Simulation of Spacecraft Attitude and Orbit Dynamics
|
|
|
- Liliana Wiggins
- 10 years ago
- Views:
Transcription
1 Smulton o Spcect Atttude nd Obt Dynmcs Ps Rhmäk, Jen-Pete Ylén Contol Engneeng Lbotoy Helsnk Unvesty o Technology PL-, TKK E-ml: ps.hmk@tkk., pete.ylen@tkk. KEYWORDS Smulton Model, Stellte, FDIR, Qutenon ABSTRACT In ths ppe, the smulton model o stellte tttude nd obt dynmcs s dscussed. The stellte tttude model hs been epesented n tem o qutenon nd odny deentl equton s used to descbe the stellte obtl moton. The deent ctutos nd sensos hve been modeled wth sutble ults nd lues. The smulton model enbles us to consde the stellte moton unde deent envonmentl petubtons (o exmple eodynmc dg, extenl celestl body etc.) nd lue n ctutos nd sensos. The smulton model s utlzed n the development o tttude nd obt contol lgothms o ult detecton, solton nd ecovey (FDIR) technologes. Smulton esults e lso gven. INTRODUCTION Dung the lst decdes modelng, smulton, nd wde computtonl scence nd engneeng hve become moe nd moe mpotnt tools n the esech nd development pojects. The desgn phse hs to be educed n tme nd cost when the use o new des nd tools becomes possble. Ths s lso the tend n spce pplcton n whch the el tests e not possble o t lest they e expensve. New demnds on the eospce nd contol engneeng hve become up nd they hve to be ble to nswe to equements. Spcect smultos o smultos n genel, e sotwe tools tht cn be used by eseches, engnees, students o eveybody to nlyze nd ssess system opetons, behvos, nd to nswe to the questons egdng phenomenon o poduct. The smultons e essentl tools n the msson nd spcect contol desgn. Fo exmple, the scentc mssons e unque nd the nstumentton o spcect s desgned only o ths specc msson. Thee e not ny edy-to-use pltoms tht cn be used. Hence, t s not possble to vey the opeton o contol lgothms nd stteges n el pocess but the smulton envonments cn be used. Thee e plenty o compnes tht oe the smulton sevces to the esech nsttutes nd spce compnes. MODEL STRUCTURE AND MATHEMATICS Model Stuctue The spcect smulton model s ognzed lke ny ctul contol loops (See Fgues.). The nteces o the components e dened nd modeled n such wy tht the smulton model would be s modul s possble. Modctons to the smulton model e esy to do nd one pt o the model cn be esly eplced wth nothe. The model s ntlzed nd contolled om the coodnton level. Ths mens tht the model pmetes nd possble ults nd lues n the FDIR smulton cse e dened. Fgues. Spcect smulton model stuctue. Coodnte Systems Thee deent coodnte systems e dened n the smulto:. Inetl Coodnte System (ICS),. Obt Coodnte System (OCS), nd 3. Body Coodnte System (BCS). The netl coodnte system s usully dened such tht the cente o mss o the Eth (cm) cts s ogn nd the decton o the xes e xed to the sol system. Ths knd o coodnte system s not exctly netl but t s enough o ll engneeng puposes (Sd 997). The Z-xs o the ICS s the otton xs o the Eth n postve decton nd the X-Y plne s the equtol plne o the Eth, whch s pependcul to the Eth s otton xs. The venl equnox vecto ϒ s selected to be the X-xs o the ICS. Fnlly, the Y-xs
2 hs been chosen n such wy tht the ICS s ghthnded othogonl coodnte system. Obt coodnte system s lso ght-hnded othogonl coodnte system wth ogn n the cente o the stellte mss. The Z-xs s pontng towds the cente o the Eth; X-xs to the decton o stellte pependcul to the Z-xs, nd Y-xs completes the coodnte system such tht t s ght-hnded nd othogonl. The thd coodnte system, whch hs been xed to the movng nd ottng spcect, denes stellte oentton. Rotton The tttude tnsomton n spce cn be executed by usng vous deent spects. In the smulton model, the qutenon technque s used. The mn etue o qutenons s tht they povde convenent poduct ule o successve ottons nd they hve smple om o knemtcs (Wetz 978, Ws newsk 996). The bsc denton o the qutenon s consequence o the popety o the decton cosne mtx A tht t hs t lest one egenvlue o unty. Ths mens tht thee s n egenvecto e (Eule xs) tht s unchnged n evey otton. The qutenon s dened s vecto () whee q R,, j nd k stsy the Hmlton s ule () nd whee the length o the qutenon s unty. (Sd 997) q = q + q+ q j+ q k () 4 3 = j = k = jk = j = j = k jk = kj = k = k = j () When the Eule xs e o the otton s known the connecton between qutenon nd the otton Eule xs s q = esn q = esn q3 = e3sn q4 = cos whee e s component o Eule xs nd α s the mgntude o the otton. The nl combned otton o two successve ottons cn be peomed s mtx-vecto multplcton (3) whee q nd q e the ndvdul ottons. q q q q q ' ' ' ' 4 3 ' ' ' ' q q3 q4 q q ' ' ' ' q q q q4 q 3 3 ' ' ' ' q q q q3 q4 4 q'' = qq ' = (3) SIMULATION MODEL The smulton model s elzed n the MATLAB/ SIMULINK-envonment. Obt Model The moton o celestl body s bsed on the qute elementy pncples o celestl mechncs. In the 7 th centuy, J. Keple povded thee bsc empcl lws tht descbe the moton o plnet n unpetubed plnety obt. The obtl dynmcs o stellte s extensvely explned n mny books, o exmple (Sd 997) nd (Wetz 978). I we consde system o two ptcles P nd P o msses m nd m nd pply Newton s second lw nd the lw o gvty to the two-body system, we cn get the undmentl equton (4) o the moton o the twobody system whee the symbol µ = G(m +m ) nd G s the unvesl constnt o gvtton. Ths equton descbes the moton o the ptcle P eltve to the second mss P. µ + = (4) 3 In genel, ptcle P moves n oce eld F, the momentum o the oce F bout ogn O s M= F whee s the poston vecto o the ptcle P. The ngul momentum bout ogn s h=m( v)= p whee p s the lne momentum o the ptcle. Thus, the tme te o the ngul momentum h s equl to the moment o the oce F. dh d = ( mv) = + F = M () dt dt The equton () sttes the undmentl ct tht the momentum ctng on ptcle s equl to the tme te o the chnge o ts ngul momentum. In spce scence t s common to descbe the stellte obt by ve numbes, known s obtl elements o clsscl obtl elements (COE). A sxth element s dded to detemne the locton o the stellte n ts obt (Wetz 978 nd Sd 997). The clsscl obtl
3 elements hve been descbed n the Tble. Becuse these elements e pooly dened e nd/o s equl to zeo, so-clled equnoctl obtl elements (EOE) hve been dened n tems o the clsscl obtl elements. The equnoctl obtl elements hve been dened n Tble. Tble. The clsscl obtl elements. (Sd 997) Symbol e Ω ω M the sem mjo xs the eccentcty the nclnton the ght scenson o the scendng node the gument o pegee the men nomly the devtve o clsscl obtl elements when the petubng oce s consevtve o non-consevtve. Knowng the ntl condton o COE the Guss equtons cn be ntegted to clculte the evoluton o the elements. Guss equton s epesented n equton (7), whee s the ngle between stellte locton vecto nd the vecto pontng towds pegee (See Fgues 3.), p = (-e ), n = sqt(µ/ 3 ), = p/(+e cos()), nd, nd z e the components o the petubng oce long the dus vecto decton, the tnsvese obt decton nd the decton o the noml to the obt plne, espectvely. To vod the sngulty due to the pooly dened pmetes, the Guss equtons cn be ewtten n the tems o the equnoctl elements s n (8), whee b= sqt(-p -P ), h=nb, p/=+ P sn(l)+p cos(l), L=ω+Ω+, nd K=ω+Ω+E. (We nd Rothmy, C.M. ) Fgues. The dentons o the elements. Tble. The dentons o the equnoctl obtl elements (EOE). (We nd Rothmy, C.M. ) EOE P esn( Ω+ ω) P ecos( Ω+ ω) Q tn sn( Ω) Q tn cos( Ω) l Ω+ ω + M In Keplen obt the devtve o the st ve obtl elements e equl to zeo. I the stellte obtl elements e known the stellte locton nd the velocty vecto v cn be clculted, nd vse ves. Algothms to do ths cn be ound n ny textbook concenng obtl dynmcs, o exmple (Sd 997), (Wetz 978). In the genel cse, n whch ny knd o petubng oce cn exst, the equton o obtl moton s µ + = 3 p wth ntl condton nd whee p s the petubng oce pe unt mss. Due to the petubng cceleton the obtl elements e not constnts. Hence, so-clled Guss om o Lgnge s plnety equtons descbes Fgues 3. The spcect obt nd uxly ccle. Atttude Model Dynmcs Fom equton () we get tht the toque ctng on the stellte body s equl to the devtve o the ngul momentum o the spcect n the netl coodnte system. Hence, n the ottng body coodnte system. T= hi = h+ h I momentum exchnge devces e used n the contol, the ngul momentum vecto h = h B +h w whee h B s the ngul momentum o stellte gd body nd h w s the ngul momentum o the momentum exchnge devces. Hence, the tme te o ngul velocty o the stellte body s lke n equton (6). = ( Is ) I s + T h w ( Is) hw (6) Knemtcs The spcect tttude hs been modeled s qutenon epesentton q=(q, q, q 3, q 4 ). Hence, the equton (9), whee ω s the stellte ngul velocty bout stellte body xs, gves the devtve o qutenon vecto.
4 = esn + + ecos µ p ( ) ( ( ) ) ( ω + ) sn() ( ω + ) cos µ psn() ( ) ( ) ( ) p e + cos e = sn( ) + cos( ) + µ ecos + z cos( ω ) + = µ p Ω= sn z sn ω = z µ p p cos + sn e µ p e M n n ne p = + cos( ) + sn( ) p = ( Psn ( L) Pcos( L) ) + h p p P = cos( L) + P+ + sn ( L) h ( cos sn) P Q L Q L z p p P = sn ( L) + P + + cos( L) h ( cos sn ) + P Q L Q L z Q = ( + Q + Q) sn( L) z h Q = ( + Q + Q) cos( L) z h p b l = n Psn ( L) Pcos( L) h b p + + ( Pcos( L) Psn ( L) ) + b ( cos sn ) + Q L Q L z q ω3 ω ωq q d ω3 ω ω q = dt q3 ω ω ω3 q3 q4 ω ω ω3 q4 (7) (8) (9) Tt = t F t () The de o ecton wheels (o momentum exchnge devces) s to tnse the ngul momentum o the whole system between deent pts o the spcect wthout chngng ts ovell ntenl ngul momentum. The cheved toque level s o the ode o. Nm. (Sd 997) The ecton-wheel s modeled s equton (). w = Tdem hw = Iww µ () In mgnetotoque, the contol toque T mg s geneted by n ntecton o the Eth s geomgnetc eld B(t) wth the mgnetc dpole momentum m(t) (See equtons () nd (3)) whee n col s the numbe o col, col (t) s the mgnetotoque cuent, A col loop e, nd ˆn s the unt noml vecto to the plne o the loop. Sensos Tmg () t = m() t B () t () m() t = n () t A n ˆ (3) col col col In the smulton model the modeled sensos e: cose Eth nd Sun Senso (CESS), st tcke, mgnetomete, gyo, nd GPS. The CESS s modeled s component tht gves the decton o Sun nd Eth n the body coodnte system. The st tcke s modeled s component tht gves the stellte tttude contmnted wth n uncetnty tht depends on the stellte ngul speed. Mgnetomete s modeled s component tht gves the mgntude nd decton o the Eth s mgnetc eld. WMM mgnetc model s used n the smulto. Actutos The ctutos e used to poduce the contol toques nd oces o the stellte tttude contol. The modeled ctutos e: thuste, ecton-wheels, nd mgnetotoque. The thuste hs been modeled s thust oce vecto F t ectng the stellte n poston t. Hence, the toque bout the cente o the mss o the spcect s the coss poduct between the poston nd the oce vectos (Equton ()). A gyoscope s modeled s n nstument tht mesues the ngul speed o the spcect. The ctul ngul speed s contmnted wth eltvely smll Gussn ndom uncetnty. A GPS s modeled s n nstument tht gves the stellte locton n the netl Eth centeed coodnte system. Fults One o the mn ms o the spcect smulton model s tht t cn be used n the FDIR-smulton. Hence, the ults nd lues hve to be tken nto ccount ledy n the desgn nd modelng phse. The ults cn occu n ny pt o the model nd ny knd o
5 ults e possble. Usully, the ults e ethe ddtve o pmetc but lso totl blckout o component s possble. Pehps, the most pevlent ult s ce buldng on the suce o ny optcl nstument ncesng the nccucy o ths element. Envonmentl Toques The mn souces o the envonmentl toques e epesented n the Tble 3. Tble 3. The mn envonmentl toques (Wetz 978). Souce Dependence Domnnt Aeodynmc e -α below ~ km Mgnetc / 3 ~ - 3 km Gvty Gdent / 3 ~ - 3 km Sol Rdton Independent Inteplnety spce bove synchonous lttude Mcometeotes ndependent Nomlly neglgble The eodynmc dg s one o the mn envonmentl toques o the spcect n low obt. The eodynmc dg model hs been explned extensvely, o exmple, n the book (Wetz 978). The oce d on the suce elements da s gven by equton (4) whee ˆN s outwd noml o the suce element da, ˆV unt vecto o the tnsltonl velocty, ρ s the densty nd C D s the dg coecent o the suce. In el tems, the dg coecent C D s uncton o the suce stuctue nd the locl ngle o ttchment nd ts vlue s usully between nd. Fo ll pctcl pplctons, the vlue C D = cn be used. (Wetz 978) d ˆ ˆ ˆ eo = CDρV N V V da (4) In the smulton model, the stellte stuctue hs been ppoxmted by collecton o smple geometcl gues. Hence, the totl eodynmc toque s the sum ove the toques ctng on ndvdul pts o the spcect. T = eo = C ρv A Nˆ Vˆ Vˆ D Any nonsymmetcl body n obt s subject to gvttonl toque becuse o the vton n the Eth s gvttonl oce ove the object. Usully n the ltetue, the gvty-gdent s only deved o the unelstc sphecl Eth model. Due to the nonsphecty nd the non-homogenous mss dstbuton o the Eth the el gvttonl eld s gnul. Fo sphecl Eth, the gvttonl oce d ctng on s/c mss element dm locted t poston R s d µ R dm =. 3 R Hence, the toque bout the stellte geometc cente due to oce d, t poston, s ( ' ) dt = d = + d whee ρ s the vecto om the geometc cente to the cm nd om cm to the mss element dm. Assumng tht the cm nd the geometc cente o the s/c le n the sme pont the gvty-gdent s 3µ T = ˆ ˆ R I R gg 3 s s s R s whee R ˆ s s unt vecto long R s nd I s s the spcect netl mtx. (Wetz 978) A SIMULATION CASE In ths secton, some smulton esults obtned by the bove-descbed smulton model e pesented. The smulton cse s smple nd nced. The obt o the smulton cse s ccul wth n lttude o 4 km nd nclnton 87. The moments o net o the stellte e I xx =36, I yy =7, I zz =6, nd I xy = I xy = I xz = I yz = kgm. The m s tht the tttude contol system shll ensue thee-xs stblzton o the stellte. The stellte tttude s mesued by GPS senso nd only thee ecton wheels e used n the contol. The ecton wheels e mounted othogonlly such tht the otton xes e long X, Y nd Z-xs o the stellte body. Thee PID-contolles e used to clculte the contol toques. The smulton esults hve been epesented n Fgues 4-8. Roll ngle, [deg] Yw ngle, [deg] Ptch ngle, [deg] Tme, [s] Fgues 4. Atttude ngles.
6 ω x x q q q 3 q 4 ω y ω z e x x x Tme, [s] Fgues. The stellte ngul tes ω Ω M - Tme, [s] Fgues 6. The clsscl obtl elements n smulton. CONCLUSION The stellte tttude nd obt smulton model wth the most common ctutos nd sensos hve been ntoduced n ths ppe. The smulton model cn be utlzed both n the contol lgothm desgns nd n the development o FDIR methods. The smulton models hve been mplemented n the MATLAB/SIMULINK envonment. 3 q Tme, [s] REFERENCES Fgues 8. The tttude qutenons. Nsz, B.J.. Clsscl Element Feedbck Contol o Spcect Obt Mneuves Thess, Mste o Scence. Vgnn Polytechnc Insttute nd Stte Unvesty, Aeospce Engneeng. 9 p. Sd, M.J Spcect Dynmcs & Contol A Pctcl Engneeng Appoch Cmbdge Unvesty Pess. 49 p. ISBN We, B. Rothmy, C.M.. Integted Obt, Atttude, nd Stuctul Contol Systems Desgn o Spce Sol Powe Stelltes NASA/TM--84. [.3.] -tm84.pd Wetz, J.R Spcect Atttude Detemnton nd Contol D. Redel Publshng Compny, Dodecht, Hollnd.88 p. ISBN Ws newsk, R Stellte Atttude Contol Usng Only Electomgnetc Actuton Ph. D. Thess. Denmk, Albog Unvesty, Deptment o Contol Engneeng. 7 p. AUTHOR BIBLIOGRAPHIES PASI RIIHIMÄKI ws bon n Ähtä, Fnlnd nd went to Helsnk Unvesty o Technology, whee he eceved mste s degee n utomton nd system scence. Nowdys, he s postgdute student n the Contol Engneeng Lbotoy n Helsnk Unvesty o Technology. ω w ω ω ω 3 JEAN-PETER YLÉN ws bon n Helsnk, Fnlnd nd went to Helsnk Unvesty o Technology, whee he eceved mste s degee n chemcl engneeng nd docto s degee n utomton nd system scence. Tme, [s] Fgues 7. The ngul tes o ecton wheels.
Orbits and Kepler s Laws
Obits nd Keple s Lws This web pge intoduces some of the bsic ides of obitl dynmics. It stts by descibing the bsic foce due to gvity, then consides the ntue nd shpe of obits. The next section consides how
16. Mean Square Estimation
6 Me Sque stmto Gve some fomto tht s elted to uow qutty of teest the poblem s to obt good estmte fo the uow tems of the obseved dt Suppose epeset sequece of dom vbles bout whom oe set of obsevtos e vlble
Summary: Vectors. This theorem is used to find any points (or position vectors) on a given line (direction vector). Two ways RT can be applied:
Summ: Vectos ) Rtio Theoem (RT) This theoem is used to find n points (o position vectos) on given line (diection vecto). Two ws RT cn e pplied: Cse : If the point lies BETWEEN two known position vectos
Electric Potential. otherwise to move the object from initial point i to final point f
PHY2061 Enched Physcs 2 Lectue Notes Electc Potental Electc Potental Dsclame: These lectue notes ae not meant to eplace the couse textbook. The content may be ncomplete. Some topcs may be unclea. These
N V V L. R a L I. Transformer Equation Notes
Tnsfome Eqution otes This file conts moe etile eivtion of the tnsfome equtions thn the notes o the expeiment 3 wite-up. t will help you to unestn wht ssumptions wee neee while eivg the iel tnsfome equtions
Gravitation. Definition of Weight Revisited. Newton s Law of Universal Gravitation. Newton s Law of Universal Gravitation. Gravitational Field
Defnton of Weght evsted Gavtaton The weght of an object on o above the eath s the gavtatonal foce that the eath exets on the object. The weght always ponts towad the cente of mass of the eath. On o above
Newton-Raphson Method of Solving a Nonlinear Equation Autar Kaw
Newton-Rphson Method o Solvng Nonlner Equton Autr Kw Ater redng ths chpter, you should be ble to:. derve the Newton-Rphson method ormul,. develop the lgorthm o the Newton-Rphson method,. use the Newton-Rphson
Perturbation Theory and Celestial Mechanics
Copyght 004 9 Petubaton Theoy and Celestal Mechancs In ths last chapte we shall sketch some aspects of petubaton theoy and descbe a few of ts applcatons to celestal mechancs. Petubaton theoy s a vey boad
Mathematics. Vectors. hsn.uk.net. Higher. Contents. Vectors 128 HSN23100
hsn.uk.net Higher Mthemtics UNIT 3 OUTCOME 1 Vectors Contents Vectors 18 1 Vectors nd Sclrs 18 Components 18 3 Mgnitude 130 4 Equl Vectors 131 5 Addition nd Subtrction of Vectors 13 6 Multipliction by
Orbit dynamics and kinematics with full quaternions
bt dynamcs and knematcs wth full quatenons Davde Andes and Enco S. Canuto, Membe, IEEE Abstact Full quatenons consttute a compact notaton fo descbng the genec moton of a body n the space. ne of the most
Curvature. (Com S 477/577 Notes) Yan-Bin Jia. Oct 8, 2015
Cuvtue Com S 477/577 Notes Yn-Bin Ji Oct 8, 205 We wnt to find mesue of how cuved cuve is. Since this cuvtue should depend only on the shpe of the cuve, it should not be chnged when the cuve is epmetized.
(Ch. 22.5) 2. What is the magnitude (in pc) of a point charge whose electric field 50 cm away has a magnitude of 2V/m?
Em I Solutions PHY049 Summe 0 (Ch..5). Two smll, positively chged sphees hve combined chge of 50 μc. If ech sphee is epelled fom the othe by n electosttic foce of N when the sphees e.0 m pt, wht is the
WHAT HAPPENS WHEN YOU MIX COMPLEX NUMBERS WITH PRIME NUMBERS?
WHAT HAPPES WHE YOU MIX COMPLEX UMBERS WITH PRIME UMBERS? There s n ol syng, you n t pples n ornges. Mthemtns hte n t; they love to throw pples n ornges nto foo proessor n see wht hppens. Sometmes they
(1) continuity equation: 0. momentum equation: u v g (2) u x. 1 a
Comment on The effect of vible viscosity on mied convection het tnsfe long veticl moving sufce by M. Ali [Intentionl Jounl of Theml Sciences, 006, Vol. 45, pp. 60-69] Asteios Pntoktos Associte Pofesso
9.3. The Scalar Product. Introduction. Prerequisites. Learning Outcomes
The Sclr Product 9.3 Introduction There re two kinds of multipliction involving vectors. The first is known s the sclr product or dot product. This is so-clled becuse when the sclr product of two vectors
2.016 Hydrodynamics Prof. A.H. Techet
.016 Hydodynmics Reding #5.016 Hydodynmics Po. A.H. Techet Fluid Foces on Bodies 1. Stedy Flow In ode to design oshoe stuctues, suce vessels nd undewte vehicles, n undestnding o the bsic luid oces cting
Random Variables and Distribution Functions
Topic 7 Rndom Vibles nd Distibution Functions 7.1 Intoduction Fom the univese of possible infomtion, we sk question. To ddess this question, we might collect quntittive dt nd ognize it, fo emple, using
Vectors 2. 1. Recap of vectors
Vectors 2. Recp of vectors Vectors re directed line segments - they cn be represented in component form or by direction nd mgnitude. We cn use trigonometry nd Pythgors theorem to switch between the forms
MATH 150 HOMEWORK 4 SOLUTIONS
MATH 150 HOMEWORK 4 SOLUTIONS Section 1.8 Show tht the product of two of the numbers 65 1000 8 2001 + 3 177, 79 1212 9 2399 + 2 2001, nd 24 4493 5 8192 + 7 1777 is nonnegtive. Is your proof constructive
GFI EventsMnge vs Netikus.net EventSenty GFI Softwe www.gfi.com GFI EventsMnge vs Netikus.net EventSenty GFI EventsMnge EventSenty Who we e Suppot fo MS SQL Seve Suppot fo MSDE / MS SQL Expess Suppot fo
Polynomial Functions. Polynomial functions in one variable can be written in expanded form as ( )
Polynomil Functions Polynomil functions in one vrible cn be written in expnded form s n n 1 n 2 2 f x = x + x + x + + x + x+ n n 1 n 2 2 1 0 Exmples of polynomils in expnded form re nd 3 8 7 4 = 5 4 +
r (1+cos(θ)) sin(θ) C θ 2 r cos θ 2
icles xmple 66: Rounding one ssume we hve cone of ngle θ, nd we ound it off with cuve of dius, how f wy fom the cone does the ound stt? nd wht is the chod length? (1+cos(θ)) sin(θ) θ 2 cos θ 2 xmple 67:
A New replenishment Policy in a Two-echelon Inventory System with Stochastic Demand
A ew eplenshment Polcy n a wo-echelon Inventoy System wth Stochastc Demand Rasoul Haj, Mohammadal Payesh eghab 2, Amand Babol 3,2 Industal Engneeng Dept, Shaf Unvesty of echnology, ehan, Ian ([email protected],
Module 2. Analysis of Statically Indeterminate Structures by the Matrix Force Method. Version 2 CE IIT, Kharagpur
Module Anlysis of Stticlly Indeterminte Structures by the Mtrix Force Method Version CE IIT, Khrgpur esson 9 The Force Method of Anlysis: Bems (Continued) Version CE IIT, Khrgpur Instructionl Objectives
SPECIAL PRODUCTS AND FACTORIZATION
MODULE - Specil Products nd Fctoriztion 4 SPECIAL PRODUCTS AND FACTORIZATION In n erlier lesson you hve lernt multipliction of lgebric epressions, prticulrly polynomils. In the study of lgebr, we come
CURVES ANDRÉ NEVES. that is, the curve α has finite length. v = p q p q. a i.e., the curve of smallest length connecting p to q is a straight line.
CURVES ANDRÉ NEVES 1. Problems (1) (Ex 1 of 1.3 of Do Crmo) Show tht the tngent line to the curve α(t) (3t, 3t 2, 2t 3 ) mkes constnt ngle with the line z x, y. (2) (Ex 6 of 1.3 of Do Crmo) Let α(t) (e
Data Mining for extraction of fuzzy IF-THEN rules using Mamdani and Takagi-Sugeno-Kang FIS
Engneeng Lettes, 5:, EL_5 3 Dt Mnng fo extcton of fuzzy IF-THEN ules usng Mmdn nd Tkg-Sugeno-Kng FIS Jun E. Moeno, Osc Cstllo, Jun R. Csto, Lus G. Mtínez, Ptc Meln Abstct Ths ppe pesents clusteng technques
Vector Geometry for Computer Graphics
Vector Geometry for Computer Grphcs Bo Getz Jnury, 7 Contents Prt I: Bsc Defntons Coordnte Systems... Ponts nd Vectors Mtrces nd Determnnts.. 4 Prt II: Opertons Vector ddton nd sclr multplcton... 5 The
Exam in physics, El-grunder (Electromagnetism), 2014-03-26, kl 9.00-15.00
Umeå Univesitet, Fysik 1 Vitly Bychkov Em in physics, El-gunde (Electomgnetism, 14--6, kl 9.-15. Hjälpmedel: Students my use ny book(s. Mino notes in the books e lso llowed. Students my not use thei lectue
Formulas and Units. Transmission technical calculations Main Formulas. Size designations and units according to the SI-units.
Fomuls nd Units Tnsmission technicl clcultions Min Fomuls Size designtions nd units ccoding to the SI-units Line movement: s v = m/s t s = v t m s = t m v = m/s t P = F v W F = m N Rottion ω = π f d/s
c. Values in statements are broken down by fiscal years; many projects are
Lecture 18: Finncil Mngement (Continued)/Csh Flow CEE 498 Construction Project Mngement L Schedules A. Schedule.of Contrcts Completed See Attchment # 1 ll. 1. Revenues Erned 2. Cost of Revenues 3. Gross
Cypress Creek High School IB Physics SL/AP Physics B 2012 2013 MP2 Test 1 Newton s Laws. Name: SOLUTIONS Date: Period:
Nme: SOLUTIONS Dte: Period: Directions: Solve ny 5 problems. You my ttempt dditionl problems for extr credit. 1. Two blocks re sliding to the right cross horizontl surfce, s the drwing shows. In Cse A
Experiment 6: Friction
Experiment 6: Friction In previous lbs we studied Newton s lws in n idel setting, tht is, one where friction nd ir resistnce were ignored. However, from our everydy experience with motion, we know tht
AREA COVERAGE SIMULATIONS FOR MILLIMETER POINT-TO-MULTIPOINT SYSTEMS USING STATISTICAL MODEL OF BUILDING BLOCKAGE
Radoengneeng Aea Coveage Smulatons fo Mllmete Pont-to-Multpont Systems Usng Buldng Blockage 43 Vol. 11, No. 4, Decembe AREA COVERAGE SIMULATIONS FOR MILLIMETER POINT-TO-MULTIPOINT SYSTEMS USING STATISTICAL
Factoring Polynomials
Fctoring Polynomils Some definitions (not necessrily ll for secondry school mthemtics): A polynomil is the sum of one or more terms, in which ech term consists of product of constnt nd one or more vribles
Week 11 - Inductance
Week - Inductnce November 6, 202 Exercise.: Discussion Questions ) A trnsformer consists bsiclly of two coils in close proximity but not in electricl contct. A current in one coil mgneticlly induces n
Rotating DC Motors Part II
Rotting Motors rt II II.1 Motor Equivlent Circuit The next step in our consiertion of motors is to evelop n equivlent circuit which cn be use to better unerstn motor opertion. The rmtures in rel motors
PCA vs. Varimax rotation
PCA vs. Vamax otaton The goal of the otaton/tansfomaton n PCA s to maxmze the vaance of the new SNP (egensnp), whle mnmzng the vaance aound the egensnp. Theefoe the dffeence between the vaances captued
Math 314, Homework Assignment 1. 1. Prove that two nonvertical lines are perpendicular if and only if the product of their slopes is 1.
Mth 4, Homework Assignment. Prove tht two nonverticl lines re perpendiculr if nd only if the product of their slopes is. Proof. Let l nd l e nonverticl lines in R of slopes m nd m, respectively. Suppose
Operations with Polynomials
38 Chpter P Prerequisites P.4 Opertions with Polynomils Wht you should lern: Write polynomils in stndrd form nd identify the leding coefficients nd degrees of polynomils Add nd subtrct polynomils Multiply
EQUATIONS OF LINES AND PLANES
EQUATIONS OF LINES AND PLANES MATH 195, SECTION 59 (VIPUL NAIK) Corresponding mteril in the ook: Section 12.5. Wht students should definitely get: Prmetric eqution of line given in point-direction nd twopoint
AREA OF A SURFACE OF REVOLUTION
AREA OF A SURFACE OF REVOLUTION h cut r πr h A surfce of revolution is formed when curve is rotted bout line. Such surfce is the lterl boundr of solid of revolution of the tpe discussed in Sections 7.
Lecture 3 Gaussian Probability Distribution
Lecture 3 Gussin Probbility Distribution Introduction l Gussin probbility distribution is perhps the most used distribution in ll of science. u lso clled bell shped curve or norml distribution l Unlike
Intro to Circle Geometry By Raymond Cheong
Into to Cicle Geomety By Rymond Cheong Mny poblems involving cicles cn be solved by constucting ight tingles then using the Pythgoen Theoem. The min chllenge is identifying whee to constuct the ight tingle.
5.2. LINE INTEGRALS 265. Let us quickly review the kind of integrals we have studied so far before we introduce a new one.
5.2. LINE INTEGRALS 265 5.2 Line Integrls 5.2.1 Introduction Let us quickly review the kind of integrls we hve studied so fr before we introduce new one. 1. Definite integrl. Given continuous rel-vlued
SOLUTIONS TO CONCEPTS CHAPTER 5
1. m k S 10m Let, ccelertion, Initil velocity u 0. S ut + 1/ t 10 ½ ( ) 10 5 m/s orce: m 5 10N (ns) 40000. u 40 km/hr 11.11 m/s. 3600 m 000 k ; v 0 ; s 4m v u ccelertion s SOLUIONS O CONCEPS CHPE 5 0 11.11
Bending Stresses for Simple Shapes
-6 Bendng Stesses fo Smple Sapes In bendng, te maxmum stess and amount of deflecton can be calculated n eac of te followng stuatons. Addtonal examples ae avalable n an engneeng andbook. Secton Modulus
Applications to Physics and Engineering
Section 7.5 Applictions to Physics nd Engineering Applictions to Physics nd Engineering Work The term work is used in everydy lnguge to men the totl mount of effort required to perform tsk. In physics
Small Business Networking
Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd business. Introducing technology
Small Business Networking
Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd business. Introducing technology
Treatment Spring Late Summer Fall 0.10 5.56 3.85 0.61 6.97 3.01 1.91 3.01 2.13 2.99 5.33 2.50 1.06 3.53 6.10 Mean = 1.33 Mean = 4.88 Mean = 3.
The nlysis of vrince (ANOVA) Although the t-test is one of the most commonly used sttisticl hypothesis tests, it hs limittions. The mjor limittion is tht the t-test cn be used to compre the mens of only
Lesson 28 Psychrometric Processes
1 Lesson 28 Psychrometrc Processes Verson 1 ME, IIT Khrgpur 1 2 The specfc objectves of ths lecture re to: 1. Introducton to psychrometrc processes nd ther representton (Secton 28.1) 2. Importnt psychrometrc
MODULE 3. 0, y = 0 for all y
Topics: Inner products MOULE 3 The inner product of two vectors: The inner product of two vectors x, y V, denoted by x, y is (in generl) complex vlued function which hs the following four properties: i)
Brillouin Zones. Physics 3P41 Chris Wiebe
Brillouin Zones Physics 3P41 Chris Wiebe Direct spce to reciprocl spce * = 2 i j πδ ij Rel (direct) spce Reciprocl spce Note: The rel spce nd reciprocl spce vectors re not necessrily in the sme direction
Lecture 5. Inner Product
Lecture 5 Inner Product Let us strt with the following problem. Given point P R nd line L R, how cn we find the point on the line closest to P? Answer: Drw line segment from P meeting the line in right
Vector Calculus: Are you ready? Vectors in 2D and 3D Space: Review
Vecto Calculus: Ae you eady? Vectos in D and 3D Space: Review Pupose: Make cetain that you can define, and use in context, vecto tems, concepts and fomulas listed below: Section 7.-7. find the vecto defined
Screentrade Car Insurance Policy Summary
Sceentde C Insunce Policy Summy This is summy of the policy nd does not contin the full tems nd conditions of the cove, which cn be found in the policy booklet nd schedule. It is impotnt tht you ed the
Physics 43 Homework Set 9 Chapter 40 Key
Physics 43 Homework Set 9 Chpter 4 Key. The wve function for n electron tht is confined to x nm is. Find the normliztion constnt. b. Wht is the probbility of finding the electron in. nm-wide region t x
Example 27.1 Draw a Venn diagram to show the relationship between counting numbers, whole numbers, integers, and rational numbers.
2 Rtionl Numbers Integers such s 5 were importnt when solving the eqution x+5 = 0. In similr wy, frctions re importnt for solving equtions like 2x = 1. Wht bout equtions like 2x + 1 = 0? Equtions of this
Design and Modelling of Distributed Industrial Manipulation System with Wireless Operated Moving Manipulation
Tncton on Electcl Enneen, Vol. (05), No. 3 69 Den nd Modelln of Dtbuted Indutl Mnpulton Sytem th Wele Opeted Movn Mnpulton Květolv Beld ) nd Pvel Píš ) ) Dept. of Adptve Sytem, Inttute of Infomton Theoy
15.6. The mean value and the root-mean-square value of a function. Introduction. Prerequisites. Learning Outcomes. Learning Style
The men vlue nd the root-men-squre vlue of function 5.6 Introduction Currents nd voltges often vry with time nd engineers my wish to know the verge vlue of such current or voltge over some prticulr time
PROF. BOYAN KOSTADINOV NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY
MAT 0630 INTERNET RESOURCES, REVIEW OF CONCEPTS AND COMMON MISTAKES PROF. BOYAN KOSTADINOV NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY Contents 1. ACT Compss Prctice Tests 1 2. Common Mistkes 2 3. Distributive
Econ 4721 Money and Banking Problem Set 2 Answer Key
Econ 472 Money nd Bnking Problem Set 2 Answer Key Problem (35 points) Consider n overlpping genertions model in which consumers live for two periods. The number of people born in ech genertion grows in
EN3: Introduction to Engineering. Teach Yourself Vectors. 1. Definition. Problems
EN3: Introducton to Engneerng Tech Yourself Vectors Dvson of Engneerng Brown Unversty. Defnton vector s mthemtcl obect tht hs mgntude nd drecton, nd stsfes the lws of vector ddton. Vectors re used to represent
Math 135 Circles and Completing the Square Examples
Mth 135 Circles nd Completing the Squre Exmples A perfect squre is number such tht = b 2 for some rel number b. Some exmples of perfect squres re 4 = 2 2, 16 = 4 2, 169 = 13 2. We wish to hve method for
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
H2-TS-FUZZY POSITION CONTROL OF PMSM WITH AN AUGMENTED D-AXIS STATOR CURRENT MODEL
ns o XIX Congesso seo e utomátc, C. H-S-FUZZY POSIION CONROL OF PMSM WIH N UGMENED D-XIS SOR CURREN MODEL RYMUNDO C. GRCI,, WLER I. SUEMISU, JOO O. P. PINO Lbotóo e Eetônc e Potênc, COPPE, Unvese Fee e
AAPT UNITED STATES PHYSICS TEAM AIP 2010
2010 F = m Exm 1 AAPT UNITED STATES PHYSICS TEAM AIP 2010 Enti non multiplicnd sunt preter necessittem 2010 F = m Contest 25 QUESTIONS - 75 MINUTES INSTRUCTIONS DO NOT OPEN THIS TEST UNTIL YOU ARE TOLD
Continuous Compounding and Annualization
Continuous Compounding and Annualization Philip A. Viton Januay 11, 2006 Contents 1 Intoduction 1 2 Continuous Compounding 2 3 Pesent Value with Continuous Compounding 4 4 Annualization 5 5 A Special Poblem
Resistive Network Analysis. The Node Voltage Method - 1
esste Network Anlyss he nlyss of n electrcl network conssts of determnng ech of the unknown rnch currents nd node oltges. A numer of methods for network nlyss he een deeloped, sed on Ohm s Lw nd Krchoff
Adaptive Control of a Production and Maintenance System with Unknown Deterioration and Obsolescence Rates
Int J of Mthemtic Sciences nd Appictions, Vo, No 3, Septembe Copyight Mind Rede Pubictions wwwjounshubcom Adptive Conto of Poduction nd Mintennce System with Unknown Deteiotion nd Obsoescence Rtes Fwzy
4a 4ab b 4 2 4 2 5 5 16 40 25. 5.6 10 6 (count number of places from first non-zero digit to
. Simplify: 0 4 ( 8) 0 64 ( 8) 0 ( 8) = (Ode of opeations fom left to ight: Paenthesis, Exponents, Multiplication, Division, Addition Subtaction). Simplify: (a 4) + (a ) (a+) = a 4 + a 0 a = a 7. Evaluate
GFI MilAchive 6 vs H&S Exchnge@PAM GFI Softwe www.gfi.com GFI MilAchive 6 vs H&S Exchnge@PAM GFI MilAchive 6 H&S Exchnge@PAM Who we e Genel fetues Suppots Micosoft Exchnge 2000, 2003 & 2007 Suppots distibuted
Health insurance marketplace What to expect in 2014
Helth insurnce mrketplce Wht to expect in 2014 33096VAEENBVA 06/13 The bsics of the mrketplce As prt of the Affordble Cre Act (ACA or helth cre reform lw), strting in 2014 ALL Americns must hve minimum
Binary Representation of Numbers Autar Kaw
Binry Representtion of Numbers Autr Kw After reding this chpter, you should be ble to: 1. convert bse- rel number to its binry representtion,. convert binry number to n equivlent bse- number. In everydy
How To Network A Smll Business
Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd processes. Introducing technology
Graphs on Logarithmic and Semilogarithmic Paper
0CH_PHClter_TMSETE_ 3//00 :3 PM Pge Grphs on Logrithmic nd Semilogrithmic Pper OBJECTIVES When ou hve completed this chpter, ou should be ble to: Mke grphs on logrithmic nd semilogrithmic pper. Grph empiricl
A Novel Lightweight Algorithm for Secure Network Coding
A Novel Lghtweght Algothm fo Secue Netwok Codng A Novel Lghtweght Algothm fo Secue Netwok Codng State Key Laboatoy of Integated Sevce Netwoks, Xdan Unvesty, X an, Chna, E-mal: {wangxaoxao,wangmeguo}@mal.xdan.edu.cn
Small Business Networking
Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd processes. Introducing technology
Additional File 1 - A model-based circular binary segmentation algorithm for the analysis of array CGH data
1 Addtonal Fle 1 - A model-based ccula bnay segmentaton algothm fo the analyss of aay CGH data Fang-Han Hsu 1, Hung-I H Chen, Mong-Hsun Tsa, Lang-Chuan La 5, Ch-Cheng Huang 1,6, Shh-Hsn Tu 6, Ec Y Chuang*
LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES
LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES DAVID WEBB CONTENTS Liner trnsformtions 2 The representing mtrix of liner trnsformtion 3 3 An ppliction: reflections in the plne 6 4 The lgebr of
REAL TIME MONITORING OF DISTRIBUTION NETWORKS USING INTERNET BASED PMU. Akanksha Eknath Pachpinde
REAL TME MONTORNG OF DSTRBUTON NETWORKS USNG NTERNET BASED PMU by Akanksha Eknath Pachpnde A Thess submtted to the Faculty of the Gaduate School of the Unvesty at Buffalo, State Unvesty of New Yok n patal
GFI MilEssentils & GFI MilSecuity vs Tend Mico ScnMil Suite fo Micosoft Exchnge GFI Softwe www.gfi.com GFI MilEssentils & GFI MilSecuity vs Tend Mico ScnMil Suite fo Micosoft Exchnge Exchnge Seve 2000/2003
Victims Compensation Claim Status of All Pending Claims and Claims Decided Within the Last Three Years
Claim#:021914-174 Initials: J.T. Last4SSN: 6996 DOB: 5/3/1970 Crime Date: 4/30/2013 Status: Claim is currently under review. Decision expected within 7 days Claim#:041715-334 Initials: M.S. Last4SSN: 2957
DlNBVRGH + Sickness Absence Monitoring Report. Executive of the Council. Purpose of report
DlNBVRGH + + THE CITY OF EDINBURGH COUNCIL Sickness Absence Monitoring Report Executive of the Council 8fh My 4 I.I...3 Purpose of report This report quntifies the mount of working time lost s result of
Scalar and Vector Quantities. A scalar is a quantity having only magnitude (and possibly phase). LECTURE 2a: VECTOR ANALYSIS Vector Algebra
Sclr nd Vector Quntities : VECTO NLYSIS Vector lgebr sclr is quntit hving onl mgnitude (nd possibl phse). Emples: voltge, current, chrge, energ, temperture vector is quntit hving direction in ddition to
THE GEOMETRY OF PYRAMIDS
TE GEOMETRY OF PYRAMIDS One of te more interesting solid structures wic s fscinted individuls for tousnds of yers going ll te wy bck to te ncient Egyptins is te pyrmid. It is structure in wic one tkes
A Coverage Gap Filling Algorithm in Hybrid Sensor Network
A Coveage Ga Fllng Algothm n Hybd Senso Netwok Tan L, Yang Mnghua, Yu Chongchong, L Xuanya, Cheng Bn A Coveage Ga Fllng Algothm n Hybd Senso Netwok 1 Tan L, 2 Yang Mnghua, 3 Yu Chongchong, 4 L Xuanya,
Irregular Repeat Accumulate Codes 1
Irregulr epet Accumulte Codes 1 Hu Jn, Amod Khndekr, nd obert McElece Deprtment of Electrcl Engneerng, Clforn Insttute of Technology Psden, CA 9115 USA E-ml: {hu, mod, rjm}@systems.cltech.edu Abstrct:
32. The Tangency Problem of Apollonius.
. The Tngeny olem of Apollonius. Constut ll iles tngent to thee given iles. This eleted polem ws posed y Apollinius of eg (. 60-70 BC), the getest mthemtiin of ntiquity fte Eulid nd Ahimedes. His mjo wok
9 CONTINUOUS DISTRIBUTIONS
9 CONTINUOUS DISTIBUTIONS A rndom vrible whose vlue my fll nywhere in rnge of vlues is continuous rndom vrible nd will be ssocited with some continuous distribution. Continuous distributions re to discrete
Warm-up for Differential Calculus
Summer Assignment Wrm-up for Differentil Clculus Who should complete this pcket? Students who hve completed Functions or Honors Functions nd will be tking Differentil Clculus in the fll of 015. Due Dte:
The Velocity Factor of an Insulated Two-Wire Transmission Line
The Velocity Fctor of n Insulted Two-Wire Trnsmission Line Problem Kirk T. McDonld Joseph Henry Lbortories, Princeton University, Princeton, NJ 08544 Mrch 7, 008 Estimte the velocity fctor F = v/c nd the
19. The Fermat-Euler Prime Number Theorem
19. The Fermt-Euler Prime Number Theorem Every prime number of the form 4n 1 cn be written s sum of two squres in only one wy (side from the order of the summnds). This fmous theorem ws discovered bout
Use Geometry Expressions to create a more complex locus of points. Find evidence for equivalence using Geometry Expressions.
Lerning Objectives Loci nd Conics Lesson 3: The Ellipse Level: Preclculus Time required: 120 minutes In this lesson, students will generlize their knowledge of the circle to the ellipse. The prmetric nd
G.GMD.1 STUDENT NOTES WS #5 1 REGULAR POLYGONS
G.GMD.1 STUDENT NOTES WS #5 1 REGULAR POLYGONS Regul polygon e of inteet to u becue we begin looking t the volume of hexgonl pim o Tethedl nd to do thee type of clcultion we need to be ble to olve fit
NON-CONSTANT SUM RED-AND-BLACK GAMES WITH BET-DEPENDENT WIN PROBABILITY FUNCTION LAURA PONTIGGIA, University of the Sciences in Philadelphia
To appear n Journal o Appled Probablty June 2007 O-COSTAT SUM RED-AD-BLACK GAMES WITH BET-DEPEDET WI PROBABILITY FUCTIO LAURA POTIGGIA, Unversty o the Scences n Phladelpha Abstract In ths paper we nvestgate
