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Enhanced Dynamic Control for Flux-Switching Permanent Magnet Machines Using Integrated Model Predictive Current Control and Sliding Mode Control

Author

Listed:
  • Mohammadreza Mamashli

    (Department of Electrical and Computer Engineering, Memorial University of Newfoundland, St. John’s, NL A1B 3X5, Canada)

  • Mohsin Jamil

    (Department of Electrical & Computer Engineering, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, 240 Prince Phillip Drive, St. John’s, NL A1B 3X5, Canada)

Abstract

Enhancing the dynamic response of Flux-Switching Permanent Magnet Synchronous Machines (FSPMSMs) is crucial for high-performance applications such as electric vehicles, renewable energy systems, and industrial automation. Conventional Proportional Integral (PI) controllers within model predictive current control (MPCC) frameworks often struggle to meet the demands of rapid transient response and precise speed tracking, particularly under dynamic operating conditions. To address these challenges, this paper presents a hybrid control strategy that integrates Sliding Mode Control (SMC) into the speed loop of MPCC, aiming to significantly improve the dynamic response and control robustness of FSPMSMs. The feasibility and effectiveness of the proposed approach are validated through high-fidelity real-time simulations using OPAL-RT Technologies’ OP5707XG simulator. Two control schemes are compared: MPCC with a PI controller in the speed loop (MPCC-PI) and MPCC with SMC in the speed loop (MPCC-SMC). Testing was conducted under various operating scenarios, including starting tests, load variations, speed ramping, and speed reversals. The results demonstrate that the MPCC-SMC strategy achieves superior dynamic performance, faster settling times, smoother transitions, and enhanced steady-state precision compared to the MPCC-PI scheme. The comparative results confirm that the MPCC-SMC method outperforms conventional MPCC strategies, making it a compelling solution for advanced motor drive applications requiring enhanced dynamic control.

Suggested Citation

  • Mohammadreza Mamashli & Mohsin Jamil, 2025. "Enhanced Dynamic Control for Flux-Switching Permanent Magnet Machines Using Integrated Model Predictive Current Control and Sliding Mode Control," Energies, MDPI, vol. 18(5), pages 1-25, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:5:p:1061-:d:1596952
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    References listed on IDEAS

    as
    1. Rasool Kahani & Mohsin Jamil & M. Tariq Iqbal, 2022. "Direct Model Reference Adaptive Control of a Boost Converter for Voltage Regulation in Microgrids," Energies, MDPI, vol. 15(14), pages 1-19, July.
    2. Abu Sufyan & Mohsin Jamil & Salman Ghafoor & Qasim Awais & Hafiz Ali Ahmad & Ashraf Ali Khan & Hassan Abouobaida, 2022. "A Robust Nonlinear Sliding Mode Controller for a Three-Phase Grid-Connected Inverter with an LCL Filter," Energies, MDPI, vol. 15(24), pages 1-16, December.
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