趋近律参数优化的永磁同步电动机模糊滑模控制  

Research on Fuzzy Sliding Mode Control of PMSM Based on Reaching Law Parameters Optimization

作　　者：姚江云[1] 吴方圆[2] 覃溪[1] 

机构地区：[1]广西科技大学鹿山学院,柳州545616 [2]广西科学技术情报研究所,南宁530022

出　　处：《微特电机》2016年第5期56-59,共4页Small & Special Electrical Machines

基　　金：广西科技大学鹿山学院自然科学基金项目(2013-LSZK08)

摘　　要：研究了一种趋近律参数优化的模糊滑模控制方法,应用到永磁同步电动机转速控制中。采用神经网络优化趋近律参数,提取趋近律参数的最优曲线,在此基础上设计了滑模变结构控制器实时修正趋近律参数,最后应用到PMSM转速控制中。仿真及实验结果表明,该方法具有良好的静态、动态特性和鲁棒性。The fuzzy sliding mode variable structure control method based on reaching law parameters optimization was researched and applied to the speed control drive system in double closed loop of PMSM. First,the reaching law parameters was optimized by neural network,and extract the optimal parameters curve was extracted of reaching law. A fuzzy sliding mode controller based on the reaching law parameters optimization was designed,and applied to PMSM speed control system. The simulation results show that speed control system has good static,dynamic characteristics and anti- interference ability.

关 键 词：永磁同步电动机 趋近律参数优化 滑模控制 转速控制 

分 类 号：TM341[电气工程—电机] TM351