工矿自动化2009，Vol.35Issue(7)：72-75,4.
基于神经网络的PID自整定控制系统
PID Self-tuning Control System Based on Neural Network
摘要
Abstract
The paper introduced a PID self-tuning control system which was established with neural network technology,gave structure of the system and analyzed structures and learning algorithms of BP neural network and RBF neural network in details. The system adopts three-layer BP neural network and its outputs are parameters of PID controller. It identifies controlled objects through variable-structure RBF neural network, provides gotten gradient information of output to input to BP neural network, and BP neural network optimizes parameters of PID controller according to the information. The simulation result showed that to nonlinear system whose parameter perturbation is larger, the system has fast convergence speed, strong ability of dynamic response, good stability and stronger robustness and adaptability.关键词
自整定控制系统/神经网络/PID控制/BP神经网络/RBF神经网络/变结构神经网络Key words
self-tuning control system/neural network/PID control/BP neural network/RBF neural network/variable-structure neural network分类
信息技术与安全科学引用本文复制引用
付华,李大志..基于神经网络的PID自整定控制系统[J].工矿自动化,2009,35(7):72-75,4.基金项目
国家自然科学基金项目(50874059) （50874059）
