基于参数识别的同步电机滑模控制系统设计  

Design of Synchronous Motor Sliding Mode Control System Based on Parameter Identification

作　　者：金爱娟[1] 尹晨滨 李少龙[1] Jin Aijuan;Yin Chenbin;Li Shaolong(School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学光电信息与计算机工程学院,上海市200093

出　　处：《农业装备与车辆工程》2022年第4期90-94,共5页Agricultural Equipment & Vehicle Engineering

摘　　要：永磁同步电机电阻与电感参数在运行过程中会发生变化,影响滑模控制系统性能。为了减少参数变化带来的影响,进行了电机参数在线辨识研究。对递推最小二乘算法基本原理进行说明,分析固定遗忘因子辨识特性。固定遗忘因子会造成算法稳定性与实时性相互矛盾,因此采用动态遗忘因子进行电机参数在线识别,并将得到的电阻与电感值反馈到滑模观测器中。阐述了滑模观测器及锁相环理论,并在MATLAB/Simulink中搭建模型进行实验仿真,结果表明,参数辨识环节的加入可以有效提高控制系统的性能。The resistance and inductance parameters of the permanent magnet synchronous motor will change during operation,which affects the performance of the sliding mode control system.In order to reduce the impact of parameter changes,this paper conducts a study on motor parameter online identification.Explain the basic principle of the recursive least squares algorithm and analyze the identification characteristics of the fixed forgetting factor.The fixed forgetting factor will cause conflicts between algorithm stability and real-time performance.The dynamic forgetting factor is used to identify the motor parameters online,and the obtained resistance and inductance values are fed back to the sliding mode observer.The theory of sliding mode observer and phase-locked loop is described,and a model is built in MATLAB/Simulink for experimental simulation.The results show that the addition of parameter identification can effectively improve the performance of the control system.

关 键 词：永磁同步电机 递推最小二乘算法 滑模观测器 锁相环 动态遗忘因子 

分 类 号：TM351[电气工程—电机]