基于智能分数阶互补滑模的PMLSM直接推力控制

微特电机 ›› 2022, Vol. 50 ›› Issue (4): 46-51.

基于智能分数阶互补滑模的PMLSM直接推力控制

苗雨, 赵希梅

沈阳工业大学电气工程学院,沈阳 110870

收稿日期:2022-01-11 出版日期:2022-04-28 发布日期:2022-05-06
作者简介:苗雨(1997—),男,硕士研究生,研究方向为电机控制、智能控制。
基金资助:
辽宁省自然科学基金计划重点项目(20170540677)

Direct Thrust Force Control Based on Intelligent Fractional Complementary Sliding Mode for PMLSM

MIAO Yu, ZHAO Ximei

School of Electrical Engineering, Shenyang University of Technology,Shenyang 110870, China

Received:2022-01-11 Online:2022-04-28 Published:2022-05-06

摘要/Abstract

摘要： 为提高永磁直线同步电机直接推力控制系统的速度跟踪能力,提出一种基于径向基函数(RBF)神经网络的智能分数阶互补滑模控制(IFOCSMC)方法。该方法结合分数阶微积分算子的滤波特性和互补滑模控制的强收敛性,削弱滑模控制的抖振问题,抑制直接推力控制系统中固有的推力脉动,提高系统的速度跟踪精度。再利用RBF神经网络对系统受到的扰动进行在线补偿,进一步提高系统的动态响应能力和抗干扰能力。通过Lyapunov稳定性判据验证了IFOCSMC方法的稳定性,仿真结果表明,该方法有效地抑制了抖振问题,减小了推力脉动,提高了系统的速度跟踪性能。

关键词: 永磁直线同步电机, 直接推力控制, 分数阶互补滑模控制, 径向基函数神经网络

Abstract: In order to improve the speed tracking ability of direct thrust force control system of permanent magnet linear synchronous motor(PMLSM), an intelligent fractional complementary sliding mode control (IFOCSMC) method based on radial basis function (RBF) neural network was proposed. The method combined the filtering characteristics of fractional calculus operator and the strong convergence of complementary sliding mode control, weakened the chattering problem of sliding mode control, suppressed the inherent thrust pulsation in direct thrust force control system, and improved speed tracking accuracy of the system. RBF neural network was used to compensate the disturbance on-line, so as to further improve the dynamic response ability and anti-interference ability of the system. The stability of IFOCSMC method was verified by Lyapunov stability criterion. The simulation results show that the method can effectively suppress the chattering problem, reduce the thrust pulsation and improve the speed tracking performance of the system.

Key words: permanent magnet linear synchronous motor(PMLSM), direct thrust force control(DTFC), fractional complementary sliding mode control(FOCSMC), RBF neural network

中图分类号:

苗雨, 赵希梅. 基于智能分数阶互补滑模的PMLSM直接推力控制[J]. 微特电机, 2022, 50(4): 46-51.

MIAO Yu, ZHAO Ximei. Direct Thrust Force Control Based on Intelligent Fractional Complementary Sliding Mode for PMLSM[J]. Small & Special Electrical Machines, 2022, 50(4): 46-51.

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