控制理论与应用2025，Vol.42Issue(7)：1294-1302,9.DOI:10.7641/CTA.2024.30115
基于状态预测的永磁同步电机自适应扰动抑制方法
A state prediction based adaptive disturbance rejection method for permanent magnet synchronous motors
摘要
Abstract
In this paper,a state prediction based adaptive disturbance rejection method is proposed for addressing the uncertainty disturbance and input time-delay problems in the permanent magnet synchronous motors(PMSM),by adopting the MRAC technique.This method can ensure the closed-loop system stabilization and asymptotic state tracking perfor-mance under parameter uncertainty,and achieve effective suppression of unknown disturbances and accurate compensation of input time-delay.Firstly,the mathematical model of the permanent magnet synchronous motors current control system with input time-delay and unknown disturbance is established.Then,a regular disturbance rejection design and a state prediction based disturbance rejection design are respectively studied for the PMSM current control system under nominal condition.Furthermore,an adaptive disturbance rejection controller based on state prediction is studied for the PMSM current control system with unknown parameters.The adaptive control method designed in this paper enables the stabiliza-tion of a closed-loop system.The asymptotic tracking of the system state to the desired reference system can be achieved when the system is affected by unknown disturbances and input time delay.Finally,simulation results have verified the effectiveness of the state prediction based adaptive compensation strategy proposed in this paper.关键词
永磁同步电机/状态预测/自适应控制/状态跟踪/扰动抑制Key words
permanent magnet synchronous motor/state prediction/adaptive control/state tracking/time-delay com-pensation/disturbance rejection引用本文复制引用
文利燕,任秋萍,姜斌,张卓然,张伟秋..基于状态预测的永磁同步电机自适应扰动抑制方法[J].控制理论与应用,2025,42(7):1294-1302,9.基金项目
国家重点研发计划项目(2021YF3001300)资助.Supported by the National Key Research and Development Program(2021YF3001300). （2021YF3001300）
