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Modulated Model Predictive Control Strategies for Low-Inductance High-Speed PMSM Drives: A Comparative Analysis

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  • Ahmed Aboelhassan

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310058, China
    Electrical and Control Engineering Department, College of Engineering and Technology, Arab Academy for Science, Technology, and Maritime Transport (AASTMT), Alexandria 1029, Egypt)

  • Shuo Wang

    (Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute, University of Nottingham Ningbo China, Ningbo 315100, China)

  • Xiaoyan Huang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310058, China)

  • Giampaolo Buticchi

    (Key Laboratory of More Electric Aircraft Technology of Zhejiang Province, University of Nottingham Ningbo China, Ningbo 315100, China)

  • Liang Yan

    (School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China)

  • Ahmed M. Diab

    (Electrical Power and Machine Engineering, Zagazig University, Zagazig 44519, Egypt)

Abstract

Model predictive control (MPC) is one of the advanced control strategies implemented for different applications to provide better performance and faster dynamic response. Modulated model predictive control (M 2 PC) is one of the recent MPC structures. It is developed based on the fixed switching frequency modulator and duty cycles concept, resulting in improved performance indicators under different operating conditions. In addition, one of the given PWM topologies that gained much attention due to higher switching frequency operation with similar power losses is discontinuous pulse width modulation (DPWM). Therefore, different M 2 PC methods including deadbeat control (DBC-M 2 PC) and cost function ratio (CFR-M 2 PC) have been implemented for low-inductance high-speed permanent magnet synchronous motor (PMSM) drives employing DPWM. The DBC-M 2 PC strategy shows a superior performance over the CFR-M 2 PC approach. Simulation analysis along with practical investigation through a dedicated high-speed testing rig are illustrated for both methods.

Suggested Citation

  • Ahmed Aboelhassan & Shuo Wang & Xiaoyan Huang & Giampaolo Buticchi & Liang Yan & Ahmed M. Diab, 2025. "Modulated Model Predictive Control Strategies for Low-Inductance High-Speed PMSM Drives: A Comparative Analysis," Energies, MDPI, vol. 18(18), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:18:p:4926-:d:1750758
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