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Robust Model Predictive Current Control With Adaptive Extended-State-Observer for Permanent Magnet Synchronous Motor
ID：71 View Protection：PUBLIC Updated Time：2023-06-12 15:27:48 Hits：1190 Poster Presentation

Start Time：2023-06-19 09:00（Asia/Shanghai）

Duration：0min

Session：E Poster Session » E1Poster Session 1

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Abstract
Three-vector based model predictive current control (TV-MPCC) has been recently proposed to improve the steady-state performance for permanent magnet synchronous motor(PMSM) drive system. However, the TV-MPCC presents poor performance when the predictive model is inaccurate due to motor parameter mismatches. To address this issue, a TV-MPCC based on adaptive extended-state observer (TV-MPCC-AESO) for PMSM is proposed in this paper. Therein, the disturbance caused by parameter mismatches is observed by the designed AESO and compensated into the predictive model to improve the robustness of TV-MPCC. Extensive comparative simulations are conducted to demonstrate the effectiveness of the proposed TV-MPCC-AESO scheme.
Keywords
PMSM;TV-MPCC;parameter robustness;adaptive extended state observer (AESO)
Speaker
Feifan Li
Dalian University of Technology

Ze Li
Hebei University

Xiaohua Zhang

Yuanbo Guo

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Important Date

  • Conference Date

    Jun 16

    2023

    to

    Jun 19

    2023

  • Jun 15 2023

    Contribution Submission Deadline

  • Jul 02 2023

    Registration deadline

Sponsored By
Huazhong University of Science and Technology, China
(IEEE PELS)
IEEE
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