基于变论域模糊迭代学习的直线电机位置控制  

Position Control of PMLSM Based on Variable Universe Fuzzy Iterative Learning

作　　者：张艺镪 张涛[2] 李勇[1] 张国鹏 王淏 张华良[2] Zhang Yiqiang;Zhang Tao;Li Yong;Zhang Guopeng;Wang Hao;Zhang Hualiang(School of Electrical Engineering,Shenyang University of Technology,Shenyang 110020,China;Key Laboratory of Networked Control Systems,Shenyang Institute of Automation Chinese Academy of Sciences,Shenyang 110016,China;School of Artificial Intelligence,Shenyang University of Technology,Shenyang 110020,China)

机构地区：[1]沈阳工业大学电气工程学院,沈阳110020 [2]中国科学院沈阳自动化研究所工业控制网络与系统研究室,沈阳110016 [3]沈阳工业大学人工智能学院,沈阳110020

出　　处：《动力学与控制学报》2024年第12期45-53,共9页Journal of Dynamics and Control

基　　金：国家重点研发计划项目(2022YFB3303902);国家自然科学基金资助项目(91648204)。

摘　　要：为提升永磁同步直线电机的位置跟踪精度,提出一种带有自适应遗忘因子的变论域模糊迭代学习控制策略,应用于电机控制系统.该控制策略集成了模糊逻辑、迭代学习和自适应遗忘因子的优点,能够有效提升控制系统的跟踪精度.变论域模糊控制器通过伸缩因子动态改变论域大小,设计二级模糊控制器用于生成伸缩因子.采用自适应遗忘因子减小迭代学习周期切换时产生的位置误差,设计平滑切换策略和缓步策略改进遗忘因子的自适应率,进一步减小周期切换时的位置误差.结果表明,该控制策略可以有效提高电机的位置跟踪精度,加快控制系统的收敛速度.To improve the position tracking accuracy of permanent magnet synchronous linear motor,a variable universe fuzzy iterative learning control strategy with adaptive forgetting factor is proposed and applied to the motor control system.The control strategy integrates the advantages of fuzzy logic,iterative learning and adaptive forgetting factor,which can effectively improve the tracking accuracy of the control system.Variable universe fuzzy controller dynamically changes the size of the universe by scaling factor,and a two-level fuzzy controller is designed to generate scaling factor.Adaptive forgetting factor is used to reduce the position error during iterative learning cycle switching.Smooth switching strategy and slow stepping strategy are designed to improve the adaptive rate of forgetting factor and further reduce the position error during cyclic switching.The results show that this control method can effectively improve the position tracking accuracy and accelerate the convergence speed.

关 键 词：永磁同步直线电机 变论域模糊控制 伸缩因子 迭代学习控制 自适应遗忘因子 

分 类 号：TM351[电气工程—电机]