基于自适应神经网络的PMLSM速度控制研究

针对永磁直线同步电机(PMLSM)直接驱动系统的非线性与电机参数时变、易受扰动的特性,提出一种基于BP神经网络的自适应神经网络速度控制器.该控制器由一个传统的PID位置控制器、神经网络控制器(NNC)和神经网络辨识器(NNM)组成.仿真结果表明,当突加负载扰动或参数突变时,系统具有较好的动态性能和较强的鲁棒性,能够满足工业场合高精度、微进给的需求.

Design of the Speed Controller for PMLSM Based on Adaptive Neural Network

An adaptive neural network control system was proposed to control the speed of the mover of a permanent magnet linear synchronous motor(PMLSM) servo drive system considering nonlinear and parameters time-variation.The controller is composed of a conventional PID position controller,a neural network controller(NNC) and a neural network module(NNM).The simulation results show that the proposed controller has superior dynamic stability and strong robustness,when the loads or parameters are suddenly increased or decreased,and the drive system can satisfy the need of high precision and micro-feed.