PMSM基于负载转矩观测器GA-EKF方法  

GA-EKF Method of PMSM Based on Load Disturbance Observer

作　　者：余致廷[1] 邹薇[1] 杨婷[1] 李强强[1] 

机构地区：[1]湖南大学,电气与信息工程学院,湖南长沙410082

出　　处：《电力电子技术》2016年第10期76-79,共4页Power Electronics

基　　金：国家自然科学基金(61203207);国家863计划(2012AA111004)~~

摘　　要：为了构成永磁同步电机(PMSM)电流、转速矢量双闭环系统,提出用算法扩展卡尔曼滤波(EKF)来估计PMSM的转子位置和转速。针对传统EKF参数的问题,提出一种基于负载转矩观测器的PMSM遗传算法(GA)-EKF位置(速度)辨识方法。其中,用GA对EKF协方差的选取过程进行优化,同时将负载状态观测器观测出的负载转矩作为负载转矩补偿输入,同速度调节器的输出一起作为电流调节器的控制变量。仿真及实验结果表明所提新方法缩短了系统协方差参数的选取时间,提高了转速辨识精度和抗负载扰动能力。The extended Kalman filter（EKF） algorithm is adopted to estimate the speed and rotor position of the per- manent magnet synchronous motor（PMSM）, so as to constitute speed and current double closed-loop vector control system.The genetic algorithm（GA）-EKF position and speed identification is proposed to solve the problems of traditional EKF method.The GA is used to optimize the selection process of EKF covariances.ln the same time, the load torque observed by the designed load torque observer is used as compensation input, together with the speed regulator output,of the current regulator control variables.Simulation and experimental results show that,the proposed control strategy can shorten the system covariance parameters selection time, increase the precision of speed tracking, re- sponse faster and have better anti disturbance ability.

关 键 词：永磁同步电机 扩展卡尔曼滤波 遗传算法 

分 类 号：TM315[电气工程—电机]