[Oral Presentation]Robust Deadbeat Predictive Current Control Based on Adaptive Internal Model Disturbance Observer for PMLSM Drives

IMPORTANT DATES

Digest Submission Opens: Oct. 30, 2022
Digest Submission Deadline: Mar. 20, 2023
Acceptance Notification: Apr. 28, 2023
Full Paper Submission Deadline: May. 20, 2023

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：516 Oral Presentation

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

Duration：20min

Session：[S] Oral Session » [S4] Oral 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

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