Chapter 12 Inductors and AC Circuits

Size: px
Start display at page:

Download "Chapter 12 Inductors and AC Circuits"

Transcription

1 hapter Inductors and A rcuts awrence B. ees 6. You may make a sngle copy of ths document for personal use wthout wrtten permsson. Hstory oncepts from prevous physcs and math courses that you wll need for ths chapter: electrc feld see emnders magnetc feld see emnders threads see emnders stubs see emnders When you fnsh ths chapter, you wll be able to: descrbe explan explan. Introducton Intro

2 . An Inductor n a D rcut A col of wre placed n a crcut s called an nductor. A number of nductors are llustrated n Fg... Whle nductors can take on a varety of forms, the smplest nductor s just a solenod. Fgure.. A varety of nductors. et s consder an nductor n the smple seres D crcut llustrated n Fg... Fgure.. A D crcut wth an nductor. We know that the current passng through the nductor wll create a magnetc feld and that the nductor wll have a small resstance, but other than that, the nductor s smply a length of wre. If we gnore ts resstance, there wll be a current gven by Ohm s aw: /. Now let s take a magnet and brng near the nductor, as shown n Fg..3. N Fgure.3. A D crcut wth an nductor and a magnet.

3 There wll be feld lnes from the magnet comng down nto the nductor. Snce the feld s ncreasng, the nductor wll create an nduced magnetc feld that wll pont upward. Ths wll cause a current to low n the crcut. (Dependng on your pont of vew, you may see the cols wound one way or the other. But, f we assume we re lookng somewhat downward on the cols, current wll flow from the top of the nductor toward the postve termnal of the battery.) If the south pole of the magnet s brought near the nductor n the same fashon, current wll flow n the opposte drecton. If the magnet s statonary, t doesn t affect the crcut at all. In other words, an nductor wll change a crcut f there s a changng magnetc feld passng through t, so that an nduced current wll be produced. Thngs to remember: In a D crcut, an nductor normally behaves just as a long segment of wre. If there s a changng magnetc feld n an nductor, current wll be nduced n the crcut... An Inductor n an A rcut Now let s attach the nductor and resstor to an A power supply, as shown n Fg..4. Because the power supply s changng snusodally, the magnetc feld produced by the nductor also vares snusodally. And snce the magnetc feld n the nductor vares n tme, an nduced EMF s produced n the col. Ths process s called self nducton. ε Fgure.4. An A crcut wth an nductor. The easest way of descrbng self nducton s to fnd the EMF produced by the nductor. We wll gnore any resstance n the nductor s cols, so the voltage across the nductor s just the nduced EMF. Knowng the EMF wll allow us to calculate how the current n the crcut behaves n tme. Now let s use faraday s aw to see just what n nductor does n a crcut. et s assume we have a solenodal nductor wth a cross sectonal area A and N turns of wre over a length l. We defne n N/l to be the number of turns per unt length as we dd n hapter 8. Puttng ths all together, we get: 3

4 B µ n Φ B NΦ BA µ na B dφ ε N Nµ na µ n la B d µ n la As we can see, the EMF equals some quanttes that depend only on the sze and shape of the solenod and on the rate at whch current changes n crcut. Ths sn t too surprsng, as the rate flux changes n the solenod must be ted to the rate current changes n the crcut. For convenence, we lump all of the geometrcal factors nto one term called the nductance of the nductor. The nductance of a solenodal nductor s, then (. Inductance of a solenod) n la. In general, nductance can be defned from the relatonshp (.) where: µ Inductance d s the voltage across the nductor measured n volts (). s the nductance of the nductor measured n henres (H). I s the current through the nductor measured n amperes (A). As wth many equatons, the sgn of the nductance equaton can be confusng. The rule s that voltage s postve f t tends to drve current n the drecton current s already flowng. Ths s just a consequence of enz s aw. If current n the crcut s decreasng, the voltage of the nductor pushes () charge n the drecton of the current to ncrease the current to oppose ts decrease. If the current s ncreasng, the nductor pushes charge aganst the current n order to reduce the current and oppose ts ncrease. Note the smlarty between the equatons for voltage across a resstor, a capactor, and an nductor: dq q d d q 4

5 It may not take a great deal of magnaton to beleve that nductance adds lke resstance rather than capactance n seres and parallel combnatons. To be more rgorous, we can see that the voltages of two nductors n parallel must be the same and that d/ as well as must the same for two nductors n seres. In seres: In parallel: d d d d d d Thngs to remember: d Inductance s defned by the equaton: Inductance depends on the geometry of the nductor, not on the current, etc. Inductance adds lke resstance n seres and parallel combnatons..3 Energy n Inductors and Magnetc Felds et s take a very smple crcut consstng only of an nductor and an A power supply, as llustrated n Fg..5. 5

6 ε Fgure.5. An A crcut wth an nductor. Not worryng too much about sgns, we know that the voltage across the power supply must equal the voltage across the nductor: d ε. and the power provded by the power supply must be d P ε d Snce power s the rate of change of energy, and the only energy s the potental energy of the nductor, we must conclude:. (.3 Energy stored n an nductor) U. If we take the specal case of a solenodal nductor, we can wrte the energy as: U µ n Al U µ n Al 6

7 l Snce the magnetc feld s B µ n and the volume of the solenod s vol A, we can wrte the energy densty n the nductor as : (.4 Energy densty n a magnetc feld) u U vol B µ. Note that these equaton bear strong resemblance to the equatons for energy stored n a capactor and the energy densty of the electrc feld: U U vol, u ε E. Thngs to remember: The energy stored n an nductor s U. U The energy densty of a magnetc feld s u B. vol µ.4. rcuts et s return agan to a smple crcut contanng a battery, a resstor, and an nductor all connected n seres; however, now let s add a swtch to the crcut. Fgure.6. A seres crcut. Intally there s no current and no magnetc feld n the nductor. As soon as the swtch s closed, current starts flowng from the battery and magnetc starts beng produced n the nductor. The nductor tres to oppose change n the system. That s, t produces an nduced current that opposes the current from the battery and opposes the creaton of a magnetc feld n the nductor. et s see f we can fnd the current as a functon of tme n the crcut. To do ths, we apply Krchoff s oop aw to the crcut. One thng we need to be careful of s to get the sgns 7

8 8 correct n the loop equaton. Just after the swtch s closed, we know the EMF of the nductor opposes that of the battery, so we can put and sgns on the crcut elements as n Fg..7. Fgure.7. An crcut wth and sgns of the voltages added. Now, we can wrte out the loop equaton: d We need to remove the absolute value removed. To do ths, we have to ask whether the current s ncreasng n tme or decreasng n tme. It may not be obvous, but t turns out that the ntal current s zero and t rses to a fnal value of /, the current that would flow f there were no nductor. Hence: > d d We mght guess (and snce I know the answer already, the guess s correct) that the soluton to ths equaton would be smlar to the equaton of a chargng capactor. So let s try: ( ) ( ) e e e e e e e t t t t t t t t τ τ τ τ τ τ τ τ τ τ τ ) ( / / / / / / /

9 We see then that the current obeys an exponental equaton, much as s the charge n a chargng capactor; however the tme constant s now τ /. If the tme constant s large, t takes a long tme for the current to reach ts maxmum value. It makes sense that a large nductor would be better able to oppose the battery s current and that t would take a relatvely large tme for the current to ncrease to ts fnal value. The dependence of the tme constant on resstance may be a lttle harder to understand ntutvely. However, we thnk of the nductor as creatng an nduced current that contnues to flow opposte the battery. The smaller the resstance, the longer tme t takes for the nduced current to de out leavng only the current of the battery. There s one more type of crcut we can consder, that shown n Fg..8 below. Fgure.8. A varaton of the crcut. In ths crcut, as swtch s ntally n poston and a steady-state current / s flowng through the nductor. Then at tme t, the swtch s moved to poston, removng the battery from the crcut. The nductor tres to keep current flowng through the crcut as long as t can. The nductor then acts lke a battery pushng current around the crcut n the orgnal drecton, as shown n Fg..9. Fgure.9. The crcut of Fg..8 wth the swtch flpped to poston. The loop equaton for the crcut wth the swtch n poston s d. 9

10 The current s now decreasng, so to remove the absolute values we need to do the followng: d < d Ths tme we mght expect the current to be an exponentally decreasng functon of tme. ( t) e e τ τ t / τ t / τ e t / τ Just as wth crcuts, the same tme constant governs both Thngs to remember: In crcuts, current changes n tme ether by The tme constant s τ..5. rcuts and Phases t /τ e t /τ e /τ or by e t. and /τ e t equatons. The next thng we can do s consder what happens when we charge a capactor to a voltage and connect t n seres wth an nductor, as shown n Fg..9. Fgure.9. An crcut. At frst glance, t mght not seem that ths crcut would be much dfferent than a crcut wth a battery; however, the current changes as the capactor dscharges, so an nduced s produced on the nductor. We can qualtatvely guess what should happen wth ths crcut ether by consder the current and charge or by consderng energy. Snce both are nstructve n dfferent ways, we ll look at each n turn.

11 Frst, let s thnk about charge and current. We begn by connectng a charged capactor to the nductor. As tme progresses, the crcut goes through the followng stages: ) The capactor begns to dscharge, but the nductor opposes the flow of current. ) The current from the capactor ncreases as the capactor dscharges. 3) The capactor s fully dscharged but current s flowng through the crcut. The nductor keeps current n the same drecton. 4) The capactor begns to charge n the opposte drecton. 5) The capactor has charge Q n the opposte drecton and current ceases to flow. Fgure.. Successve stages of the capactor dschargng and chargng agan n the opposte drecton. Note that snce there s no resstance n ths crcut, the charge oscllates back and forth ndefntely. Now let s thnk about the same process n terms of energy. We ll follow the same stages as before: ) All the energy s n the electrc feld of the capactor. ) As current begns to flow, some of the capactor s energy s transferred to the magnetc feld of the nductor. 3) The capactor s fully dscharged and all the energy n the system s n the nductor. Ths mples that the current reaches a maxmum at ths pont. 4) The capactor begns rechargng and some of the energy s transferred back to the capactor. 5) All the energy goes back to the electrc feld of the nductor. At ths pont we could guess that the soluton to the problem must be somethng lke q( t) snωt, but we don t know whatω s. et s see f we can apply Krchoff s oop aw as we dd before. The trcky part s to get the sgns rght. To do that, all we have to do s fnd any tme where the sgns are all consstent and wrte down the equaton at that tme. The sgns at other tmes wll be consstent wth that tme. At ths pont, we need to establsh a sgn conventon for voltages. The reason we need to do ths s that sgns can quckly become confusng when the drecton of the current s constantly changng. Our bass for the sgn conventon s that we want to use Ohm s aw the same way n A crcuts as n D

12 crcuts. Note that the voltage across a resstor s taken to be postve when the voltage opposes current flow. We then use ths same conventon for capactors and nductors: Sgn conventon for voltages n A crcuts. Defne a postve sense for current. oltage across a resstor, capactor, or nductor s postve f t pushes current n the negatve drecton and negatve f t pushes current n the postve drecton. There are some very mportant consequences to ths sgn conventon, so we should take a lttle whle to go over these. et s consder the case of resstors, capactors, and nductors ndvdually. For resstors, the sgn conventon s qute smple. When the current s postve, the resstor pushes current n the negatve drecton, so the voltage s postve. When the current s negatve, t pushes current n the postve drecton, so the voltage s negatve. We can wrte. (t) (t) t Fgure.. urrent through and the voltage across a resstor n an A crcut. We say that the voltage across a resstor s n phase wth the current through the resstor. That s, the peaks and valleys of the two functons occur at the same tme. For nductors, we know the nduced voltage wll oppose the change n current. When the current s postve and ncreasng, the nduced EMF wll oppose the ncrease, pushng charge n the negatve drecton. et s consder the sgns for the voltage n each of the possble combnatons of postve and negatve current and ncreasng and decreasng current. The one trcky part of the table s to remember that f the current s negatve and d/ s postve, the current s gettng more postve meanng that the magntude of the current s droppng. Smlarly f s negatve and d/ s also negatve, the current s gettng smaller (more negatve) so ts magntude s gettng larger. Be sure you thnk about that a bt before you go on.

13 urrent d urrent Magntude Induced urrent Drecton Inductor oltage postve postve ncreasng negatve postve postve negatve decreasng postve negatve negatve postve decreasng negatve postve negatve negatve ncreasng postve negatve The mportant thng to note about ths table s that the nductor voltage s postve when the slope of the current s postve and the nductor voltage s negatve when the slope of the current s negatve. Because of ths, we can wrte: d (.5 For the A crcut sgn conventon). Ths equaton s qute confusng because the sgn seems to be reversed from our earler result, but t the consequence of our conventon that postve voltage causes current to flow n the negatve drecton. (t) 9 (t) t Fgure.. urrent through and the voltage across an nductor n an A crcut. Thnk About It ook at Fg.. and convnce yourself that the voltage across the nductor s postve whenever the slope of the current s postve. 3

14 In ths case we say that the voltage across an nductor leads the current by 9, or that the phase angle s 9. Note that the phase angle s the angular dfference between the maxmum voltage and the maxmum current, as shown by the arrow n Fg... apactors are just a lttle harder. Wth D crcuts, we always thought of the charge on a capactor as postve. Wth A crcuts we can no longer do that. By our sgn conventon, we must take the charge on a capactor to be postve when t tends to drve charge aganst the current. But what we really want to know s what that means n terms of current. If the charge on a capactor s postve, the capactor voltage s postve. If current s decreasng, then current must be flowng n the negatve drecton. et s make a table of all such results: apactor harge apactor oltage urrent Drecton dq d or postve postve negatve negatve postve postve postve postve negatve negatve negatve negatve negatve negatve postve postve dq Ths table tells us that. But snce the charge and voltage have the same sgn, we see that whenever the voltage has a negatve slope, the current must be negatve. Smlarly, whenever the voltage has a postve slope, the current must be postve. These results lead to the graph shown n Fg..3. (t) (t) 9 t Fgure.3. urrent through and the voltage across a capactor n an A crcut. In ths case we say that the voltage across a capactor lags the current by 9, or that the phase angle s 9. Agan, the phase angle s the angular dfference between the maxmum voltage and the maxmum current. 4

15 Now let s return to our smple crcut. For smplcty, we take a tme shortly after current begns to flow from the capactor, as shown n Fg... et s take postve current to be n the clockwse drecton. The charge on the capactor tends to drve current n the postve drecton, so the capactor charge and voltage wll both be negatve ntally (by our confusng sgn conventon). Snce the current s gettng larger n magntude, the EMF on the nductor wll drve the current n the negatve drecton, and hence be postve. goes ths way. Fgure.4. An crcut shortly after the capactor begns dschargng. In ths case, we can wrte the loop equaton as: c q d We need to get rd of the absolute value notaton. In Fg.. the charge on the capactor s negatve and ncreasng (gettng less negatve) and the current s postve and ncreasng. Thus, we have: q < To keep all the sgns consstent, we must have: dq > > d > dq d d q > q d q 5

16 Ths then leads to the dfferental equaton for crcuts: d q (.6) q As you may easly verfy, the soluton to ths equaton must be a combnaton of snes and cosnes. Snce we want charge to be a mnmum at tme t, we choose q( t) cosωt. Then: ω cosωt cosωt ω Ths tells us the frequency at whch the charge on the capactor, the current n the crcut, the energy n the crcut, the voltage on the capactor, the voltage on the nductor everythng n the crcut oscllates. Once we know the charge on the capactor, we can fnd anythng we want. ω q( t) q( t) dq ω snωt d f π cosωt cosωt snωt ω cosωt cosωt In Fg..5, we plot the current and the voltages across the capactor and the nductor as a functon of tme. 6

17 (t) (t) (t) t Fgure.5. urrent and voltages n an rcut. Note how the capactor s voltage peaks after the current, but the nductor s voltage peaks before the current, just as we had suggested above. A convenent way to remember these phase relatonshp s to use the mnemonc devce below. EI the IE man In an nductor, the EMF ( ) leads the current by 9. In a capactor, the current leads the EMF ( ) by 9. Thngs to remember: An crcut oscllates at an angular frequency ω. Energy s transferred back and forth between the electrc feld of the capactor and the magnetc feld of the nductor as the crcut oscllates. EI the IE man and ts meanng. Know how to derve Krchoff s loop equaton, Eq.6. You may be a bt cavaler about sgns. 7

18 .6. Phasors The word phasor s short for phase vector. It s a way to represent a sne or cosne functon graphcally. If you have taken Physcs 3, you may have used phasors to analyze the nterference of lght through slts. In ths course, phasors are very helpful n vsualzng and analyzng A crcuts. In A crcuts, currents and voltages are all snusodal functons. The general mathematcal form of such a functon s: where A t) A sn t ( ( ω φ ) A (t) s the value of A (generally a current or voltage) at tme t. A s the maxmum value of A. ω s the angular frequency n rad/s. φ s the phase angle. A phasor s a vector whch has length A and s drected at an angle θ ωt φ to the x axs, as shown n Fg..6. A sn( ω t φ ) A θ ω t φ Fgure.7. A phasor representng the functon A t) A sn( ω t φ ) (. As any other vector the phasor A r can be expressed n terms of components: r A A cos y ( ω t φ) xˆ A cos( ωt φ) ˆ. From ths we can see the relaton between the phasor and the functon s that the functon s just the y component of the phasor. The angle of such a phasor changes n tme, so as tme progresses, the phasor rotates about the orgn at an angular velocty ω. Ths s llustrated n Fg..8 or n an anmated verson on the course webste at 8

19 Fgure.8. A phasor rotatng as a functon of tme. et s assume that we have an A crcut wth a current gven by the equaton ( t) sn( ωt). Assume that both and ω are known. We wsh to then construct phasors for the voltages across resstors, nductors, and capactors. A. esstors In order to construct a phasor for the voltage across any crcut element, we need to know the magntude and the angle of the phasor. Ths s easy for a resstor, as we only need Ohm s aw and the knowledge that the phase angle for a resstor s. We then have; where ( r) sn( ω t) s the maxmum voltage across the resstor n volts (). s maxmum current through the resstor n amperes (A). s the resstance n ohms ( Ω ). We can draw the phasor when the current s at any angle. For smplcty, let s draw t for tme t. r r Fgure.9. The voltage and current phasors for a resstor. An anmated verson of ths can be found at 9

20 on the course webste at B. Inductors Now we can go through the same process for nductors. We know the angle of the voltage phasor as t s 9 ahead of the current. The magntude of the phasor comes from the relatonshp: d ω ω cos( ω t ) Note that ths equaton looks a lot lke Ohm s aw. Even though an nductor has no resstance and no energy loss, the nductance offers an effectve resstance to lmt the flow of current through a crcut. We call ths effectve resstance the nductve reactance and wrte t as: (.5 Inductve eactance) X ω X It s reasonable that the effectve resstance for an nductor s ω snce hgher frequences and larger nductance both lead to larger nduced currents. Then we can draw the phasors for an nductor as follows: r r Fgure.. The voltage and current phasors for an nductor. An anmated verson of ths can be found at on the course webste at

21 . apactors Fnally, we come to capactors. The angle of the voltage phasor as t s 9 behnd the current. Snce dq/, the magntude of the phasor comes from the relatonshp: q ω ω cos( ω t) As wth an nductor, a capactor has no resstance and no energy loss, but t does produce an effectve resstance n a crcut. We call ths effectve resstance the caapctve reactance and wrte t as: (.6 apactve eactance) X ω X To understand ths relatonshp, we should remember that a capactor offers resstance n a crcut when t charges and opposes current flows. The larger the charge the capactor develops, the larger ts effectve resstance n a crcut. If frequency s very hgh, a capactor has lttle chance to charge before the current reverses drecton, so t offers lttle resstance to current. Smlarly, f the capactance s large, a large amount of charge can collect on a capactor plates wthout ncreasng the voltage much. Then we can draw the phasors for an nductor as follows: r r Fgure.. The voltage and current phasors for an nductor. An anmated verson of ths can be found at on the course webste at

22 Thngs to remember: A sne wave can be represented by the projecton of a phasor onto the y axs. The length of a phasor s the ampltude of the sne wave. The angle of a phasor wth respect to the x axs s the anglular argument (the phase angle) of the sne functon. Phasors of waves can be added as vectors to produce the sum of two sne functons. For A crcuts, the phase angle s ω t, so phasors rotate counterclockwse at an angular speed of ω. We usually wsh to construct current and voltage phasors for each crcut element. For resstors, the current and voltage phasors are n phase. For nductors, the voltage phasor s at an angle of 9 from the current phasor. For capactors, the voltage phasor s at an angle of 9 from the current phasor..7. ules for A rcuts We can use smlar rules for A crcuts as we had for D crcuts, but wth small modfcatons to take nto account the snusodal varaton n voltages and currents. ules for A rcuts. If two crcut elements are n seres, they have the same current phasor and ther voltage phasors add as vectors.. If two crcut elements are n parallel, they have the same voltage phasor and ther current phasors add as vectors. 3. The sum of current phasors nto a juncton equals the sum of current phasors out of a juncton. 4. The sum of voltage phasors from crcut elements around a loop s the sum of voltage phasors from EMFs around a loop. (Note that they don t sum to zero because of our standard defnton of postve voltage. That s, voltage phasors for crcut elements are voltage drops, whereas voltages for EMFs are voltage gans.) In order to see how to apply these rules, let s take a specfc example. Example.. An A crcut wth seres and parallel elements.

23 ε 3 Fgure.. An A crcut wth both seres and parallel components. Frst, we want to gve numercal values for a number of the quanttes n the problem: ω Ω.Ω 3.A Hz H F We wsh to fnd the voltage of the power supply and all the other voltages and currents n the crcuts whle we re at t. When we worked wth D crcuts usng Krchoff s aws, the frst thng we dd was assgn a drecton for the current. Wth A crcuts, we need to defne the drecton we take to be postve. Wth a sngle EMF, we should thnk of the power supply as a battery and draw the currents so they are consstent wth flow of current from a battery. Ths s done n Fg... Frst, let s draw current and voltage phasors for the nductor. For smplcty, we can draw the current phasor along the x axs. We know the voltage phasor wll be along the y axs and that ts magntude wll be: X ω 4.Ω. 3

24 Ths gves us: r r Next we add a phasor for the resstor,. Snce ths resstor s n seres wth the nductor, the share the same current phasor. The length of the voltage phasor for the resstor s: 3.. The voltage of the resstor s n phase wth the current. r r r r Next, we add the phasors for the nductor and resstor voltage to gve us the voltage phasor for the combnaton of the two crcut elements. 4

25 r r φ r We would lke to fnd the magntude of r the angle that r and the components of r. Ths can be accomplshed by smple geometry: r makes wth respect to the x axs, tanφ r 4, 3 cosφ xˆ.37 φ snφ yˆ xˆ yˆ 3. xˆ. yˆ Before we leave the resstor and nductor, there s one more thng we can fnd, the mpedance of the combnaton. Z or Z Z X 4.3Ω 4.3Ω X Now that we ve found the voltage, current, and mpedance for the branch of the crcut wth, we turn our attenton to the capactor. Snce the capactor s n parallel wth the nductor-resstor combnaton, we know the capactor s voltage phasor wll be the same as r. In the capactor (IE), the current leads the voltage, so we know the drecton of the current phasor, r 3. We can fnd the magntude of the current phasor by consderng the voltage phasors: 5

26 X 3 4.Ω ω 3 X 3.9A Now, let s draw the phasor dagram for the capactor..37 r r r 3 r For the next step, we note that the currents n the two parallel branches, r and r 3, add as phasors to gve the total current, r. r r r r 3 r 6

27 et s algebracally work out the components of r and r 3. We know that the angle between r 3 and the negatve x axs s 9 φ 4. 4, and the length of the phasor s 3.9A, so: r 3 r (3.9A)cos(4.4 ) xˆ (3.9A)sn(4.4 ) yˆ 3.Axˆ.75Ayˆ r r.75ayˆ 3 Note that we add phasors exactly the same way we add any other vectors. Now that we have the current through, we can easly fnd the voltage phasor for ths resstor: r r.5 yˆ. We can solve for the EMF snce the voltage phasors around any closed loop s zero. Keepng n mnd the sgn conventon for voltages across crcut elements s opposte that for the power supply, we have: r r ε r r ε r r.5 yˆ 3. xˆ. yˆ 3. xˆ 3.5 yˆ ε ( 3. ) ( 3.5 ) 3.83 φ ε r r r r r Fnally, we would lke to know the phase angle between the current r and the EMF, εr. In ths case, t s easy to fnd the angle wth smple geometry, snce the current s n the y drecton. 7

28 However, I ll use a lttle trck that s handy when we want to fnd the angle between arbtrary vectors. For two general vectors: Applyng ths rule to our vectors: r r A B AB cosφ r r A B cosφ AB r r ε cosφ ε φ ±.53 Snce r leads εr, the phase angle s negatve (more lke a capactor) and we conclude that φ. 53 Thngs to remember: Know the rules outlned n the box at the begnnng of ths secton..8 Power n A rcuts We know that n a D crcut P. In an A crcut, ths same result must hold; however, power wll be a functon of tme. Frst, let s consder a resstor. Assumng a snusodal current, we know the voltage across the resstor wll be n phase wth the current. Hence: ( ω t) P( t) ( t) ( t) sn. Although ths s true, we often fnd that t s more useful to know the average power dsspated by the resstor over one full cycle (or many full cycles). To fnd the average power, we can frst thnk of takng N samples over one full cycle. P N N j P j N N j sn ( ω t ) Ths, of course, s just an approxmaton to the average, snce N would have to be nfnte for the average to be exact. We actually can take the sum over an nfnte number of terms by turnng the sum nto an ntegral. To do ths, let s dvde one cycle nto N tme ntervals each of length t, so that t T / N where T s one full perod. Then P N t N j sn ( ω t ) t sn ( ω t) T T 8

29 The ntegral s a standard one for calculus courses, but we don t actually do t here. It s suffcent to know that the result s just T/. Ths then gves us: (.7 A Power, esstor) P. Ths equaton brngs up a practcal queston. When we say an A power supply provdes a gven voltage, what number should we use for the voltage? We could use the average voltage, but that s just zero. Another good dea would be to average the absolute value of the voltage over one cycle. The drawback to ths s that absolute values are rather messy mathematcal functons. The soluton physcsts chose was based on average power. They suggested that a good defnton for effectve voltage s the voltage that would yeld the same power as a D voltage. That s, we let: eff P eff Mathematcally, the way we obtan ths effectve voltage s essentally what we dd to fnd the average power: we square the voltage, average the squared voltage over one complete cycle, and then take the square root. Because of ths, the effectve voltage s called the root-mean-square voltage, or just the rms voltage. So, when we say that our outlets provde 5 A, what we really mean s that the rms voltage s 5. Thnk About It What s the peak voltage n your A power outlet? Of course we can defne rms currents n a smlar fashon to rms voltages, and the power n terms of these rms quanttes. P rms rms rms rms So far, we have only consdered the power dsspated by a resstor. We also want to be able to calculate the power provded by a power supply. We can follow the same method we used above, but we do have to take nto consderaton that there s a phase dfference between the 9

30 voltage and the current. Denotng the phase angle from the current phasor to the voltage phasor as φ (φ 9 for an nductor, for example), the nstantaneous power s: Ths leads to an average power: P( t) ( t) ε ( t) sn ε sn P ε P T ( ωt) ε sn( ωt φ) ( ωt) [ sn( ωt) cosφ cos( ωt) snφ] sn ε cosφ T T P ε cosφ ( ωt) [ sn( ωt) cosφ cos( ωt) snφ] T sn T ε snφ T ( ωt) sn( ωt) cos( ωt) The power provded by an A power supply, then depends on the phase angle between the current and EMF phasors. The quantty cos φ s called the power factor for the crcut. When the current s n phase n wth the EMF, the power s just what t was for D crcuts, but the power provded by the power supply s less when the phase angle gets larger. Thnk About It What s the power factor for a resstor? a capactor? and nductor? a capactor? What power s dsspated n an nductor? a capactor? The power provded by a power supply (or really any crcut element) s gven by: (.8 A Power, general) P cosφ rms cosφ. r r rms Example.. Power n the crcut of Example.. What power s dsspated n each of the resstors of Fg..? What power s provded by the power supply? 3

31 esstor has a resstance of. Ω and a current of power s P (.75 A) (.Ω). 565W. esstor has a resstance of. Ω and a current of power s P ( 3.A) (.Ω) 4. 5W.. 75A passes through t, so the 3. A passes through t, so the The power provded by the power supply s (wth no ntermedate roundng): P ε cosφ 5. 65W Note that the power provded by the power supply equals the total power dsspated by the resstors. Thngs to remember: The rms values of voltage or current are the peak values dvded by. The average power dsspated by a resstor n an A crcut s P The average power provded by an A power source s P cosφ. cos φ s called the power factor. rmsrms..9. The Seres rcut The smplest and most mportant A crcut we can analyze s the seres crcut, llustrated n Fg... ε Fgure.. The seres crcut. 3

32 The analyss of ths crcut s qute easy snce all the crcut elements share the same current. We can draw a phasor dagram for the current and voltages across the nductor, capactor, and resstor. X r r ε Z X εr Fgure.3. Phasors for the seres crcut. Snce the elements are n seres, we recognze that the voltages phasors of the resstor, capactor, r r r r and nductor add together to get the total EMF, ε. In Fg..3, we have added r r frst and then added that sum to r to get. At ths pont, I want to ntroduce a lttle trck to smplfy ths partcular problem. We note that every voltage n the system, ncludng the EMF, has a common factor of. If we dvde ths out, we can obtan a dagram for the resstance, reactances, and mpedance that s qute useful. We ll call ths the mpedance dagram of the crcut. It s shown n fgure.4. 3

33 X X X X Z φ Fgure.4 The mpedance dagram of seres crcut. From ths dagram, we can deduce some smple equatons for the total mpedance and the phase angle n seres crcuts: (.9 For seres crcuts) Z tanφ cosφ ( X X ) X Z X Thngs to remember: Be able to reproduce the mpedance dagram for seres crcuts, Fg..4. Understand the phase relatons that appear n the dagram. X X Know that ( ) Know that.. esonance Z X and be able to deduce ths from the mpedance dagram. X tan φ and be able to deduce ths from the mpedance dagram. If we consder the mpedance equaton along wth the equatons for the nductve and capactve reactance, we see that mpedance has a rather complcated dependence on the frequency of the oscllator. 33

34 Z X X ( X X ) ω ω When the frequency s very small, the capactve reactance s large and Z X. When the frequency s very large, the nductve reactance s large and Z X. Z s a mnmum when X X, and Z s a mnmum, the current n the crcut s a maxmum. When ths happens, the resstance provdes the only mpedance n the crcut, Z. Ths condton s called resonance and s electrcal analog to resonance n harmonc oscllators such as a swngng pendulum or a mass on the end of a sprng. Frst, let us fnd the frequency at whch resonance s acheved: (Eq.., resonance frequency) X X ω ω ω Note that ths s just the frequency at whch the capactor and nductor would oscllate f there were power supply or resstance n the crcut. Note that the condton for maxmzng the current n an crcut s to drve the crcut at the frequency t wants to naturally oscllate. Ths s smlar to a swng the maxmum ampltude s obtaned when we push the swng at ts natural frequency of oscllaton. X X X Z X Fgure.5. The mpedance dagram at resonance. 34

35 Thngs to remember: esonance s when the mpedance of a crcut s mnmzed so that the current s maxmzed. esonance n a seres crcut s acheved when X X. At resonance Z. The resonant frequency s the natural oscllaton frequency, ω. 35

Chapter 31B - Transient Currents and Inductance

Chapter 31B - Transient Currents and Inductance Chapter 31B - Transent Currents and Inductance A PowerPont Presentaton by Paul E. Tppens, Professor of Physcs Southern Polytechnc State Unversty 007 Objectves: After completng ths module, you should be

More information

Faraday's Law of Induction

Faraday's Law of Induction Introducton Faraday's Law o Inducton In ths lab, you wll study Faraday's Law o nducton usng a wand wth col whch swngs through a magnetc eld. You wll also examne converson o mechanc energy nto electrc energy

More information

Chapter 6 Inductance, Capacitance, and Mutual Inductance

Chapter 6 Inductance, Capacitance, and Mutual Inductance Chapter 6 Inductance Capactance and Mutual Inductance 6. The nductor 6. The capactor 6.3 Seres-parallel combnatons of nductance and capactance 6.4 Mutual nductance 6.5 Closer look at mutual nductance Oerew

More information

+ + + - - This circuit than can be reduced to a planar circuit

+ + + - - This circuit than can be reduced to a planar circuit MeshCurrent Method The meshcurrent s analog of the nodeoltage method. We sole for a new set of arables, mesh currents, that automatcally satsfy KCLs. As such, meshcurrent method reduces crcut soluton to

More information

An Alternative Way to Measure Private Equity Performance

An Alternative Way to Measure Private Equity Performance An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate

More information

Linear Circuits Analysis. Superposition, Thevenin /Norton Equivalent circuits

Linear Circuits Analysis. Superposition, Thevenin /Norton Equivalent circuits Lnear Crcuts Analyss. Superposton, Theenn /Norton Equalent crcuts So far we hae explored tmendependent (resste) elements that are also lnear. A tmendependent elements s one for whch we can plot an / cure.

More information

Laws of Electromagnetism

Laws of Electromagnetism There are four laws of electromagnetsm: Laws of Electromagnetsm The law of Bot-Savart Ampere's law Force law Faraday's law magnetc feld generated by currents n wres the effect of a current on a loop of

More information

The circuit shown on Figure 1 is called the common emitter amplifier circuit. The important subsystems of this circuit are:

The circuit shown on Figure 1 is called the common emitter amplifier circuit. The important subsystems of this circuit are: polar Juncton Transstor rcuts Voltage and Power Amplfer rcuts ommon mtter Amplfer The crcut shown on Fgure 1 s called the common emtter amplfer crcut. The mportant subsystems of ths crcut are: 1. The basng

More information

An Overview of Financial Mathematics

An Overview of Financial Mathematics An Overvew of Fnancal Mathematcs Wllam Benedct McCartney July 2012 Abstract Ths document s meant to be a quck ntroducton to nterest theory. It s wrtten specfcally for actuaral students preparng to take

More information

Recurrence. 1 Definitions and main statements

Recurrence. 1 Definitions and main statements Recurrence 1 Defntons and man statements Let X n, n = 0, 1, 2,... be a MC wth the state space S = (1, 2,...), transton probabltes p j = P {X n+1 = j X n = }, and the transton matrx P = (p j ),j S def.

More information

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ). REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or

More information

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..

More information

BERNSTEIN POLYNOMIALS

BERNSTEIN POLYNOMIALS On-Lne Geometrc Modelng Notes BERNSTEIN POLYNOMIALS Kenneth I. Joy Vsualzaton and Graphcs Research Group Department of Computer Scence Unversty of Calforna, Davs Overvew Polynomals are ncredbly useful

More information

Finite Math Chapter 10: Study Guide and Solution to Problems

Finite Math Chapter 10: Study Guide and Solution to Problems Fnte Math Chapter 10: Study Gude and Soluton to Problems Basc Formulas and Concepts 10.1 Interest Basc Concepts Interest A fee a bank pays you for money you depost nto a savngs account. Prncpal P The amount

More information

SPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background:

SPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background: SPEE Recommended Evaluaton Practce #6 efnton of eclne Curve Parameters Background: The producton hstores of ol and gas wells can be analyzed to estmate reserves and future ol and gas producton rates and

More information

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy 4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.

More information

where the coordinates are related to those in the old frame as follows.

where the coordinates are related to those in the old frame as follows. Chapter 2 - Cartesan Vectors and Tensors: Ther Algebra Defnton of a vector Examples of vectors Scalar multplcaton Addton of vectors coplanar vectors Unt vectors A bass of non-coplanar vectors Scalar product

More information

The OC Curve of Attribute Acceptance Plans

The OC Curve of Attribute Acceptance Plans The OC Curve of Attrbute Acceptance Plans The Operatng Characterstc (OC) curve descrbes the probablty of acceptng a lot as a functon of the lot s qualty. Fgure 1 shows a typcal OC Curve. 10 8 6 4 1 3 4

More information

1. Measuring association using correlation and regression

1. Measuring association using correlation and regression How to measure assocaton I: Correlaton. 1. Measurng assocaton usng correlaton and regresson We often would lke to know how one varable, such as a mother's weght, s related to another varable, such as a

More information

Section C2: BJT Structure and Operational Modes

Section C2: BJT Structure and Operational Modes Secton 2: JT Structure and Operatonal Modes Recall that the semconductor dode s smply a pn juncton. Dependng on how the juncton s based, current may easly flow between the dode termnals (forward bas, v

More information

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.

More information

DEFINING %COMPLETE IN MICROSOFT PROJECT

DEFINING %COMPLETE IN MICROSOFT PROJECT CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMI-SP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,

More information

Lecture 3: Force of Interest, Real Interest Rate, Annuity

Lecture 3: Force of Interest, Real Interest Rate, Annuity Lecture 3: Force of Interest, Real Interest Rate, Annuty Goals: Study contnuous compoundng and force of nterest Dscuss real nterest rate Learn annuty-mmedate, and ts present value Study annuty-due, and

More information

Lecture 3: Annuity. Study annuities whose payments form a geometric progression or a arithmetic progression.

Lecture 3: Annuity. Study annuities whose payments form a geometric progression or a arithmetic progression. Lecture 3: Annuty Goals: Learn contnuous annuty and perpetuty. Study annutes whose payments form a geometrc progresson or a arthmetc progresson. Dscuss yeld rates. Introduce Amortzaton Suggested Textbook

More information

HALL EFFECT SENSORS AND COMMUTATION

HALL EFFECT SENSORS AND COMMUTATION OEM770 5 Hall Effect ensors H P T E R 5 Hall Effect ensors The OEM770 works wth three-phase brushless motors equpped wth Hall effect sensors or equvalent feedback sgnals. In ths chapter we wll explan how

More information

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by 6 CHAPTER 8 COMPLEX VECTOR SPACES 5. Fnd the kernel of the lnear transformaton gven n Exercse 5. In Exercses 55 and 56, fnd the mage of v, for the ndcated composton, where and are gven by the followng

More information

Joe Pimbley, unpublished, 2005. Yield Curve Calculations

Joe Pimbley, unpublished, 2005. Yield Curve Calculations Joe Pmbley, unpublshed, 005. Yeld Curve Calculatons Background: Everythng s dscount factors Yeld curve calculatons nclude valuaton of forward rate agreements (FRAs), swaps, nterest rate optons, and forward

More information

Rotation Kinematics, Moment of Inertia, and Torque

Rotation Kinematics, Moment of Inertia, and Torque Rotaton Knematcs, Moment of Inerta, and Torque Mathematcally, rotaton of a rgd body about a fxed axs s analogous to a lnear moton n one dmenson. Although the physcal quanttes nvolved n rotaton are qute

More information

Support Vector Machines

Support Vector Machines Support Vector Machnes Max Wellng Department of Computer Scence Unversty of Toronto 10 Kng s College Road Toronto, M5S 3G5 Canada wellng@cs.toronto.edu Abstract Ths s a note to explan support vector machnes.

More information

21 Vectors: The Cross Product & Torque

21 Vectors: The Cross Product & Torque 21 Vectors: The Cross Product & Torque Do not use our left hand when applng ether the rght-hand rule for the cross product of two vectors dscussed n ths chapter or the rght-hand rule for somethng curl

More information

What is Candidate Sampling

What is Candidate Sampling What s Canddate Samplng Say we have a multclass or mult label problem where each tranng example ( x, T ) conssts of a context x a small (mult)set of target classes T out of a large unverse L of possble

More information

On some special nonlevel annuities and yield rates for annuities

On some special nonlevel annuities and yield rates for annuities On some specal nonlevel annutes and yeld rates for annutes 1 Annutes wth payments n geometrc progresson 2 Annutes wth payments n Arthmetc Progresson 1 Annutes wth payments n geometrc progresson 2 Annutes

More information

Implementation of Deutsch's Algorithm Using Mathcad

Implementation of Deutsch's Algorithm Using Mathcad Implementaton of Deutsch's Algorthm Usng Mathcad Frank Roux The followng s a Mathcad mplementaton of Davd Deutsch's quantum computer prototype as presented on pages - n "Machnes, Logc and Quantum Physcs"

More information

Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting

Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting Causal, Explanatory Forecastng Assumes cause-and-effect relatonshp between system nputs and ts output Forecastng wth Regresson Analyss Rchard S. Barr Inputs System Cause + Effect Relatonshp The job of

More information

HÜCKEL MOLECULAR ORBITAL THEORY

HÜCKEL MOLECULAR ORBITAL THEORY 1 HÜCKEL MOLECULAR ORBITAL THEORY In general, the vast maorty polyatomc molecules can be thought of as consstng of a collecton of two electron bonds between pars of atoms. So the qualtatve pcture of σ

More information

( ) B. Application of Phasors to Electrical Networks In an electrical network, let the instantaneous voltage and the instantaneous current be

( ) B. Application of Phasors to Electrical Networks In an electrical network, let the instantaneous voltage and the instantaneous current be World Academy of Scence Engneerng and echnology Internatonal Journal of Electrcal obotcs Electroncs and ommuncatons Engneerng Vol:8 No:7 4 Analyss of Electrcal Networks Usng Phasors: A Bond Graph Approach

More information

Rotation and Conservation of Angular Momentum

Rotation and Conservation of Angular Momentum Chapter 4. Rotaton and Conservaton of Angular Momentum Notes: Most of the materal n ths chapter s taken from Young and Freedman, Chaps. 9 and 0. 4. Angular Velocty and Acceleraton We have already brefly

More information

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange

More information

7.5. Present Value of an Annuity. Investigate

7.5. Present Value of an Annuity. Investigate 7.5 Present Value of an Annuty Owen and Anna are approachng retrement and are puttng ther fnances n order. They have worked hard and nvested ther earnngs so that they now have a large amount of money on

More information

Time Value of Money. Types of Interest. Compounding and Discounting Single Sums. Page 1. Ch. 6 - The Time Value of Money. The Time Value of Money

Time Value of Money. Types of Interest. Compounding and Discounting Single Sums. Page 1. Ch. 6 - The Time Value of Money. The Time Value of Money Ch. 6 - The Tme Value of Money Tme Value of Money The Interest Rate Smple Interest Compound Interest Amortzng a Loan FIN21- Ahmed Y, Dasht TIME VALUE OF MONEY OR DISCOUNTED CASH FLOW ANALYSIS Very Important

More information

Using Series to Analyze Financial Situations: Present Value

Using Series to Analyze Financial Situations: Present Value 2.8 Usng Seres to Analyze Fnancal Stuatons: Present Value In the prevous secton, you learned how to calculate the amount, or future value, of an ordnary smple annuty. The amount s the sum of the accumulated

More information

Section 5.4 Annuities, Present Value, and Amortization

Section 5.4 Annuities, Present Value, and Amortization Secton 5.4 Annutes, Present Value, and Amortzaton Present Value In Secton 5.2, we saw that the present value of A dollars at nterest rate per perod for n perods s the amount that must be deposted today

More information

Section 5.3 Annuities, Future Value, and Sinking Funds

Section 5.3 Annuities, Future Value, and Sinking Funds Secton 5.3 Annutes, Future Value, and Snkng Funds Ordnary Annutes A sequence of equal payments made at equal perods of tme s called an annuty. The tme between payments s the payment perod, and the tme

More information

Calculating the high frequency transmission line parameters of power cables

Calculating the high frequency transmission line parameters of power cables < ' Calculatng the hgh frequency transmsson lne parameters of power cables Authors: Dr. John Dcknson, Laboratory Servces Manager, N 0 RW E B Communcatons Mr. Peter J. Ncholson, Project Assgnment Manager,

More information

Damage detection in composite laminates using coin-tap method

Damage detection in composite laminates using coin-tap method Damage detecton n composte lamnates usng con-tap method S.J. Km Korea Aerospace Research Insttute, 45 Eoeun-Dong, Youseong-Gu, 35-333 Daejeon, Republc of Korea yaeln@kar.re.kr 45 The con-tap test has the

More information

Chapter 9. Linear Momentum and Collisions

Chapter 9. Linear Momentum and Collisions Chapter 9 Lnear Momentum and Collsons CHAPTER OUTLINE 9.1 Lnear Momentum and Its Conservaton 9.2 Impulse and Momentum 9.3 Collsons n One Dmenson 9.4 Two-Dmensonal Collsons 9.5 The Center of Mass 9.6 Moton

More information

Laddered Multilevel DC/AC Inverters used in Solar Panel Energy Systems

Laddered Multilevel DC/AC Inverters used in Solar Panel Energy Systems Proceedngs of the nd Internatonal Conference on Computer Scence and Electroncs Engneerng (ICCSEE 03) Laddered Multlevel DC/AC Inverters used n Solar Panel Energy Systems Fang Ln Luo, Senor Member IEEE

More information

Chapter 4 ECONOMIC DISPATCH AND UNIT COMMITMENT

Chapter 4 ECONOMIC DISPATCH AND UNIT COMMITMENT Chapter 4 ECOOMIC DISATCH AD UIT COMMITMET ITRODUCTIO A power system has several power plants. Each power plant has several generatng unts. At any pont of tme, the total load n the system s met by the

More information

n + d + q = 24 and.05n +.1d +.25q = 2 { n + d + q = 24 (3) n + 2d + 5q = 40 (2)

n + d + q = 24 and.05n +.1d +.25q = 2 { n + d + q = 24 (3) n + 2d + 5q = 40 (2) MATH 16T Exam 1 : Part I (In-Class) Solutons 1. (0 pts) A pggy bank contans 4 cons, all of whch are nckels (5 ), dmes (10 ) or quarters (5 ). The pggy bank also contans a con of each denomnaton. The total

More information

Luby s Alg. for Maximal Independent Sets using Pairwise Independence

Luby s Alg. for Maximal Independent Sets using Pairwise Independence Lecture Notes for Randomzed Algorthms Luby s Alg. for Maxmal Independent Sets usng Parwse Independence Last Updated by Erc Vgoda on February, 006 8. Maxmal Independent Sets For a graph G = (V, E), an ndependent

More information

Loudspeaker Voice-Coil Inductance Losses: Circuit Models, Parameter Estimation, and Effect on Frequency Response

Loudspeaker Voice-Coil Inductance Losses: Circuit Models, Parameter Estimation, and Effect on Frequency Response 44 JOURAL OF THE AUDIO EGIEERIG SOCIETY, VOL. 50, O. 6, 00 JUE Loudspeaker Voce-Col Inductance Losses: Crcut Models, Parameter Estmaton, and Effect on Frequency Response W. Marshall Leach, Jr., Professor

More information

Goals Rotational quantities as vectors. Math: Cross Product. Angular momentum

Goals Rotational quantities as vectors. Math: Cross Product. Angular momentum Physcs 106 Week 5 Torque and Angular Momentum as Vectors SJ 7thEd.: Chap 11.2 to 3 Rotatonal quanttes as vectors Cross product Torque expressed as a vector Angular momentum defned Angular momentum as a

More information

On the Optimal Control of a Cascade of Hydro-Electric Power Stations

On the Optimal Control of a Cascade of Hydro-Electric Power Stations On the Optmal Control of a Cascade of Hydro-Electrc Power Statons M.C.M. Guedes a, A.F. Rbero a, G.V. Smrnov b and S. Vlela c a Department of Mathematcs, School of Scences, Unversty of Porto, Portugal;

More information

Section 2 Introduction to Statistical Mechanics

Section 2 Introduction to Statistical Mechanics Secton 2 Introducton to Statstcal Mechancs 2.1 Introducng entropy 2.1.1 Boltzmann s formula A very mportant thermodynamc concept s that of entropy S. Entropy s a functon of state, lke the nternal energy.

More information

"Research Note" APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES *

Research Note APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES * Iranan Journal of Scence & Technology, Transacton B, Engneerng, ol. 30, No. B6, 789-794 rnted n The Islamc Republc of Iran, 006 Shraz Unversty "Research Note" ALICATION OF CHARGE SIMULATION METHOD TO ELECTRIC

More information

Financial Mathemetics

Financial Mathemetics Fnancal Mathemetcs 15 Mathematcs Grade 12 Teacher Gude Fnancal Maths Seres Overvew In ths seres we am to show how Mathematcs can be used to support personal fnancal decsons. In ths seres we jon Tebogo,

More information

Ring structure of splines on triangulations

Ring structure of splines on triangulations www.oeaw.ac.at Rng structure of splnes on trangulatons N. Vllamzar RICAM-Report 2014-48 www.rcam.oeaw.ac.at RING STRUCTURE OF SPLINES ON TRIANGULATIONS NELLY VILLAMIZAR Introducton For a trangulated regon

More information

Series Solutions of ODEs 2 the Frobenius method. The basic idea of the Frobenius method is to look for solutions of the form 3

Series Solutions of ODEs 2 the Frobenius method. The basic idea of the Frobenius method is to look for solutions of the form 3 Royal Holloway Unversty of London Department of Physs Seres Solutons of ODEs the Frobenus method Introduton to the Methodology The smple seres expanson method works for dfferental equatons whose solutons

More information

CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES

CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES In ths chapter, we wll learn how to descrbe the relatonshp between two quanttatve varables. Remember (from Chapter 2) that the terms quanttatve varable

More information

In our example i = r/12 =.0825/12 At the end of the first month after your payment is received your amount in the account, the balance, is

In our example i = r/12 =.0825/12 At the end of the first month after your payment is received your amount in the account, the balance, is Payout annutes: Start wth P dollars, e.g., P = 100, 000. Over a 30 year perod you receve equal payments of A dollars at the end of each month. The amount of money left n the account, the balance, earns

More information

FINANCIAL MATHEMATICS. A Practical Guide for Actuaries. and other Business Professionals

FINANCIAL MATHEMATICS. A Practical Guide for Actuaries. and other Business Professionals FINANCIAL MATHEMATICS A Practcal Gude for Actuares and other Busness Professonals Second Edton CHRIS RUCKMAN, FSA, MAAA JOE FRANCIS, FSA, MAAA, CFA Study Notes Prepared by Kevn Shand, FSA, FCIA Assstant

More information

A Probabilistic Theory of Coherence

A Probabilistic Theory of Coherence A Probablstc Theory of Coherence BRANDEN FITELSON. The Coherence Measure C Let E be a set of n propostons E,..., E n. We seek a probablstc measure C(E) of the degree of coherence of E. Intutvely, we want

More information

How Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence

How Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence 1 st Internatonal Symposum on Imprecse Probabltes and Ther Applcatons, Ghent, Belgum, 29 June 2 July 1999 How Sets of Coherent Probabltes May Serve as Models for Degrees of Incoherence Mar J. Schervsh

More information

1. Fundamentals of probability theory 2. Emergence of communication traffic 3. Stochastic & Markovian Processes (SP & MP)

1. Fundamentals of probability theory 2. Emergence of communication traffic 3. Stochastic & Markovian Processes (SP & MP) 6.3 / -- Communcaton Networks II (Görg) SS20 -- www.comnets.un-bremen.de Communcaton Networks II Contents. Fundamentals of probablty theory 2. Emergence of communcaton traffc 3. Stochastc & Markovan Processes

More information

8 Algorithm for Binary Searching in Trees

8 Algorithm for Binary Searching in Trees 8 Algorthm for Bnary Searchng n Trees In ths secton we present our algorthm for bnary searchng n trees. A crucal observaton employed by the algorthm s that ths problem can be effcently solved when the

More information

Traffic State Estimation in the Traffic Management Center of Berlin

Traffic State Estimation in the Traffic Management Center of Berlin Traffc State Estmaton n the Traffc Management Center of Berln Authors: Peter Vortsch, PTV AG, Stumpfstrasse, D-763 Karlsruhe, Germany phone ++49/72/965/35, emal peter.vortsch@ptv.de Peter Möhl, PTV AG,

More information

1 Battery Technology and Markets, Spring 2010 26 January 2010 Lecture 1: Introduction to Electrochemistry

1 Battery Technology and Markets, Spring 2010 26 January 2010 Lecture 1: Introduction to Electrochemistry 1 Battery Technology and Markets, Sprng 2010 Lecture 1: Introducton to Electrochemstry 1. Defnton of battery 2. Energy storage devce: voltage and capacty 3. Descrpton of electrochemcal cell and standard

More information

A Master Time Value of Money Formula. Floyd Vest

A Master Time Value of Money Formula. Floyd Vest A Master Tme Value of Money Formula Floyd Vest For Fnancal Functons on a calculator or computer, Master Tme Value of Money (TVM) Formulas are usually used for the Compound Interest Formula and for Annutes.

More information

CHAPTER 14 MORE ABOUT REGRESSION

CHAPTER 14 MORE ABOUT REGRESSION CHAPTER 14 MORE ABOUT REGRESSION We learned n Chapter 5 that often a straght lne descrbes the pattern of a relatonshp between two quanttatve varables. For nstance, n Example 5.1 we explored the relatonshp

More information

Comparison of Control Strategies for Shunt Active Power Filter under Different Load Conditions

Comparison of Control Strategies for Shunt Active Power Filter under Different Load Conditions Comparson of Control Strateges for Shunt Actve Power Flter under Dfferent Load Condtons Sanjay C. Patel 1, Tushar A. Patel 2 Lecturer, Electrcal Department, Government Polytechnc, alsad, Gujarat, Inda

More information

THE METHOD OF LEAST SQUARES THE METHOD OF LEAST SQUARES

THE METHOD OF LEAST SQUARES THE METHOD OF LEAST SQUARES The goal: to measure (determne) an unknown quantty x (the value of a RV X) Realsaton: n results: y 1, y 2,..., y j,..., y n, (the measured values of Y 1, Y 2,..., Y j,..., Y n ) every result s encumbered

More information

Problem Set 3. a) We are asked how people will react, if the interest rate i on bonds is negative.

Problem Set 3. a) We are asked how people will react, if the interest rate i on bonds is negative. Queston roblem Set 3 a) We are asked how people wll react, f the nterest rate on bonds s negatve. When

More information

Simple Interest Loans (Section 5.1) :

Simple Interest Loans (Section 5.1) : Chapter 5 Fnance The frst part of ths revew wll explan the dfferent nterest and nvestment equatons you learned n secton 5.1 through 5.4 of your textbook and go through several examples. The second part

More information

The Mathematical Derivation of Least Squares

The Mathematical Derivation of Least Squares Pscholog 885 Prof. Federco The Mathematcal Dervaton of Least Squares Back when the powers that e forced ou to learn matr algera and calculus, I et ou all asked ourself the age-old queston: When the hell

More information

Fixed income risk attribution

Fixed income risk attribution 5 Fxed ncome rsk attrbuton Chthra Krshnamurth RskMetrcs Group chthra.krshnamurth@rskmetrcs.com We compare the rsk of the actve portfolo wth that of the benchmark and segment the dfference between the two

More information

Lecture 2: Single Layer Perceptrons Kevin Swingler

Lecture 2: Single Layer Perceptrons Kevin Swingler Lecture 2: Sngle Layer Perceptrons Kevn Sngler kms@cs.str.ac.uk Recap: McCulloch-Ptts Neuron Ths vastly smplfed model of real neurons s also knon as a Threshold Logc Unt: W 2 A Y 3 n W n. A set of synapses

More information

Little s Law & Bottleneck Law

Little s Law & Bottleneck Law Lttle s Law & Bottleneck Law Dec 20 I professonals have shunned performance modellng consderng t to be too complex and napplcable to real lfe. A lot has to do wth fear of mathematcs as well. hs tutoral

More information

Forecasting the Direction and Strength of Stock Market Movement

Forecasting the Direction and Strength of Stock Market Movement Forecastng the Drecton and Strength of Stock Market Movement Jngwe Chen Mng Chen Nan Ye cjngwe@stanford.edu mchen5@stanford.edu nanye@stanford.edu Abstract - Stock market s one of the most complcated systems

More information

IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS

IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS Chrs Deeley* Last revsed: September 22, 200 * Chrs Deeley s a Senor Lecturer n the School of Accountng, Charles Sturt Unversty,

More information

NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582

NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582 NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582 7. Root Dynamcs 7.2 Intro to Root Dynamcs We now look at the forces requred to cause moton of the root.e. dynamcs!!

More information

Inter-Ing 2007. INTERDISCIPLINARITY IN ENGINEERING SCIENTIFIC INTERNATIONAL CONFERENCE, TG. MUREŞ ROMÂNIA, 15-16 November 2007.

Inter-Ing 2007. INTERDISCIPLINARITY IN ENGINEERING SCIENTIFIC INTERNATIONAL CONFERENCE, TG. MUREŞ ROMÂNIA, 15-16 November 2007. Inter-Ing 2007 INTERDISCIPLINARITY IN ENGINEERING SCIENTIFIC INTERNATIONAL CONFERENCE, TG. MUREŞ ROMÂNIA, 15-16 November 2007. UNCERTAINTY REGION SIMULATION FOR A SERIAL ROBOT STRUCTURE MARIUS SEBASTIAN

More information

A Novel Methodology of Working Capital Management for Large. Public Constructions by Using Fuzzy S-curve Regression

A Novel Methodology of Working Capital Management for Large. Public Constructions by Using Fuzzy S-curve Regression Novel Methodology of Workng Captal Management for Large Publc Constructons by Usng Fuzzy S-curve Regresson Cheng-Wu Chen, Morrs H. L. Wang and Tng-Ya Hseh Department of Cvl Engneerng, Natonal Central Unversty,

More information

Certificate No. 68613082 ONTARIO COURT (PROVINCIAL DIVISION) - versus - PAULO RAPOSO TRANSCRIPT OF PROCEEDINGS

Certificate No. 68613082 ONTARIO COURT (PROVINCIAL DIVISION) - versus - PAULO RAPOSO TRANSCRIPT OF PROCEEDINGS Certfcate No. 686182 ONTARIO COURT (PROVINCIAL DIVISION) HER MAJESTY THE QUEEN - versus - PAULO RAPOSO TRANSCRIPT OF PROCEEDINGS Heard before The Honourable Mr. Justce D. Cooper at Hamlton, Ontaro on Aprl

More information

Introduction to Statistical Physics (2SP)

Introduction to Statistical Physics (2SP) Introducton to Statstcal Physcs (2SP) Rchard Sear March 5, 20 Contents What s the entropy (aka the uncertanty)? 2. One macroscopc state s the result of many many mcroscopc states.......... 2.2 States wth

More information

Thursday, December 10, 2009 Noon - 1:50 pm Faraday 143

Thursday, December 10, 2009 Noon - 1:50 pm Faraday 143 1. ath 210 Fnte athematcs Chapter 5.2 and 4.3 Annutes ortgages Amortzaton Professor Rchard Blecksmth Dept. of athematcal Scences Northern Illnos Unversty ath 210 Webste: http://math.nu.edu/courses/math210

More information

(6)(2) (-6)(-4) (-4)(6) + (-2)(-3) + (4)(3) + (2)(-3) = -12-24 + 24 + 6 + 12 6 = 0

(6)(2) (-6)(-4) (-4)(6) + (-2)(-3) + (4)(3) + (2)(-3) = -12-24 + 24 + 6 + 12 6 = 0 Chapter 3 Homework Soluton P3.-, 4, 6, 0, 3, 7, P3.3-, 4, 6, P3.4-, 3, 6, 9, P3.5- P3.6-, 4, 9, 4,, 3, 40 ---------------------------------------------------- P 3.- Determne the alues of, 4,, 3, and 6

More information

Effects of Extreme-Low Frequency Electromagnetic Fields on the Weight of the Hg at the Superconducting State.

Effects of Extreme-Low Frequency Electromagnetic Fields on the Weight of the Hg at the Superconducting State. Effects of Etreme-Low Frequency Electromagnetc Felds on the Weght of the at the Superconductng State. Fran De Aquno Maranhao State Unversty, Physcs Department, S.Lus/MA, Brazl. Copyrght 200 by Fran De

More information

Multiple stage amplifiers

Multiple stage amplifiers Multple stage amplfers Ams: Examne a few common 2-transstor amplfers: -- Dfferental amplfers -- Cascode amplfers -- Darlngton pars -- current mrrors Introduce formal methods for exactly analysng multple

More information

Optical Signal-to-Noise Ratio and the Q-Factor in Fiber-Optic Communication Systems

Optical Signal-to-Noise Ratio and the Q-Factor in Fiber-Optic Communication Systems Applcaton ote: FA-9.0. Re.; 04/08 Optcal Sgnal-to-ose Rato and the Q-Factor n Fber-Optc Communcaton Systems Functonal Dagrams Pn Confguratons appear at end of data sheet. Functonal Dagrams contnued at

More information

Module 2. AC to DC Converters. Version 2 EE IIT, Kharagpur 1

Module 2. AC to DC Converters. Version 2 EE IIT, Kharagpur 1 Module 2 AC to DC Converters erson 2 EE IIT, Kharagpur 1 Lesson 1 Sngle Phase Fully Controlled Rectfer erson 2 EE IIT, Kharagpur 2 Operaton and Analyss of sngle phase fully controlled converter. Instructonal

More information

1. Math 210 Finite Mathematics

1. Math 210 Finite Mathematics 1. ath 210 Fnte athematcs Chapter 5.2 and 5.3 Annutes ortgages Amortzaton Professor Rchard Blecksmth Dept. of athematcal Scences Northern Illnos Unversty ath 210 Webste: http://math.nu.edu/courses/math210

More information

Risk-based Fatigue Estimate of Deep Water Risers -- Course Project for EM388F: Fracture Mechanics, Spring 2008

Risk-based Fatigue Estimate of Deep Water Risers -- Course Project for EM388F: Fracture Mechanics, Spring 2008 Rsk-based Fatgue Estmate of Deep Water Rsers -- Course Project for EM388F: Fracture Mechancs, Sprng 2008 Chen Sh Department of Cvl, Archtectural, and Envronmental Engneerng The Unversty of Texas at Austn

More information

SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW.

SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. Lucía Isabel García Cebrán Departamento de Economía y Dreccón de Empresas Unversdad de Zaragoza Gran Vía, 2 50.005 Zaragoza (Span) Phone: 976-76-10-00

More information

Peak Inverse Voltage

Peak Inverse Voltage 9/13/2005 Peak Inerse Voltage.doc 1/6 Peak Inerse Voltage Q: I m so confused! The brdge rectfer and the fullwae rectfer both prode full-wae rectfcaton. Yet, the brdge rectfer use 4 juncton dodes, whereas

More information

Face Verification Problem. Face Recognition Problem. Application: Access Control. Biometric Authentication. Face Verification (1:1 matching)

Face Verification Problem. Face Recognition Problem. Application: Access Control. Biometric Authentication. Face Verification (1:1 matching) Face Recognton Problem Face Verfcaton Problem Face Verfcaton (1:1 matchng) Querymage face query Face Recognton (1:N matchng) database Applcaton: Access Control www.vsage.com www.vsoncs.com Bometrc Authentcaton

More information

The Full-Wave Rectifier

The Full-Wave Rectifier 9/3/2005 The Full Wae ectfer.doc /0 The Full-Wae ectfer Consder the followng juncton dode crcut: s (t) Power Lne s (t) 2 Note that we are usng a transformer n ths crcut. The job of ths transformer s to

More information

Level Annuities with Payments Less Frequent than Each Interest Period

Level Annuities with Payments Less Frequent than Each Interest Period Level Annutes wth Payments Less Frequent than Each Interest Perod 1 Annuty-mmedate 2 Annuty-due Level Annutes wth Payments Less Frequent than Each Interest Perod 1 Annuty-mmedate 2 Annuty-due Symoblc approach

More information

Project Networks With Mixed-Time Constraints

Project Networks With Mixed-Time Constraints Project Networs Wth Mxed-Tme Constrants L Caccetta and B Wattananon Western Australan Centre of Excellence n Industral Optmsaton (WACEIO) Curtn Unversty of Technology GPO Box U1987 Perth Western Australa

More information

Conversion between the vector and raster data structures using Fuzzy Geographical Entities

Conversion between the vector and raster data structures using Fuzzy Geographical Entities Converson between the vector and raster data structures usng Fuzzy Geographcal Enttes Cdála Fonte Department of Mathematcs Faculty of Scences and Technology Unversty of Combra, Apartado 38, 3 454 Combra,

More information

An Evaluation of the Extended Logistic, Simple Logistic, and Gompertz Models for Forecasting Short Lifecycle Products and Services

An Evaluation of the Extended Logistic, Simple Logistic, and Gompertz Models for Forecasting Short Lifecycle Products and Services An Evaluaton of the Extended Logstc, Smple Logstc, and Gompertz Models for Forecastng Short Lfecycle Products and Servces Charles V. Trappey a,1, Hsn-yng Wu b a Professor (Management Scence), Natonal Chao

More information