摘要
在传统的滑模观测器(SMO)下的永磁同步电机(PMSM)无位置传感器控制系统中存在着一些问题,如抖振较强,实际转速与预期转速差值较大并且有波动等情况。针对这些问题,采用滑模控制中的一般趋近律代替传统滑模观测器中的等速趋近律,并且用光滑的Sigmoid函数替代传统的符号函数,同时通过模糊控制系统对指数趋近律中的参数进行自适应调节,对表贴式PMSM的无位置传感器控制中产生的抖振进行抑制,并且提高SMO的观测精度。利用Lyapunov第二方法对该方法进行稳定性判断,验证该方法的稳定性。使用MATLAB/Simulink搭建基于滑模观测器的PMSM控制系统仿真模型,将该仿真结果与传统的滑模观测器的仿真结果进行比较分析。研究结果显示,新型的滑模观测器依旧能够快速地追踪转子的位置,同时具有更加良好的稳定性。
There are some problems in the sensorless control system of permanent magnet synchronous motor(PMSM)using traditional sliding mode observer(SMO),such as strong chattering,large difference between the actual speed and the expected speed,and fluctuations.In response to these problems,the general approach law was used in the sliding mode control instead of the constant rate reaching law of traditional sliding mode observer,and replaced the traditional signum function with a smooth Sigmoid function.At the same time,the parameters in the exponential reaching law were adaptively adjusted by the fuzzy control system,suppressed the chattering generated in sensorless control of surface-mounted PMSM,and improved the observation accuracy of SMO.The stability of method is judged and verified by using Lyapunov second method.The simulation model of PMSM control system based on sliding mode observer is built by MATLAB/Simulink simulation platform,and the simulation results were compared with those of traditional sliding mode observer.According to the research results,it can be found that the new sliding mode observer can track the position of the rotor more quickly and has better stability.
作者
纪明阳
孙志锋
马风力
黄颖
JI Mingyang;SUN Zhifeng;MA Fengli;HUANG Ying(College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China;Hangzhou Lichao Intelligent Technology Co.,Ltd.,Hangzhou 311200,China)
出处
《组合机床与自动化加工技术》
北大核心
2024年第1期82-87,共6页
Modular Machine Tool & Automatic Manufacturing Technique
基金
宁波市现代农业专项项目(2022Z176)。
关键词
永磁同步电机
滑模观测器
趋近律
切换函数
模糊控制系统
permanent magnet synchronous motor
sliding mode observer
approach law
switch function
fuzzy control system
作者简介
纪明阳(1996-),男,硕士研究生,研究方向为电机控制,(E-mail)22110041@zju.edu.cn;通信作者:孙志锋(1964-),男,副教授,硕士,研究方向为智能控制、微电网技术、大数据与人工智能等,(E-mail)eeszf@zju.edu.cn。
