基于FOC神经网络的PMSM控制系统  

The PMSM Control System Based on the FOC Neural Network

作　　者：于永 刘刚[2] 魏琳 YU Yong;LIU Gang;WEI Lin(zhengzhou Business Technicians Institute,Xingyang 450121,China;School of Information Science and Engineering/Henan University of Technology,Zhengzhou 450001,China;Department of Electrical Engineering/Henan College of Industry,Jiaozuo 454003,China)

机构地区：[1]郑州商业技师学院,河南荥阳450121 [2]河南工业大学信息科学与工程学院,河南郑州454001 [3]河南工业和信息化职业学院电气工程系,河南焦作454003

出　　处：《山东农业大学学报（自然科学版）》2020年第5期884-887,共4页Journal of Shandong Agricultural University：Natural Science Edition

基　　金：国家自然科学基金:永磁同步电机非线性自适应逆解耦控制系统研究(61174056)。

摘　　要：为了克服电机参数变化和负载扰动的不确定性对永磁同步电机控制系统性能造成不利影响,本文研究了一种基于人工神经网络的表面贴装式PMSM驱动磁场定向控制,采用改进的Levenberg-Marquardt-MLM算法对神经网络进行训练,设计了一种新的最大每安培转矩和弱磁方法。通过试验验证了该控制方法的有效性。In order to eliminate the influence of uncertainty of parameter variations and load disturbance on the performance of PMSM based on disturbance suppression,an advanced control method is presented that is an artificial neural network based field oriented control for a PMSM.The neural network was trained by using the modified Levenberg-Marquardt MLM algorithm.The novel Maximum Torque per Ampere and flux weakening approach are undertaken for electric vehicle application.Experimental results show that the strategies improve the dynamic performance of the system greatly,and strengthen the robustness and anti-disturbance performance.

关 键 词：PMSM 神经网络控制 非线性控制 

分 类 号：TM341[电气工程—电机]