Fuzzy-PID Control Design and Performance Analysis for PMSM Drives in Electric Vehicles

  • Kalyankolo Umaru
  • Nafuna Ritah
  • Mugabe Rodney
  • Yudaya Nansukusa
  • Salaama Asikuru
  • Noah Ochima
  • Pison Mutaburura
  • Kalyankolo Zaina
DOI: https://doi.org/10.36079/lamintang.jetas-0703.917
Keywords: FOC, Fuzzy Logic, MATLAB, PID, PMSM

Abstract

The increasing demand for high performance and energy efficient electric vehicles has driven research into advanced motor control strategies for Permanent Magnet Synchronous Motors. This study investigates the design and performance evaluation of a Fuzzy PID controller as the speed regulator to address the limitations of the typical PID controllers in EV propulsion and a field-oriented control strategy is used. A conventional PID controller is initially implemented and tuned using the Ziegler-Nichols closed loop method. A Fuzzy Inference System is developed and then integrated with the PID controller to form a hybrid Fuzzy PID controller capable of adjusting the PID gains in real time. The performance of both controllers is evaluated under various test scenarios including speed variations, load disturbances, and parameter changes. Simulation results demonstrate that the Fuzzy PID controller significantly reduced overshoot by 0.5%, reduced rise time by 32.04%, improved settling time by 8.04%, and therefore enhanced system stability and responsiveness compared to the typical PID controller. These improvements validate the effectiveness of fuzzy logic in managing the uncertainties associated with PMSM control in EV applications.

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Author Biographies

Kalyankolo Umaru

Department of Electrical Engineering and Automation, Muni University. Arua, Uganda.

Nafuna Ritah

Department of Computer and Information Science, Muni University. Arua, Uganda.

Mugabe Rodney

Department of Electrical and Control Engineering, International University of East Africa (IUEA). Kampala, Uganda.

Yudaya Nansukusa

Department of Computer and Information Science, Muni University. Arua, Uganda.

Salaama Asikuru

Department of Electrical Engineering and Automation, Muni University. Arua, Uganda.

Noah Ochima

Department of Electrical Engineering and Automation, Muni University. Arua, Uganda.

Pison Mutaburura

Department of Electrical Engineering and Automation, Muni University. Arua, Uganda.

Kalyankolo Zaina

Department of Information Technology, Faculty of Computing and Informatics, Mbarara University of Science and Technology. Mbarara, Uganda.

This is an open access article, licensed under CC-BY-SA

Creative Commons License
Published
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2025-12-28
    Downloads : 60
How to Cite
[1]
K. Umaru, “Fuzzy-PID Control Design and Performance Analysis for PMSM Drives in Electric Vehicles”, Journal of Engineering, Technology, and Applied Science, vol. 7, no. 3, pp. 127-148, Dec. 2025.
Issue
Vol 7 No 3: December 2025
Section
Articles

References

W. Xu, M. M. Ismail, and M. R. Islam, Permanent Magnet Synchronous Machines and Drives: Flux Weakening Advanced Control Techniques. CRC Press, 2023.

H. O. Erkol, "Optimized Field Oriented Control Design by Multi Objective Optimization," International Journal of Advanced Computer Science and Applications, 2019.

A. Visioli, "Pid control system design and automatic tuning using matlab/simulink," IEEE Control Systems Magazine, vol. 41, no. 3, pp. 99-100, 2021.

J. G. Ziegler and N. B. Nichols, "Optimum settings for automatic controllers," ASME Journal of Dynamic Systems, Measurement, and Control, vol. 115, no. 2B, pp. 220-222, 1993.

R. P. Borase, D. K. Maghade, S. Y. Sondkar, and S. N. Pawar, "A review of PID control, tuning methods and applications," International Journal of Dynamics and Control, vol. 9, no. 2, pp. 818-827, 2021.

I. Voncila, I. Paraschiv, and M. Costin, "The Influence of Saturation on the Performance of PMSM," in 7th International Symposium on Electrical and Electronics Engineering, Galati, Romania, 2021, pp. 1-6.

O. E. Özçiflikçi, M. Koç, S. Bahçeci, and S. Emiroğlu, "Overview of PMSM control strategies in electric vehicles: A review," Int. J. Dyn. Control, vol. 12, pp. 2093–2107, 2024.

F. Amin, E. Sulaiman, and H. Soomro, "Field oriented control principles for synchronous motor," International Journal of Mechanical Engineering and Robotics Research, vol. 8, pp. 284-288, 2019.

P. Mohindru, "Review on PID, fuzzy and hybrid fuzzy PID controllers for controlling non-linear dynamic behaviour of chemical plants," Artificial Intelligence Review, vol. 57, no. 4, p. 97, 2024.

I. Voncila, I. Paraschiv, and M. Costin, "The Influence of Saturation on the Performance of PMSM," in 7th International Symposium on Electrical and Electronics Engineering, Galati, Romania, 2021, pp. 1-6.

H. Chen, W. Liu, and Y. Li, "Comprehensive Design and Analysis of an Interior Permanent Magnet Synchronous Machine for Light Duty Passenger EVs," IEEE Transactions on Transportation Electrification, vol. 7, no. 1, pp. 123-134, 2021.

E. Hernández-Mayoral et al., "A comprehensive review on power-quality issues, optimization techniques, and control strategies of microgrid based on renewable energy sources," Sustainability, vol. 15, no. 12, p. 9847, 2023.

M. A. Azom and M. Y. A. Khan, "Recent developments in control and simulation of permanent magnet synchronous motor systems," Control Systems and Optimization Letters, vol. 3, no. 1, pp. 84-91, 2025.

R. Jang and N. Gulley, Fuzzy Logic Toolbox™ User's Guide, MATLAB R2021b. The MathWorks, Inc., 2021.

G. Filo, "A review of fuzzy logic method development in hydraulic and pneumatic systems," Energies, vol. 16, no. 22, p. 7584, 2023.

I. M. Cabral, J. S. Pereira, and J. B. Ribeiro, "Performance evaluation of PID and Fuzzy Logic controllers for residential ORC-based cogeneration systems," Energy Conversion and Management: X, vol. 23, p. 100622, 2024.

W. Ahmed, M. Adel, M. Taha, and A. Saleh, "PSO technique applied to sensorless field-oriented control PMSM drive with discretized RL-fractional integral," Alexandria Engineering Journal, vol. 60, pp. 4029-4040, 2021.

P. V. Chakaravarthi and P. Karpagavalli, "Speed control of PMSM motor using fuzzy and PID controller," Journal of Selected Areas in Microelectronics, vol. 8, no. 2, pp. 121-128, 2016.

N. P. Ananthamoorthy and B. K. Baskaran, "High performance hybrid fuzzy PID controller for permanent magnet synchronous motor drive with minimum rule base," Journal of Vibration and Control, vol. 21, no. 1, pp. 181-194, 2015.

S. Gupta, S. George, and V. Awate, "PI Controller Design and Application for SVPWM Switching Technique Based of PMSM," in Second International Conference on Trends in Electrical, Electronics and Computer Engineering, Bangalore, India, 2023, pp. 172-177.

A. Sergakis, M. Salinas, N. Gkiolekas, and K. N. Gyftakis, "A Review of Condition Monitoring of Permanent Magnet Synchronous Machines: Techniques, Challenges and Future Directions," Energies, vol. 18, no. 5, p. 1177, 2025.

R. P. Borase et al., "A review of PID control, tuning methods and applications," International Journal of Dynamics and Control, vol. 9, pp. 818-827, 2021.

F. Jin, H. Wan, Z. Huang, and M. Gu, "PMSM Vector Control Based on Fuzzy PID Controller," Journal of Physics: Conference Series, vol. 1617, 2020.

A. Benevieri et al., "‘Surface Permanent Magnet Synchronous Motors’ Passive Sensor less Control: A Review," Energies, vol. 15, no. 57, 2022.

Ł. Lemieszewski and P. Puzio, "Optimization of PID Controller Settings Using the Ziegler–Nichols Method in Pneumatic Pressure Control Systems," Procedia Computer Science, vol. 270, pp. 5177-5186, 2025.

Y. Sato, T. Kubota, and A. Chiba, "Research on the Performances and Parameters of Interior PMSM Used for Electric Vehicles," IEEE Transactions on Magnetics, vol. 51, no. 11, pp. 1-4, 2015.

A. G. Gad, "Particle swarm optimization algorithm and its applications: A systematic review," Archives of Computational Methods in Engineering, vol. 29, no. 5, 2022.

A. Lambora, K. Gupta, and K. Chopra, "Genetic algorithm-A literature review," in International Conference on Machine Learning, Big Data, Cloud and Parallel Computing, 2019, pp. 380-386.

A. Balashanmugham and M. Maheswaran, "Permanent Magnet Synchronous Machine Drives," in Applied Electromechanical Devices and Machines for Electric Mobility Solutions, IntechOpen, Mar. 25, 2020.

R. Martinek et al., "Design of a Measuring System for Electricity Quality Monitoring within the SMART Street Lighting Test Polygon: Pilot Study on Adaptive Current Control Strategy for Three Phase Shunt Active Power Filters," Sensors, vol. 20, 2020.

N. S. Nise, Control Systems Engineering. Hoboken, NJ, USA: John Wiley & Sons, 2020.