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Industrial Networks and Intelligent Systems. 10th EAI International Conference, INISCOM 2024, Da Nang, Vietnam, February 20–21, 2024, Proceedings

Research Article

Joint Online Adaptive Optimal Tracking Control and Frequency-Response Method for Speed of PMSM and DC-Link Voltage Peak Controller Design in Bi-directional Quasi Z-Source Inverter

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-67357-3_3,
        author={Cong-Thanh Pham},
        title={Joint Online Adaptive Optimal Tracking Control and Frequency-Response Method for Speed of PMSM and DC-Link Voltage Peak Controller Design in Bi-directional Quasi Z-Source Inverter},
        proceedings={Industrial Networks and Intelligent Systems. 10th EAI International Conference, INISCOM 2024, Da Nang, Vietnam, February 20--21, 2024, Proceedings},
        proceedings_a={INISCOM},
        year={2024},
        month={7},
        keywords={Bi-directional Quasi-Z-source inverter Permanent magnet synchronous motors Optimal control Reinforcement learning},
        doi={10.1007/978-3-031-67357-3_3}
    }
    
  • Cong-Thanh Pham
    Year: 2024
    Joint Online Adaptive Optimal Tracking Control and Frequency-Response Method for Speed of PMSM and DC-Link Voltage Peak Controller Design in Bi-directional Quasi Z-Source Inverter
    INISCOM
    Springer
    DOI: 10.1007/978-3-031-67357-3_3
Cong-Thanh Pham1,*
  • 1: Faculty of Electrical and Electronic
*Contact email: thanhpc@vaa.edu.vn

Abstract

This paper proposes a control strategy with three joint controllers to improve the speed response of a permanent magnet synchronous motor (PMSM) in an electric vehicle (EV) system. The first controller is an online adaptive optimal tracking controller (OTC) to enhance the tracking response of the speed of the PMSM. This controller is derived based on reinforcement learning (RL) method by approximating the solutions of the Hamilton-Jacobi-Isaacs (HJI) equations while still ensuring the stability of the closed-loop system of PMSM. Three components are approximated simultaneously online: one performance index (one critic), one control law (the first actor), and one worst disturbance law (the second actor). On the other hand, the DC-link voltage peak (DVP) the Bi-directional Quasi Z-Source Inverter (BZI) needs to be regulated so that the PMSM can be operational in the high-speed zone. Therefore, the next two controllers are applied based on a frequency-response method to improve the responses of the inductor current and the DVP in the closed-loop control system of the BZI with unknown dynamics of the PMSM and BZI (PZI). The simulation results of the speed response with the PZI model show the effectiveness and robustness of the proposed control strategy.

Keywords
Bi-directional Quasi-Z-source inverter, Permanent magnet synchronous motors, Optimal control, Reinforcement learning
Published
2024-07-31
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-67357-3_3
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