Predictive Controller Strategies for Electrical Drives System using Inverter System

Main Article Content

Dr. Suraj R. Karpe
Sanjay Deokar
Dr. Ulhas B. Shinde

Abstract

Advanced control strategies in power electronics include Predictive controller of current (P CURRENT CONTROL) and Predictive controller of torque (P TORQUE CONTROL). In order to operate a SRM or an induction machine, the Predictive controller of torque (P TORQUE CONTROL) approach analyses the stator flux and electromagnetic torque in the cost function (IM), and the Predictive controller of current (P CURRENT CONTROL) method [1,2] takes errors between the current reference and the measured current into account in the cost function. The switching vector selected for usage in IGBTs reduces the error between the references and the predicted values. The system restrictions are easy to include [4, 5]. The weighting component is not required. Together with the P TORQUE CONTROL and P CURRENT CONTROL systems, the SRM method is the most practicable direct control technique since it doesn't require a modulator and offers 10% to 30% more power than an induction motor [3]. With the same current, an induction motor can only generate between 70 and 90 percent of the force generated by an SRM due to its lagging power factor. SRM approach decreases 23% more THD in torque, speed, and stator current when P CURRENT CONTROL and P TORQUE CONTROL method with 15-level H-bridge multilevel inverter is compared to P CURRENT CONTROL and P TORQUE CONTROL method with 15-level H-bridge multilevel inverter utilising induction motor [21]. The transistors are only swapped when necessary to maintain the limits of torque and flux, which minimises switching losses. To improve the efficiency of a multilevel inverter, semiconductor switches are switched in a specific pattern. In contrast to the P TORQUE CONTROL and P CURRENT CONTROL approaches using a 2-level voltage source inverter, the 15-level H-bridge multilevel inverter employed in this study, coupled with SRM and IM, gives outstanding torque and flux responses and achieves robust and stable operation. This unique strategy quickly caught the interest of academics due to its simple algorithm and high performances in both steady and transient modes [8].

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Predictive Controller Strategies for Electrical Drives System using Inverter System (Dr. Suraj R. Karpe, Sanjay Deokar, & Dr. Ulhas B. Shinde , Trans.). (2024). International Journal of Emerging Science and Engineering (IJESE), 12(7), 27-39. https://doi.org/10.35940/ijese.E4114.12070624
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Predictive Controller Strategies for Electrical Drives System using Inverter System (Dr. Suraj R. Karpe, Sanjay Deokar, & Dr. Ulhas B. Shinde , Trans.). (2024). International Journal of Emerging Science and Engineering (IJESE), 12(7), 27-39. https://doi.org/10.35940/ijese.E4114.12070624
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References

Patricio Cortés, Marian P. Kazmierkowski, and Ralph M. Kennel, Daniel E. Quevedo, and José Rodríguez, “Predictive Control in Power Electronics and Drives,” IEEE Transactions On Industrial Electronics, VOL. 55, NO. 12, Dec. 2008 https://doi.org/10.1109/TIE.2008.2007480

GeorgiosPapafotiou, Jonas Kley, Kostas G. Papadopoulos, Patrick Bohren, and Manfred Morari, “Model Predictive Direct Torque Control—Part I: Implementation and Experimental Evaluation,” IEEE Transactions On Industrial Electronics, VOL. 56, NO. 6, JUNE 2009 https://doi.org/10.1109/TIE.2008.2007032

GeorgiosPapafotiou, Jonas Kley, Kostas G. Papadopoulos, Patrick Bohren, and Manfred Morari, “Model Predictive Direct Torque Control—Part II: Implementation and Experimental Evaluation,” IEEE Transactions On Industrial Electronics, VOL. 56, NO. 6, JUNE 2009 https://doi.org/10.1109/TIE.2008.2007032

Thomas Burtscher and Tobias Geyer, “Deadlock Avoidance in Model Predictive Direct Torque Control,” IEEE Transactions On Industry Applications, Vol. 49, No. 5, September/October 2013. https://doi.org/10.1109/TIA.2013.2261445

Tobias Geyer, “Model Predictive Direct Torque Control: Derivation and Analysis of the State-Feedback Control Law,” IEEE Transactions On Industry Applications, Vol. 49, No. 5, September/October 2013 https://doi.org/10.1109/TIA.2013.2262255

James Scoltock, Tobias Geyer and Udaya K. Madawala, “A Comparison of Model Predictive Control Schemes for MV Induction Motor Drives,” IEEE Transactions On Industrial Informatics, Vol. 9, No. 2, May 2013 https://doi.org/10.1109/TII.2012.2223706

YongchangZhang andHaitao Yang, “Model Predictive controller of torque of Induction Motor Drives With Optimal Duty Cycle Control,” IEEE Transactions On Power Electronics, Vol. 29, No. 12, December 2014 https://doi.org/10.1109/TPEL.2014.2302838

Fengxiang Wang, Zhenbin Zhang, S. AlirezaDavari, Reza Fotouhi, Davood Arab Khaburi, José Rodríguez, and Ralph Kennel, “An EncoderlessPredictive controller of torque for an Induction Machine With a Revised Prediction Model and EFOSMO,” IEEE Transactions On Industrial Electronics, Vol. 61, No. 12, December 2014 https://doi.org/10.1109/TIE.2014.2317140

PetrosKaramanakos, , Peter Stolze, Student Member, Ralph M. Kennel, Stefanos Manias, and Hendrik du Toit Mouton, “Variable Switching Point Predictive controller of torque of Induction Machines,” IEEE Journal Of Emerging And Selected Topics In Power Electronics, Vol. 2, No. 2, June 2014 https://doi.org/10.1109/JESTPE.2013.2296794

Fengxiang Wang, Member, IEEE, Shihua Li, Senior Member, IEEE, Xuezhu Mei, Wei Xie, Member, IEEE, José Rodríguez, Fellow, IEEE, and Ralph M. Kennel, Senior Member, IEEE, “Model-Based Predictive Direct Control Strategies for Electrical Drives: An Experimental Evaluation of P TORQUE CONTROL and P CURRENT CONTROL Methods,” IEEE Transactions On Industrial Informatics, Vol. 11, No. 3, June 2015 https://doi.org/10.1109/TII.2015.2423154

Md. Habibullah, Student Member, IEEE, and Dylan Dah-Chuan Lu, Senior Member, IEEE, “A Speed-Sensorless FS-P TORQUE CONTROL of Induction Motors Using Extended Kalman Filters,” IEEE Transactions On Industrial Electronics, Vol. 11, No. 3, Aug 2015 https://doi.org/10.1109/TIE.2015.2442525

Takahashi and T. Noguchi, “A new quick-response and high-efficiency control strategy of an induction motor,” IEEE Trans. Ind. Appl., vol. 22, no. 5, pp. 820–827, Sep. 1986. https://doi.org/10.1109/TIA.1986.4504799

I. Takahashi and Y. Ohmori, “High-performance direct torque control of an induction motor,” IEEE Trans. Ind. Appl., vol. 25, no. 2, pp. 257–264, Mar./Apr. 1989. https://doi.org/10.1109/28.25540

M. Morari and J. Lee, “Model predictive control: Past, present and future,” Comput. Chem. Eng., vol. 23, no. 4, pp. 667–682, 1999. https://doi.org/10.1016/S0098-1354(98)00301-9

J. Holtz and S. Stadtfeldt, “A predictive controller for the stator current vector of AC machines fed from a switched voltage source,” in Proc. IEEE Int. Power Electron. Conf. (IPEC), Mar. 27–31, 1983, vol. 2, pp. 1665–1675.

R. Kennel and D. Schöder, “A predictive control strategy for converters,” in Proc. IFAC Control Power Electron. Elect. Drives, 1983, pp. 415–422. https://doi.org/10.1016/B978-0-08-030536-3.50061-1

M. Preindl and S. Bolognani, “Model predictive direct torque control with finite control set for SRM drive systems, part 1: Maximum torque per ampere operation,” IEEE Trans. Ind. Informat., vol. 9, no. 4, pp. 1912–1921, Nov. 2013. https://doi.org/10.1109/TII.2012.2227265

M. Preindl and S. Bolognani, “Model predictive direct torque control with finite control set for SRM drive systems, part 2: Field weakening operation,” IEEE Trans. Ind. Informat., vol. 9, no. 2, pp. 648–657, May 2013. https://doi.org/10.1109/TII.2012.2220353

C. Rojas et al., “Predictive torque and flux control without weighting factors,” IEEE Trans. Ind. Electron., vol. 60, no. 2, pp. 681–690, Feb. 2013. https://doi.org/10.1109/TIE.2012.2206344

J. Rodriguez et al., “State of the art of finite control set model predictive control in power electronics,” IEEE Trans. Ind. Informat., vol. 9, no. 2, pp. 1003–1016, May 2013. [17] J. Rodriguez et al., “Predictive controller of current of a voltage source inverter,” IEEE Trans. Ind. Electron., vol. 54, no. 1, pp. 495–503, Feb. 2007. https://doi.org/10.1109/TIE.2006.888802

SurajKarpe, Sanjay.A.Deokar,AratiM.Dixit,”“Switching losses minimization and performance improvement of P CURRENT CONTROL and P TORQUE CONTROL methods of model predictive direct torque control drives with 15-level inverter”,JESIT ,vol.1,December 2017. https://doi.org/10.1016/j.jesit.2017.01.009

SurajKarpe, Sanjay.A.Deokar,Ulhas B. Shinde,“Improved Performance of Direct Torque Control with PMSM compared to DTC with Induction Motor”,TURCOMAT ,vol.1,December 2017.

SurajKarpe, Sanjay.A.Deokar,AratiM.Dixit,”Switching Losses Minimization by Direct Torque Control,”JESIT ,vol.12,December 2021.

Reddy, B. E., Praveen, J., & Kumar A, V. (2019). Implementation of DSP Based Voltage Source Inverter (VSI) by using Sinusoidal Pulse Width Modulation Technique. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 8, Issue 2, pp. 4176–4180). https://doi.org/10.35940/ijrte.b3262.078219

Sharma, A. K. (2019). Simulation Implementation of Three Phase VSI Fed Three Phase Induction Motor Drive with Filter. In International Journal of Engineering and Advanced Technology (Vol. 8, Issue 6, pp. 1462–1468). https://doi.org/10.35940/ijeat.f8126.088619

Deepak, F. X. E., Senthamil, L. S., Umamaheswari, S., Nicholine, J. P., & Rathish, R. J. (2019). Fuzzy Logic Controlled PV Based Quasi Impedance Source Inverter for Charge Balancing. In International Journal of Innovative Technology and Exploring Engineering (Vol. 9, Issue 1, pp. 2633–2638). https://doi.org/10.35940/ijitee.a5338.119119

ALAHMAD, A. (2023). Using Medium Voltage Variable Frequency Drives Instead of Medium Voltage Switchgear in a Pump System. In Indian Journal of Signal Processing (Vol. 3, Issue 1, pp. 1–5). https://doi.org/10.54105/ijsp.b1014.023123

Paliwal, S., & Kalyan, B. S. (2022). Driver’s Activity Detection System using Human antenna. In Indian Journal of Energy and Energy Resources (Vol. 1, Issue 3, pp. 4–6). https://doi.org/10.54105/ijeer.c1007.051322

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