Modeling and Analysis of Time Response Parameters of a PMSM-Based Electric Vehicle with PI and PID Controllers

Authors

  • M. Yerri Veeresh Department of EEE, Jawaharlal Nehru Technological University Anantapur, India | Santhiram Engineering College, India
  • V. N. Bhaskar Reddy Department of EEE, Rajeev Gandhi Memorial College of Engineering and Technology, India
  • R. Kiranmayi Department of EE, Jawaharlal Nehru Technological University Anantapur, India
Volume: 12 | Issue: 6 | Pages: 9737-9741 | December 2022 | https://doi.org/10.48084/etasr.5321

Abstract

This paper presents the mathematical modeling of a vector-controlled Permanent Magnet Synchronous Motor (PMSM) drive with either a Proportional Integral (PI) controller or a Proportional Integral Derivative (PID) controller as a propulsion system for an Electric Vehicle (EV). Most commercial drives use a standard PI controller as a speed regulator. The vector control system model consists of the PMSM, a PWM inverter, the speed controller, and vehicle dynamics for speed control. The performance analysis of the drive is evaluated under transient conditions for settling time, rise time, steady state error of speed, and the vehicle’s acceleration at the wheel axle for specifically designated values validated by MATLAB/Simulink.

Keywords:

Permanent Magnet Synchronous Motor (PMSM), electric vehicle dynamics, Proportional Integral (PI) controller, Proportional Integral Derivative (PID) controller

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References

C. C. Chan and K. T. Chau, "An overview of power electronics in electric vehicles," IEEE Transactions on Industrial Electronics, vol. 44, no. 1, pp. 3–13, Oct. 1997. DOI: https://doi.org/10.1109/41.557493

Global Electric Vehicle Outlook 2022. France: International Energy Agency, 2022.

S. Morimoto, "Trend of permanent magnet synchronous machines," IEEJ Transactions on Electrical and Electronic Engineering, vol. 2, no. 2, pp. 101–108, 2007. DOI: https://doi.org/10.1002/tee.20116

R. N. Hajare and A. G. Thosar, "Modeling and Simulation of Permanent Magnet Synchronous Motor using MATLAB," vol. 7, no. 3, pp. 413–423, 2014.

V. V. Patel, "Ziegler-Nichols Tuning Method," Resonance, vol. 25, no. 10, pp. 1385–1397, Oct. 2020. DOI: https://doi.org/10.1007/s12045-020-1058-z

E.-C. Shin, T.-S. Park, W.-H. Oh, and J.-Y. Yoo, "A design method of PI controller for an induction motor with parameter variation," in IECON’03. 29th Annual Conference of the IEEE Industrial Electronics Society, Roanoke, VA, USA, Aug. 2003, vol. 1, pp. 408–413.

"Electric and Hybrid Vehicles, Design Fundamentals [Book Review]," IEEE Circuits and Devices Magazine, vol. 21, no. 5, pp. 26–27, Sep. 2005. DOI: https://doi.org/10.1109/MCD.2005.1517392

J. Larminie and J. Lowry, Electric Vehicle Technology Explained, 2nd ed. Wiley, 2012. DOI: https://doi.org/10.1002/9781118361146

M. Y. Veeresh, V. N. B. Reddy, and R. Kiranmayi, "Range Estimation of Battery Electric Vehicle by Mathematical Modelling of Battery’s Depth-of-Discharge," International Journal of Engineering and Advanced Technology, vol. 8, no. 6, pp. 3987–3992, Aug. 2019. DOI: https://doi.org/10.35940/ijeat.F8800.088619

M. Yildirim, M. C. Catalbas, A. Gulten, and H. Kurum, "Computation of the Speed of Four In-Wheel Motors of an Electric Vehicle Using a Radial Basis Neural Network," Engineering, Technology & Applied Science Research, vol. 6, no. 6, pp. 1288–1293, Dec. 2016. DOI: https://doi.org/10.48084/etasr.889

P. T. Giang, V. T. Ha, and V. H. Phuong, "Drive Control of a Permanent Magnet Synchronous Motor Fed by a Multi-level Inverter for Electric Vehicle Application," Engineering, Technology & Applied Science Research, vol. 12, no. 3, pp. 8658–8666, Jun. 2022. DOI: https://doi.org/10.48084/etasr.4935

P. Pillay and R. Krishnan, "Modeling of permanent magnet motor drives," IEEE Transactions on Industrial Electronics, vol. 35, no. 4, pp. 537–541, Aug. 1988. DOI: https://doi.org/10.1109/41.9176

C. Bowen, Z. Jihua, and R. Zhang, "Modeling and simulation of permanent magnet synchronous motor drives," in ICEMS’2001. Proceedings of the Fifth International Conference on Electrical Machines and Systems, Shenyang, China, Dec. 2001, vol. 2, pp. 905–908.

A. Mansouri and T. Hafedh, "Torque Ripple Minimization and Performance Investigation of an In-Wheel Permanent Magnet Motor," Engineering, Technology & Applied Science Research, vol. 6, no. 3, pp. 987–992, Jun. 2016. DOI: https://doi.org/10.48084/etasr.644

J. C. Basilio and S. R. Matos, "Design of PI and PID controllers with transient performance specification," IEEE Transactions on Education, vol. 45, no. 4, pp. 364–370, Aug. 2002. DOI: https://doi.org/10.1109/TE.2002.804399

S. Mikkili and A. K. Panda, "SHAF for mitigation of Current harmonics with p-q and Id-Iq control strategies using both PI and Fuzzy Controllers," in International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2011), Chennai, India, Jul. 2011, pp. 358–362. DOI: https://doi.org/10.1049/cp.2011.0389

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How to Cite

[1]
Yerri Veeresh, M., Bhaskar Reddy, V.N. and Kiranmayi, R. 2022. Modeling and Analysis of Time Response Parameters of a PMSM-Based Electric Vehicle with PI and PID Controllers. Engineering, Technology & Applied Science Research. 12, 6 (Dec. 2022), 9737–9741. DOI:https://doi.org/10.48084/etasr.5321.

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