电工技术学报2017，Vol.32Issue(23)：9-15,7.DOI:10.19595/j.cnki.1000-6753.tces.161449
永磁直线同步电机伺服系统的分段变论域模糊迭代学习控制
Segmented Variable Universe Fuzzy Iterative Learning Control for Permanent Magnet Linear Synchronous Motor Servo System
摘要
Abstract
For permanent magnet linear synchronous motor (PMLSM) to perform repetitive tasks,in the process of iterative learning,it is vulnerable to the influence of the non repetitive disturbances such as the load disturbances,parameter variation and so on.It is difficult to achieve high performance tracking control.The segmented variable universe fuzzy iterative learning control (ILC) is proposed which combines ILC with variable universe fuzzy control.In the period of larger error,the variable universe fuzzy control is used to change the learning gain of ILC in real time,and intelligently adjust the domain of fuzzy control,in order to restrain the influence of uncertain factors on the system and improve the control precision.In the period of smaller error,PD type ILC is used to make the learning gain stable and the position error can be reduced further.The experimental results show that the control method can effectively speed up the convergence rate,improve the position tracking accuracy,and enhance the robustness of the system.关键词
永磁直线同步电机/迭代学习控制/分段变论域模糊控制/跟踪精度Key words
Permanent magnet linear synchronous motor/iterative learning control/segmented variable universe fuzzy control/tracking accuracy分类
信息技术与安全科学引用本文复制引用
赵希梅,金鸿雁..永磁直线同步电机伺服系统的分段变论域模糊迭代学习控制[J].电工技术学报,2017,32(23):9-15,7.基金项目
国家自然科学基金项目(51175349)和辽宁省自然科学基金项目(20170540677)资助. （51175349）
