桂林电子科技大学学报2012，Vol.32Issue(2)：105-108,4.
基于小波神经网络的永磁同步直线电机自适应逆控制
An adaptive inverse control method for PMLSM based on wavelet neural network
黄深根 1徐小平2
作者信息
- 1. 桂林电子科技大学 计算机科学与工程学院,广西 桂林 541004
- 2. 中国人民解放军广西军区,南宁 530001
- 折叠
摘要
Abstract
Because permanent magnet linear synchronous motor (PMLSM) is seriously influenced by ripple force and other disturbances, a method of adaptive inverse control based on wavelet neural network was realized combined with a PID control. In which the feedback error learning method was used to avoid obtaining Jacobian information of PMLSM. The simulation results show that the proposed method can effectively improve tracking precision and robustness compared with the PID control and combined feedforward plus PID control. 关键词
永磁同步直线电机/小波神经网络/自适应逆控制Key words
permanent magnet Linear synchronous motor/ wavelet neural network/ adaptive inverse control分类
信息技术与安全科学引用本文复制引用
黄深根,徐小平..基于小波神经网络的永磁同步直线电机自适应逆控制[J].桂林电子科技大学学报,2012,32(2):105-108,4.
