永磁同步电动机智能自适应积分反推控制  

Adaptive Integral Backstepping Control for Permanent Magnet Synchronous Motor

作　　者：魏惠芳[1] WEI Hui-fang(Department of Information and Control Engineering,Shenyang Urban Construction University,Shenyang 110167,China)

机构地区：[1]沈阳城市建设学院信息与控制工程系,沈阳110167

出　　处：《组合机床与自动化加工技术》2022年第6期101-104,109,共5页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：辽宁省教育厅科学研究经费项目(LJKX202014)。

摘　　要：为提高永磁同步电动机(permanent magnet synchronous motor,PMSM)系统的控制性能,提出基于小波模糊神经网络(wavalet fuzzy neural network,WFNN)的智能自适应积分反推控制方法。设计了自适应积分反推控制提高系统在参数变化和外部扰动下的鲁棒性,保证位置跟踪精度。由于不确定性值难以估计,因此利用WFNN在线估计,减小不确定性的影响。再验证控制器的有效性,结果表明该方法能够有效克服不确定性对系统的影响,使PMSM系统具有较高的跟踪精度和较强的抗干扰能力。In order to improve the tracking performance and robustness of permanent magnet synchronous motor(PMSM)system,an intelligent adaptive integral backstepping control method based on wavelet fuzzy neural network(WFNN)is proposed.Firstly,an adaptive integral backstepping control is designed to improve the robustness of the system under parameter changes and external disturbances and ensure the position tracking accuracy.Because the value of the uncertainty is difficult to estimate,WFNN is used to estimate it online,so as to reduce the impact of uncertainty.Finally,the effectiveness of the controller is verified.The results show that this method can effectively overcome the influence of parameter change and external disturbance on the system,and make the PMSM system have high tracking accuracy and strong anti-interference ability.

关 键 词：永磁同步电机 智能自适应积分反推控制 小波模糊神经网络 跟踪精度 

分 类 号：TH165[机械工程—机械制造及自动化] TG659[金属学及工艺—金属切削加工及机床]