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GPIO-Based Nonlinear Predictive Control for Flux-Weakening Current Control of the IPMSM Servo System

Author

Listed:
  • Chao Wu

    (School of Automation, Southeast University, Key Laboratory of Measurement and Control of CSE, Ministry of Education, Nanjing 210096, China)

  • Jun Yang

    (School of Automation, Southeast University, Key Laboratory of Measurement and Control of CSE, Ministry of Education, Nanjing 210096, China)

  • Qi Li

    (School of Automation, Southeast University, Key Laboratory of Measurement and Control of CSE, Ministry of Education, Nanjing 210096, China)

Abstract

This paper proposes a generalized proportional integral observer (GPIO) based nonlinear predictive control (NPC) for an interior permanent magnet synchronous motor (IPMSM) to improve the flux-weakening (FW) current control performance against the complex nonlinear cross-coupling terms and the IPMSM parameters’ variations. First, the IPMSM is remodeled to further analyze the FW control difficulties caused by such cross-coupling terms and parameters variations. Considering the parameters’ variations as a kind of disturbance, a GPIO is then designed to compensate for such disturbance. A GPIO-based NPC is finally designed to handle the nonlinear cross-coupling terms to obtain an optimized current control performance. Experiments on a digital signal processor (DSP) based IPMSM servo system validate the workability of the proposed control scheme.

Suggested Citation

  • Chao Wu & Jun Yang & Qi Li, 2020. "GPIO-Based Nonlinear Predictive Control for Flux-Weakening Current Control of the IPMSM Servo System," Energies, MDPI, vol. 13(7), pages 1-21, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1716-:d:341365
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    References listed on IDEAS

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    1. Kai Zhou & Min Ai & Dongyang Sun & Ningzhi Jin & Xiaogang Wu, 2019. "Field Weakening Operation Control Strategies of PMSM Based on Feedback Linearization," Energies, MDPI, vol. 12(23), pages 1-18, November.
    2. Thanh Anh Huynh & Min-Fu Hsieh, 2018. "Performance Analysis of Permanent Magnet Motors for Electric Vehicles (EV) Traction Considering Driving Cycles," Energies, MDPI, vol. 11(6), pages 1-24, May.
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    Cited by:

    1. Ji-Chang Son & Myung-Ki Baek & Sang-Hun Park & Dong-Kuk Lim, 2021. "Improved Immune Algorithm Combined with Steepest Descent Method for Optimal Design of IPMSM for FCEV Traction Motor," Energies, MDPI, vol. 14(13), pages 1-12, June.
    2. Ji-Chang Son & Young-Rok Kang & Dong-Kuk Lim, 2020. "Optimal Design of IPMSM for FCEV Using Novel Immune Algorithm Combined with Steepest Descent Method," Energies, MDPI, vol. 13(13), pages 1-15, July.
    3. Zhuo Liu & Azeddine Houari & Mohamed Machmoum & Mohamed-Fouad Benkhoris & Tianhao Tang, 2020. "An Active FTC Strategy Using Generalized Proportional Integral Observers Applied to Five-Phase PMSG based Tidal Current Energy Conversion Systems," Energies, MDPI, vol. 13(24), pages 1-22, December.
    4. Yang Liu & Jin Zhao & Quan Yin, 2021. "Model-Based Predictive Rotor Field-Oriented Angle Compensation for Induction Machine Drives," Energies, MDPI, vol. 14(8), pages 1-13, April.

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