SPEED CONTROL OF INDUCTION MACHINE WITH REDUCTION IN TORQUE RIPPLE USING ROBUST SPACEVECTOR MODULATION DTC SCHEME


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1 International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 7, Issue 2, MarchApril 2016, pp , Article ID: IJARET_07_02_008 Available online at Journal Impact Factor (2016): (Calculated by GISI) ISSN Print: and ISSN Online: IAEME Publication SPEED CONTROL OF INDUCTION MACHINE WITH REDUCTION IN TORQUE RIPPLE USING ROBUST SPACEVECTOR MODULATION DTC SCHEME Yeshoda Harish Kumar M.Tech, Power Electronics, Manipal University Jaipur, India Vishnu Goyal Assistant Professor, EEE Department, Manipal University Jaipur, India ABSTRACT In this paper a novel and simple algorithm for threephase induction motor(im) under Direct Torque Control (DTC) scheme using Classic DTC switching table for dynamic torque ripple reduction and spacevector modulation scheme for steady state torque and flux control is proposed. The proposed scheme having the advantages of low torque ripples as well as constant switching frequency. Simulation results are given to prove the ability of the proposed method obtaining good speed control bandwidth while overcoming classic DTC and DTCSVM drawbacks. Key words: Direct Torque Control, Induction Motor, SpaceVector Modulation, Torque Ripple Minimization. Cite this Article: Yeshoda Harish Kumar and Vishnu Goyal. Speed Control of Induction Machine with Reduction In Torque Ripple Using Robust Space Vector Modulation DTC Scheme. International Journal of Advanced Research in Engineering and Technology, 7(2), 2016, pp INTRODUCTION The basic concept of DTC of AC motor drives is to control both stator flux linkage and the electromagnetic torque of the machine simultaneously. Since a DTCbased drive system select the inverter switching states using switching table, neither current controllers nor pulsewidth modulation (PWM) modulator is required, as shown in 78
2 Speed Control of Induction Machine with Reduction In Torque Ripple Using Robust Space Vector Modulation DTC Scheme Figure.1, thereby introducing fast torque dynamics response in comparison with the field oriented vector control technique. However, this conventional DTC approach has some disadvantages such as; high torque ripple and variable switching frequency, which is varying with speed, load torque and the selected hysteresis bands. On the other hand to reduce the torque ripple; the hysteresis torque and flux controller bands must be reduced to match the required torque performance, which requires reduction of the system sampling time and it is necessary to use a very fast processing controller. Although the system sampling frequency can be increased in the conventional DTC the inverter switching frequency is still low, approximately less than one third of the sampling frequency [1, 2]. The inverter switching frequency can be increased using a dithering signal, by adding a limited amplitude high frequency signal to the torque and flux error signals [3]. Although the switching frequency is increased it is still variable for small error bands. Other research concerns with these disadvantages using multilevel inverter, there are more voltage space vectors available to control the flux and torque [4]. However, these approaches require more power devices, which increase the cost of the system and make it more complex. In [5, 6] discrete space vector modulation DTC approach is used to reduce the torque ripple. However, there is a complexity of selecting the additional hysteresis controllers. On the other hand, space vector modulation (SVM) modulator is incorporated with direct torque control for Induction Motor drives to provide a constant inverter switching frequency and low torque ripple, a predictive PI controller is used to calculate the command voltage vector [7]. In this paper, a new and simple DTC algorithm with fixed switching frequency for Induction Motor is proposed to reduce the torque ripples. The welldeveloped SVM technique is applied to inverter control in the proposed DTCbased Induction Motor drive system, thereby dramatically reducing the torque ripples. The simulation results are carried out by modelling the drive systems using a Matlab/Simulink. 2. CLASSICAL DIRECT TORQUE CONTROL (DTC) OPERATION. The block diagram of classical DTC proposed by I. Takahashi and T. Nogouchi is presented in Figure.1. Figure 1 Block Diagram of ClassicalDTC 79
3 Yeshoda Harish Kumar and Vishnu Goyal The stator flux amplitude and the electromagnetic torque are the reference signals which are compared with the estimated values respectively. The flux and torque errors are delivered to the hysteresis controllers. The digitized output variables and the stator flux position sector selects the appropriate voltage vector from the switching table. Thus, the selection table generates pulses to control the power switches in the inverter. The stator flux vector and the torque produced by the motor can be estimated respectively. These equations only require the knowledge of the previously applied voltage vector Vs, measured stator current Is, stator resistance Rs, and the motor poles number p [5]. The components of stator flux are given by: The magnitude of the stator flux can be estimated by: (1) (2) (3) The flux vector zone can be obtained using the stator flux components. The electromagnetic torque can be calculated by: For the flux is defined twolevel hysteresis controller and for the torque threelevel hysteresis controller is used. The output signals are defined as: (4) Where is the total hysteresis bandwidth of the controller. The actual stator flux is constrained within the hysteresis band and tracks the command flux. The torque control loop has three levels of digital output represented by the following conditions. The above considerations allow construction of the selection table as presented in below Table1. Table I Switching Scheme of BasicDTC S(1) S(2) S(3) S(4) S(5) S(6) 80
4 Speed Control of Induction Machine with Reduction In Torque Ripple Using Robust Space Vector Modulation DTC Scheme The classical DTC method can be characterized as follows: Advantages: simple structure, no coordinate transformation, no separate voltage modulation block, no current control loops, very good flux and torque dynamic performance, Disadvantages: Variable switching frequency, problems during starting and low speed operation, high torque ripples, flux and current distortion caused by stator flux vector sector position change and high sampling frequency is required for digital implementation. 3. DTCSVM SCHEME In the DTCSVM system, the same flux and torque estimator which is used for the conventional DTC is still used in the proposed DTC scheme as shown in Figure.2. Instead of the switching table and hysteresis controllers, an optimal voltage vector calculator is used to calculate the reference voltage vector as a function of the torque and flux errors. The applied voltage vectors and their duration times are selected and calculated using the SVM modulator. From the block diagram of the DTCSVM shown in Fig.4, it is seen that this scheme have the most important advantage over conventional DTC, such as at steady state time of the torque response the SVM is applied to insure a ripple reduction occurring at the steady state torque response[7]. Figure 2 Block Diagram of DTCSVM Scheme The procedure for implementing a twolevel space vector PWM can be summarized as follows: 1. Calculate the angle and reference voltage vector based on the input voltage components. 2. Find the sector in which lies and the adjacent space vectors of Vk and Vk + 1 based on the sector angle. 3. Find the time intervals, and the angle. 81
5 Yeshoda Harish Kumar and Vishnu Goyal 3.1. Voltage Vector Calculation In this modulation technique the three phase quantities can be transformed to their equivalent 2phase quantity in stationary frame. A reference voltage vector V that rotates with angular speed in the plane represents three sinusoidal waveforms with angular frequency in the abc coordinate system. The magnitude of reference vector used for modulating inverter output is, The phase angle is evaluated from, 3.2. Sector Determination It is necessary to know in which sector the reference output lies in order to determine the switching time and sequence. The identification of the sector where the reference vector is located is straightforward. The phase voltages correspond to eight switching states: six nonzero vectors and two zero vectors at the origin. Depending on the reference voltages and, the angle of the reference vector can be used to determine the sector as per Table.2. Table II Voltage Vector Sector Determination Sector Angle (Degrees) Time Durations T0, T1, T2 Times T1 and T2 denote the required ontime of the activestate vectors during each sample period, and k is the sector number denoting the reference location. The calculated times T1 and T2 are applied to the switches to produce space vector PWM switching patterns based on each sector. The switching time is arranged according to the first half of the switching period while the other half is a reflection forming a symmetrical pattern. T0 denote time of the null state vectors. Assuming that the reference voltage and the voltage vectors and are constant during each pulsewidth modulation period Ts and splitting the reference voltage into its real and imaginary components (V or and V) gives the following result: (5) (6) (7) 82
6 Speed Control of Induction Machine with Reduction In Torque Ripple Using Robust Space Vector Modulation DTC Scheme The inverse matrix of above is used to calculate as (8) 4. PROPOSED DTC BY MEANS OF BOTH SWITHCHING SCHEME AND SVM From the block diagram of the proposed DTC shown in Figure.3, it is seen that the proposed scheme have the most important advantage of the conventional DTC, such as fast torque dynamics, by applying the conventional DTC during the step change in the torque command; then at steady state time of the torque response the SVM is applied to insure a ripple reduction occurring at the steady state torque response. The proposed DTC scheme can be further explained as follows; at starting up or at the instance of the load change, almost when the torque error is large, the switching state selector selects the switching states of the conventional DTC switching table to get a fast torque response at starting and at a step change in the load torque command. When the torque error is within the hysteresis band limits, the switching state selector, select the switching states generated by the SVM which guaranty that the switching frequency is fixed and the ripples at the steady state torque response are reduced. Figure.3 Block Diagram of ProposedDTC Scheme 83
7 Yeshoda Harish Kumar and Vishnu Goyal 5. SIMULATION RESULTS The system performance under the proposed DTC strategy is evaluated, and the results are compared with the results obtained by the conventional DTC and DTC SVM schemes. MATLAB/SIMULINK models were developed to examine the conventional and the proposed DTC algorithms. In simulation, the sampling time is 20 µs for both the conventional and proposed DTC schemes and the switching time for the proposed DTC is 100 µs. The switching table used in [1] is employed for the conventional DTC. The switching delays and the forward drop of the power switches, the dead time of the inverter and the nonideal effects of the Induction motor are neglected in the models. The torque dynamics performances of the conventional and proposed DTC schemes at 700 rpm are compared as shown in Figure.5 under the same operation conditions. It is seen that the torque ripple is reduced by more than 50 % at noload and load conditions in the proposed DTC. The speed and torque response for the classical DTC algorithm is given in Fig. 4 (b) and the Fig. 4 (c) show the torque response for the DTC algorithm with DTC SVM Scheme, and finally the proposed DTC algorithm torque response is given in Fig. 4 (d). It can be seen from the figure that the proposed DTC has achieved a fast speed response than that for the conventional DTC. The speed dynamic response and their corresponding torque response for three algorithms more declaration is shown in Figure.5 and Figure.7. It is seen that the torque ripple reduction is still valid at low and high speed ranges. A speed reverse dynamics is carried out at two different speed references, +700 rpm and 700 rpm, to indicate the validity of the controller operation at both speed directions. The simulation results for the speed reversing dynamics are shown in Figure.7. Also a comparative simulation results between the proposed DTC algorithm and other algorithms are shown in Figure.5 and Figure.6, where a reference speed of 700 rpm is applied to the motor then, a load torque of 7 Nm is applied at t = 0.75 sec. 4(a) Reference Speed and Load Torque 84
8 Speed Control of Induction Machine with Reduction In Torque Ripple Using Robust Space Vector Modulation DTC Scheme 4(b) ClassicalDTC Scheme 4(c) DTCSVM Scheme 4(d) Proposed DTC Scheme Figure.4 Speed and Torque Responses for Three Different DTC Schemes 85
9 Yeshoda Harish Kumar and Vishnu Goyal 5(a) ClassicalDTC scheme 5(b) DTCSVM Scheme 5(c) ProposedDTC Scheme Figure 5 SpeedTorque Dynamics with Change in Speed (0 to 700 rpm) 6(a) ClassicalDTC Scheme 86
10 Speed Control of Induction Machine with Reduction In Torque Ripple Using Robust Space Vector Modulation DTC Scheme 6(b) DTCSVM Scheme 6(c) ProposedDTC Scheme Figure 6 SpeedTorque Response with Applied Load (7Nm) 7(a) ClassicDTC Scheme 87
11 Yeshoda Harish Kumar and Vishnu Goyal 7(b) DTCSVM Scheme 7(c) ProposedDTC Scheme Figure 7 SpeedTorque Dynamics with Speed Reversal (0 to 700rpm) The StatorFlux trajectory of ClassicDTC scheme is shown in Figure.8 (a) and Figure.8 (b) shows the StatorFlux trajectory of DTCSVM scheme, finally Stator Flux trajectory of proposeddtc scheme is shown in Figure.8 (c). It clearly shows that the ProposedDTC has better Flux control over Classical and SVM DTC schemes. 8(a) ClassicDTC 8(b) DTCSVM 8 (c) ProposedDTC Figure 8 StatorFlux Circular Trajectory of Three DTC Schemes 88
12 Speed Control of Induction Machine with Reduction In Torque Ripple Using Robust Space Vector Modulation DTC Scheme The StatorCurrent characteristic with change in load (7 Nm to 7Nm) is shown in Figure.9. It clearly shows that the ProposedDTC scheme has fast and better stator current response due to change in load. Figure 9 Stator Current Characteristics with Load Reversal (7Nm to7nm) 6. CONCLUSION In this paper a new DTC algorithm for the 3Phase Induction Machine has been developed. The effectiveness of the proposed DTC algorithm in reducing the torque ripples was verified by computer simulations on a 3phase Induction Motor rated at 4 kw. The presented results have demonstrated that the problems which were associated with conventional DTC schemes such as, high torque ripples and variable switching frequency have been completely avoided. It is also interesting that the proposed torque controller has been shown to be robust to control the machine flux, allowing satisfactory overall performance of the machine under study. The developed algorithm also offers the prospect for optimizing the machine performance in a manner similar to conventional vector controllers with better toque dynamics. 89
13 Yeshoda Harish Kumar and Vishnu Goyal APPENDIX Parameters of the used Induction Machine are given in below Table.3. REFERENCES Table III Induction Motor Parameters Nominal Power 4000W Frequency 50Hz Number of Pole Pairs 2 Stator Resistance 1.405ohm Rotor Resistance 1.395ohm Stator Inductance 5.839mH Rotor Inductance 5.839mH Mutual Inductance 172.2mH [1] L.Zhong, and M.F.Rahman, "Analysis of direct torque control in permanent magnet synchronous motor drives," IEEE Trans. Power Elec., Vol. 12, No. 3, May [2] S. Dan, F.Weizhong, and H.Yikang, "Study on the direct torque control of permanent magnet synchronous motor drives," 5th International Conference on Electrical Machines, ICEMS, [3] T. Noguchi, M. Yamamoto, S. Kondo, I. Takahashi, "Enlarging switching frequency in direct torque controlled inverter by means of dithering," IEEE Transaction on Industry Applications,1999. [4] L.X.Tang, M.F.Rahman, Y.Zhiqing, and T.Cun, "Indepth research on direct torque control of permanent magnet synchronous motor," IECON 02 Industrial Electronics Society, IEEE 28 th annual Conference, [5] Brahim Metidji, Lotfi Baghli, and Seddik Bacha, LowCost Direct Torque Control Algorithm for Induction Motor without AC Phase Current Sensors, IEEE Transactions on Power Electronics, Vol.27.No.9, September [6] M.Ramaprasad Reddy, T.Brahmananda Reddy and B.Brahmaiah, discrete Space Vector Modulation Algorithm Based Vector Controlled Induction Motor Drive, Journal of Electrical Engineering. [7] D.A. Shahakar. Optimum Design Approach of Switched Reluctance Motors by Torque Ripple Reduction. International Journal of Advanced Research in Engineering and Technology, 5(4), 2014, pp [8] Pradeep B Jyoti, J.Amarnath and D.Subbarayudu. Application of Neuro Fuzzy Controller In Torque Ripple Minimization of Vector Controlled Vsi Induction Motor Drive. International Journal of Electrical Engineering and Technology, 4(3), 2012, pp [9] Hussain Shaik, S.Chaitanya and Dr. Sardar Ali. Speed Estimation Error of Sensorless Induction Motor Drives Using Soft Computing Technique. International Journal of Advanced Research in Engineering and Technology, 4(2), 2013, pp [10] Anjana Manuel and Jebin Francis, Simulation of Direct Torque Controlled Induction Motor Drive by Using Space Vector Pulse Width Modulation for Torque Ripple Reduction, IJAREEIE Vol.2, Isuue.9, September
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