基于快速趋近率SMC的PMSM无速度传感器矢量控制研究  

Speed sensor-less vector control study of PMSM based on a fast reaching rate SMC

作　　者：廉志强 LIAN Zhiqiang(School of Electrical Engineering,Heilongjiang University of Science and Technology,Harbin 150022,China)

机构地区：[1]黑龙江科技大学电气与控制工程学院,黑龙江哈尔滨150022

出　　处：《电气应用》2021年第9期8-14,共7页Electrotechnical Application

摘　　要：扩展卡尔曼滤波器(EKF)和脉振高频电压注入法在永磁同步电动机(PMSM)的无速度传感器矢量控制系统中有良好的估计效果,但是传统PI速度环在无速度传感器矢量控制系统中动态性能不佳。针对此情况,应用快速趋近率滑摸控制(SMC),并通过遗传算法确定其参数,在PMSM无速度传感器矢量控制系统中验证其估计效果,并且和传统PI以及指数趋近率SMC进行比较仿真。仿真结果表明,SMC具有更好的动态性能,且新型趋近率SMC速度环系统超调更小,动态性能更好。Extended Kalman filter(EKF)and pulsating high frequency voltage injection had good estimation effect in speed sensor-less vector control system of permanent magnet synchronous motor(PMSM),however,the traditional PI speed loop had poor dynamic performance in sensor-less vector control system.In view of this situation,the fast rate sliding mode control(SMC)whose parameters are determined by genetic algorithm is applied to verify the estimation effect in PMSM speed sensor-less vector control system,The simulation results are compared with traditional PI and SMC.The simulation results show that the SMC has better dynamic performance,and based on the new approach rate,SMC has smaller overshoot and better dynamic performance.

关 键 词：永磁同步电动机 扩展卡尔曼滤波器 脉振高频电压注入 滑摸控制 虚拟空间矢量法 遗传算法 

分 类 号：TM341[电气工程—电机]