摘要
本文应用人工神经网络的原理 ,提出一种新的神经网络的智能 PID控制器 .仿真结果表明 ,此 NNPID控制器对线性、弱非线性时不变系统比传统的 PID有好的控制效果 ;对中等非线性系统和含有噪声扰动的线性知非线性系统有单纯 PID不能达到的控制效果 .
Guided by the principle of artificial neural network,a new kind of intelligence PID controller based on artificial neural network is devised.Emulation results show that the NNPID controller has better control effect for linear and non linear time fixedness systems than traditional PID controllers.Moreover,this kind of controller manifests a control effect that could not be produced by plain PIDs on the middling non linear system,or on the linear or non linear system with noise disturbance.
出处
《内蒙古工业大学学报（自然科学版）》
2000年第3期234-237,共4页
Journal of Inner Mongolia University of Technology：Natural Science Edition
基金
内蒙古自然科学基金资助项目
关键词
PID控制
误差反传学习
神经网络
BP算法
PID control
study of error reverse transfer
neural network
BP arithmetic
