摘要
基于神经网络模型参考自适应控制策略 ,提出了一种利用模型参考自适应控制 (MRAC)的方法对永磁交流伺服系统进行智能控制。系统可以在线进行参数辨识和对网络教师值进行修正。仿真研究表明 ,该系统具有较强的鲁棒性 ,与传统的 PID控制比较 ,优点明显。
An AI control scheme for permanent magnet AC servo system with ANN/MRAC based on model refernece adaptive neural network control is proposed in this paper. In this system, parameters may be identified and the neural networks value may be modified with on line technique. The simulation shows that this system has strong robustness and obvious advantages compared with PID control.
出处
《解放军理工大学学报（自然科学版）》
EI
2000年第6期66-69,共4页
Journal of PLA University of Science and Technology(Natural Science Edition)
