基于RBF辨识的单神经元PID调速器设计

A Neuron PID Speed Regulator Based on RBF Identification

本文设计一种基于RBF辨识的单神经元PID调速器,基于有监督的Hebb学习规则的单神经元作为控制器,RBF网络作为辨识器,实现对被控对象的Jacobian信息辨识。仿真结果表明利用所提出的方案设计异步电动机矢量控制系统的速度调节器,当电机参数改变或者受到外部扰动时,系统没有超调,有更快的响应速度和更强的抗扰动能力,具有良好的动态特性。

This paper presents a neuron PID speed regulator based on RBF identification for vector control of an induction motor. The neuron controller is the neuron controller is based on the supervised Hebb study rule and the identification equipment is RBF to identify the Jacobian information of the controlled object. The simulation results show that the system under the occurrence of parameter variations and external disturbance has no overshoot, faster response and better robustness.