永磁同步电机的神经网络左右逆协同解耦控制  

Decoupling Control of Cooperative Left and Right ANN Inversions for Permanent Magnet Synchronous Motor

作　　者：张泠[1] 于霜[1,2] 丁力[2] 

机构地区：[1]苏州工业职业技术学院机电工程系,江苏苏州215104 [2]南京航空航天大学机电学院,南京210016

出　　处：《控制工程》2016年第10期1482-1485,共4页Control Engineering of China

基　　金：江苏省自然科学基金面上研究项目(BK20161228)

摘　　要：为实现永磁同步电机高性能控制,提出一种基于神经网络左右逆协同的解耦控制方法。该方法通过对永磁同步电机的数学模型进行可逆性分析,得到左右逆系统模型。利用右逆系统实现永磁同步电机的线性化解耦,左逆系统实现不可测变量磁链的获取,然后将左逆与右逆系统相结合,构造左右逆协同控制器,并对电机进行线性闭环控制器的设计,实现磁链和转速的解耦控制。数值仿真结果表明,所提方法对磁链和转速具有较高的解耦控制性能,对电机参数和负载的变化具有良好的鲁棒性。To realize the high performance control of permanent magnet synchronous motor(PMSM), a novel decoupling control method based on a cooperative left and right ANN inversions control method(CLRICM) for PMSM is proposed. The analytical inverse system of PMSM is obtained by analyzing the reversibility of the mathematical model. It uses the right inversion to linearize the PMSM system and the left inversion to obtain the flux of directly immeasurable variables, then combines the left inversion with the right inversion to construct the CLRICM controller and realize the closed-loop control of flux and speed through designing linear closed-loop controller. Simulations show that the proposed method has higher decoupling control performance of flux and speed and better robustness to changes of motor parameters and loads.

关 键 词：永磁同步电机 逆系统 协同控制方法 解耦控制 鲁棒性 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]