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

作　　者：黄深根[1,2] 徐小平[1] 

机构地区：[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

出　　处：《桂林电子科技大学学报》2012年第2期105-108,共4页Journal of Guilin University of Electronic Technology

摘　　要：针对永磁同步直线电机(PMLSM)受推力波动等干扰,采用反馈误差学习法,利用小波神经网络在线得到PMLSM的逆模型,避免了求取PMLSM的Jacobian信息,结合PID反馈控制,实现了PMLSM的小波神经网络自适应逆控制。仿真结果表明,与PID控制以及复合前馈PID控制方法相比,所提出的方法有效提高了PMLSM系统的跟踪性与鲁棒性。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 

分 类 号：TM351[电气工程—电机]