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Robust Deadbeat Predictive Current Control Based on Adaptive Internal Model Disturbance Observer for PMLSM Drives
ID：32 View Protection：PRIVATE Updated Time：2023-06-12 15:22:07 Hits：1149 Oral Presentation

Start Time：2023-06-18 14:00（Asia/Shanghai）

Duration：20min

Session：S Oral Session » S4Oral Session 7 & Oral Session 10

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Abstract
A robust deadbeat predictive current control (DPCC) method to address the high demand for current loop performance in permanent magnet linear synchronous motor (PMSLM) control system is studied. At first, a DPC controller is designed and applied to the PMSLM vector control system to improve the current dynamic performance. Secondly, in response to the limitation of the accuracy of the DPCC on motor parameter accuracy, an adaptive internal model disturbance observer (AIMDO) is proposed to compensate for parameter variation disturbances. Finally, the method was validated through simulation and experiments.
 
Keywords
Speaker
Cong Bai
School of Electrical Engineering, Xi

Zhonggang Yin

Dongsheng Yuan

Yanqing Zhang
Xi

Yangyang Cui

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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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