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基于磁链在线辨识的异步电机超螺旋滑模控制

谢国超 段纳 万昌晖 臧航

自动化学报2025,Vol.51Issue(5):1092-1102,11.
自动化学报2025,Vol.51Issue(5):1092-1102,11.DOI:10.16383/j.aas.c240526

基于磁链在线辨识的异步电机超螺旋滑模控制

Super-twisting Sliding Mode Control for Asynchronous Motor Based on Flux Online Identification

谢国超 1段纳 1万昌晖 1臧航2

作者信息

  • 1. 江苏师范大学电气工程及自动化学院 徐州 221116
  • 2. 无锡信捷电气股份有限公司 无锡 214072
  • 折叠

摘要

Abstract

The problem of super-twisting sliding mode control for asynchronous motor based on flux online identi-fication is studied.In order to enhance the dynamic response performance of the system,an improved super-twist-ing sliding mode speed controller is designed for the asynchronous motor.To suppress the system chattering prob-lem caused by the high-frequency switching of the sign function in the algorithm,a variable exponent switching function is constructed.Furthermore,considering the influence of the inertia delay on the rotor flux,a flux online observer is designed to identify the rotor flux amplitude,which boosts the control accuracy and parameter robust-ness of the system.Numerical simulations and experimental results verify the feasibility and effectiveness of the pro-posed algorithm.

关键词

异步电机/超螺旋滑模算法/可变指数切换函数/电压模型/磁链在线观测器

Key words

Asynchronous motor/super-twisting sliding mode algorithm/variable exponent switching function/voltage model/flux online observer

引用本文复制引用

谢国超,段纳,万昌晖,臧航..基于磁链在线辨识的异步电机超螺旋滑模控制[J].自动化学报,2025,51(5):1092-1102,11.

基金项目

国家自然科学基金(62173166),江苏省研究生科研与实践创新计划(KYCX24_3061)资助Supported by National Natural Science Foundation of China(62173166)and Jiangsu Province Postgraduate Research and Practice Innovation Programme(KYCX24_3061) (62173166)

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