基于PSO的自适应反推永磁同步电动机DTC控制方法研究  

Research on Adaptive Backstepping DTC of Permanent Magnet Synchronous Motor Based on Particle Swarm Optimization

作　　者：徐艳平[1] 张保程 周钦[1] 马灵芝[1] 

机构地区：[1]西安理工大学,西安710048

出　　处：《微特电机》2017年第1期62-66,共5页Small & Special Electrical Machines

基　　金：国家自然科学基金项目(51107098)

摘　　要：针对传统直接转矩控制(DTC)中的磁链转矩脉动大、逆变器开关频率不恒定的缺点,提出了基于微粒群优化(PSO)的自适应反推直接转矩控制方法,该方法中根据永磁同步电动机(PMSM)直接转矩控制原理设计了磁链转矩自适应反推控制器,并针对控制器中参数较多、不易调节的问题,引入微粒群优化算法优化自适应反推控制器中的参数。仿真结果证明了自适应反推控制器参数可通过微粒群优化方法得到,与传统直接转矩控制方法相比,基于PSO的自适应反推直接转矩控制方法可明显减小磁链和转矩脉动,使逆变器具有恒定的开关频率。Because traditional direct torque control（ DTC） method has disadvantages of large flux linkage and torque ripples and has inconstant switching frequency,an adaptive backstepping DTC method based on particle swarm optimization（ PSO） algorithm was proposed. In this method an adaptive backstepping controller for flux linkage and torque was designed according to DTC principles of permanent magnet synchronous motor（ PMSM） and the PSO algorithm was used to optimize adaptive backstepping controller parameters in order to adjust the controller parameters. Simulation results show that controller parameters could be optimized through the PSO,and compared to the traditional DTC,the proposed method could decrease flux linkage and torque ripples largely and make the inverter have constant switching frequency.

关 键 词：永磁同步电动机 自适应反推控制 微粒群优化算法 直接转矩控制 

分 类 号：TM341[电气工程—电机] TM351