基于铁损电阻辨识的PMSM最小损耗反推控制方法  

Minimum Loss Backstepping Control Method Based on Identification of Iron Loss Resistance for PMSM

作　　者：郝娜[1] 马永光[2] 詹志坤[3] HAO Na;MA Yongguang;ZHAN Zhikun(Department of Electrical and Electronic Engineering,Shijiazhuang University of Applied Technology,Shijiazhuang 050081,Hebei,China;Department of Automation,North China Electric Power University,Baoding 071003,Hebei,China;Key Lab of Industrial Computer Control Engineering of Heibei Province,Yanshan University,Qinhuangdao 066004,Heibei,China)

机构地区：[1]石家庄职业技术学院电气与电子工程系,河北石家庄050081 [2]华北电力大学自动化系,河北保定071003 [3]燕山大学工业计算机控制工程河北省重点实验室,河北秦皇岛066004

出　　处：《电气传动》2019年第10期3-8,共6页Electric Drive

基　　金：国家自然科学基金青年科学基金资助项目(61503322)

摘　　要：随运行状态不断变化的铁心损耗影响着永磁同步电机(PMSM)的运行效率。为实现PMSM最小损耗控制,提出了基于自适应神经模糊推理系统(ANFIS)辨识铁损电阻的最小损耗反推控制方法。为提升铁损抑制效果,将辨识得到的铁损电阻引入控制器中。实验结果表明,ANFIS能快速、准确地辨识铁损电阻;计及铁损电阻的PMSM最小损耗反推控制方法具有良好的控制性能,能够更加精确快速地跟踪参考信号,明显提高了运行效率。The operation efficiency of permanent magnet synchronous motor(PMSM)is affected by the changing core loss with the running state.In order to realize the minimum loss control of PMSM,a minimum loss backstepping control method based on adaptive neuro fuzzy inference system(ANFIS)to identify the iron loss resistance was proposed.In order to improve the inhibition effect of iron loss,the identified iron loss resistance was taken into the controller.The experimental results show that ANFIS can quickly and accurately identify the iron loss resistance,minimum loss of the backstepping control method considering iron loss resistance has good control performance,and it more quickly and accurately track the reference signal,significantly improve the efficiency.

关 键 词：永磁同步电机 铁损电阻 自适应神经模糊推理系统 最小损耗 反推控制 

分 类 号：TM933[电气工程—电力电子与电力传动]