Model Predictive Control for a Permanent Magnet Synchronous Motor Subject to Actuation Fault

Authors

  • Abdulkadir O. Nurudeen Department of Mechanical Engineering, Glasgow Caledonian University, Glasgow, Scotland, UK
  • Oyedotun E. Oyewole Institute of Energy and Environment, Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK
  • Abdulrahman Babagana Institute of Energy and Environment, Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK
  • Isah Abdulrasheed Jimoh Institute of Energy and Environment, Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK

Keywords:

Permanent magnet synchronous motor, Model predictive control, Fault-tolerant Control, Disturbance rejection

Abstract

Driven by the demand for greater energy efficiency and compact design, Permanent Magnet Synchronous Motors (PMSMs) have seen increasing adoption, gradually supplanting induction motors in applications like electric vehicles and household appliances. This paper investigates the constrained optimal control of the d-axis current and speed of a PMSM under the influence of external disturbances induced by load torque and scaling actuation faults in the d-q control voltages. To address this challenge, a fault-tolerant delta input form model predictive control (MPC) strategy is developed, which computes the input increment and compensates for the effects of uncertainty through the use of an observer that estimates the state and input vectors online. The proposed control scheme requires no modification to the standard MPC formulation based on the delta input form, except that the variables used to initialize the constrained optimal control problem are derived from the estimated state and input vectors. The performance of the control scheme is demonstrated through extensive simulations, which show its superiority over the conventional MPC strategy.

References

[1] X. Sun, N. Xu, M. Yao, F. Cai and M. Wu, Efficient feedback linearization control for an IPMSM of EVs based on improved firefly algorithm, ISA Transactions, 134, 2023, 431-441.

[2] S. Niu, Y. Luo, W. Fu and X. Zhang, An indirect reference vector-based model predictive control for a three-phase PMSM motor, IEEE Access, 8, 2020, 29435-29445.

[3] A. Rassõlkin, A. Kallaste, S. Orlova, L. Gevorkov, T. Vaimann and A. Belahcen, Re-use and recycling of different electrical machines, Latvian Journal of Physics and Technical Sciences, 55(4), 2018, 13-23.

[4] J. Linares-Flores, C. Garcia-Rodriguez, H. Sira-Ramirez and O. D. Ramirez-Cardenas, Robust backstepping tracking controller for low speed PMSM positioning system: Design, analysis, and implementation, IEEE Transactions on Industrial Informatics, 11(5), 2015, 1130-1141.

[5] T. D. Do, H. H. Choi and J. -W. Jung, θ-D approximation technique for nonlinear optimal speed control design of surface-mounted PMSM drives, IEEE/ASME Transactions on Mechatronics, 20(4), 2015, 1822-1831.

[6] H. B. Shin, New anti-windup PI controller for variable-speed motor drives, IEEE Transactions on Industrial Electronics, 45(3), 1998, 445-450.

[7] M. Kerr, M. C. Turner, E. Villota, S. Jayasuriya and I. Postlethwaite, A robust anti-windup design procedure for SISO systems, International Journal of Control, 84(2), 2011, 351-369.

[8] Y. Peng, D. Vrancic and R. Hanus, Anti-windup, bumpless, and conditioned transfer techniques for PID controllers, IEEE Control Systems Magazine, 16(4), 1996, 48-57.

[9] F. M. Zaihidee, S. Mekhilef and M. Mubin, Application of fractional order sliding mode control for speed control of permanent magnet synchronous motor, IEEE Access, 7, 2019, 101765-101774.

[10] S. Li, M. Zhou and X. Yu, Design and implementation of terminal sliding mode control method for PMSM speed regulation system, IEEE Transactions on Industrial Informatics, 9(4), 2013, 1879-1891.

[11] S. Li, K. Zong and H. Liu, A composite speed controller based on a second-order model of permanent magnet synchronous motor system, Transactions of the Institute of Measurement and Control, 33(5), 2011, 522-541.

[12] H. Liu and S. Li, Speed control for PMSM servo system using predictive functional control and extended state observer, IEEE Transactions on Industrial Informatics, 59(2), 2012, 1171-1183.

[13] F. F. M. El-Sousy, Robust wavelet-neural-network sliding-mode control system for permanent magnet synchronous motor drive, IET Electric Power Applications, 5(1), 2011, 113-132.

[14] F. M. Zaihidee, S. Mekhilef and M. Mubin, Robust speed control of PMSM using sliding mode control (SMC) - A review, Energies, 12(9), 2019, 1669.

[15] J. Zhou and Y. Wang, Adaptive backstepping speed controller design for a permanent magnet synchronous motor, IEE Proceedings: Electric Power Applications, 149(2), 2002, 165-172.

[16] Y. X. Su, C. H. Zheng and B. Y. Duan, Automatic disturbances rejection controller for precise motion control of permanent-magnet synchronous motors, IEEE Transactions on Industrial Electronics, 52(3), 2005, 814-823.

[17] T. -L. Hsien, Y. -Y. Sun and M. -C. Tsai, H_∞ control for a sensorless permanent-magnet synchronous drive, IEE Proceedings: Electric Power Applications, 144(3), 1997, 173-181.

[18] A. Jimoh, I. B. Küçükdemiral, G. Bevan, and P. E. Orukpe, Offset-free model predictive control: A study of different formulations with further results, Proceedings of the 2020 28th Mediterranean Conference on Control and Automation (MED), Saint-Raphaël, France, 2020, 671-676.

[19] H. Deng and T. Ohtsuka, A parallel newton-type method for nonlinear model predictive control, Automatica, 109, 2019, 108560.

[20] A. Brosch, O. Wallscheid, and J. Böcker, Model predictive control of permanent magnet synchronous motors in the overmodulation region including six-step operation, IEEE Open Journal of Industry Applications, 2, 2021, 47-63.

[21] M. Peña, M. Meyer, O. Wallscheid and J. Böcker, Model predictive direct self-control for six-step operation of permanent-magnet synchronous machines, IEEE Transactions on Power Electronics, 38(10), 2023, 12416-12429.

[22] A. A. Ahmed, Fast-speed drives for permanent magnet synchronous motor based on model predictive control, Proceedings of the 2015 IEEE Vehicle Power and Propulsion Conference (VPPC), Montreal, Canada, 2015, 1-6.

[23] M. M. Ismail, W. Xu, J. Ge, Y. Tang, A. K. Junejo and M. G. Hussien, Adaptive linear predictive model of an improved predictive control of permanent magnet synchronous motor over different speed regions, IEEE Transactions on Power Electronics, 37(12), 2022, 15338-15355.

[24] S. Chai, L. Wang and E. Rogers, Model predictive control of a permanent magnet synchronous motor with experimental validation, Control Engineering Practice, 21(11), 2013, 1584-1593.

[25] Y. Zhu, G. Xu, J. Yin and Y. Liu, Speed control of permanent magnet synchronous motor drives based on model predictive control, Proceedings of the 2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC), Dalian, China, 2017, 908-913.

[26] P. S. Cisneros and H. Werner, A velocity algorithm for nonlinear model predictive control, IEEE Transactions on Control Systems Technology, 29(3), 2020, 1310-1315.

[27] A. H. Gonzalez, E. J. Adam, and J. L. Marchetti, Conditions for offset elimination in state space receding horizon controllers: A tutorial analysis, Chemical Engineering and Processing: Process Intensification, vol. 47, no. 12, pp. 2184-2194, 2008.

[28] A. Jimoh, T. Zaman, M. Syed, H. Yue, G. Burt and M. S. El Moursi, Tube-based linear parameter-varying model predictive control for wind energy conversion systems, IEEE Transactions on Sustainable Energy, 16(2), 2024, 1225-1237.

[29] P. Pillay and R. Krishnan, Modeling of permanent magnet motor drives, IEEE Transactions on Industrial Electronics, 35(4), 1988, 537-541.

[30] G. Pannocchia, Offset-free tracking MPC: A tutorial review and comparison of different formulations, Proceedings of the 2015 European Control Conference (ECC), Linz, Austria, 2015, 527-532.

[31] L. Wang, Model predictive control system design and implementation using MATLAB. Springer Science & Business Media, 2009.

Downloads

Published

13-10-2025

How to Cite

O. Nurudeen, A., Oyewole, O. E., Babagana, A., & Jimoh, I. A. (2025). Model Predictive Control for a Permanent Magnet Synchronous Motor Subject to Actuation Fault. Applications of Modelling and Simulation, 9, 374–388. Retrieved from https://www.ojs.arqiipubl.com/index.php/AMS_Journal/article/view/1035

Issue

Section

Articles

Similar Articles

<< < 1 2 3 4 5 6 7 8 > >> 

You may also start an advanced similarity search for this article.