单神经元自适应PID控制器设计方法研究

Research on Design of Single Neural Element Self-Adaptive PID Controller

本文主要介绍了采用有监督Hebb学习算法的单神经元自适应PID控制器以及采用以输出误差平方为性能指标的单神经元自适应PID控制器的控制算法及其仿真实现,总结出了两种基于单神经元的自适应PID控制器的控制特点及其参数设计规律。

This paper introduced control algorithm of single neural element Serf-Adaptive PID controller in supervisory Hebb algorithm and single neural element Self-Adaptive PID controller adopted performance index based upon the square of error and their simulation realizing. Control characteristics and laws of Parameter design of two kinds of single neural element Serf-Adaptive PID controllers are concluded.