摘要
本文在分析传统直流电动机双闭环控制系统性能特点的基础上,利用一种新的神经网络—PID神经网络实施了自学习双闭环控制系统。本文给出了PID神经网络网络的前向和反传算法,给出了实时仿真结果,证明该控制系统具有较好的控制性能。
The conventional double closed loop control system of the DC motors is analyzed and the PID neural network control system is introduced in this paper. The forward and back propagation algorithms of the PID neural network are given and the real time simulation results of the double closed loop PID neural network control system of DC Motors prove that the system has perfect performances.
出处
《机电工程技术》
2005年第11期17-19,共3页
Mechanical & Electrical Engineering Technology
关键词
直流电动调速
双闭环控制系统
神经网络控制
DC motor speed adjusting
double closed loop system
neural network control
