电气传动2009，Vol.39Issue(11)：48-51,4.
基于神经网络推力观测器的永磁直线电机滑模控制
Sliding Mode Control Bused on Neural Network Thrust Observer for PMLSM
付子义 1李华群 1王振锋2
作者信息
- 1. 河南理工大学,计算机科学与技术学院,河南,焦作,454003
- 2. 河南理工大学能源科学与工程学院,河南,焦作,454003
- 折叠
摘要
Abstract
Aiming at the permanent magnet linear synchronous motor servo system is vulnerable to load disturbance, parameters change and thrust fluctuations, the sliding mode control based on neural network thrust observer instead of the regular proportion integration(PI) was indicated to ensure that it achieves a more precise speed control with a wide range of speed. Sliding mode control regular adopts the equivalent control way, together with the load disturbance feed-forward compensation, and it is consist of linear observer and neural network observer. Experiment and simulation results show that it can improve the tracking perform-ance, and enhance the stability and robustness of parameter perturbation and external disturbances.关键词
永磁直线同步电机/推力观测器/滑模控制/神经网络Key words
permanent magnet linear synchronous motor/thrust observer/sliding mode control/neural network分类
信息技术与安全科学引用本文复制引用
付子义,李华群,王振锋..基于神经网络推力观测器的永磁直线电机滑模控制[J].电气传动,2009,39(11):48-51,4.
