首页 | 官方网站   微博 | 高级检索  
     

基于神经网络的模糊自适应PID控制方法
引用本文:李卓,萧德云,等.基于神经网络的模糊自适应PID控制方法[J].控制与决策,1996,11(3):340-345.
作者姓名:李卓  萧德云
作者单位:清华大学自动化系
摘    要:提出一种基于BP神经网络的模糊自适应PID控制器。该控制器综合模糊控制、神经网络与PID调节各自的优点,既具有模糊控制的简单和有效的非线性控制作用,又具有神经网络的学习和适应能力,同时具备PID控制的广泛适应性,仿真实验表明该控制器对模型、环境具有较好的适应能力和较强的鲁棒性。

关 键 词:神经网络  模糊控制  PID控制  自适应控制

A Fuzzy Adaptive PID Controller Based on Neural Network
Li Zhuo, Xiao Deyun, He Shizhong.A Fuzzy Adaptive PID Controller Based on Neural Network[J].Control and Decision,1996,11(3):340-345.
Authors:Li Zhuo  Xiao Deyun  He Shizhong
Affiliation:Tsinghua University
Abstract:fuzzy adaptive PID controller based on BP neural network is proposed in this paper. It is a result of the comprehensive combination of fuzzy control, neural network, and PID controller. It possesses not only the simplicity and the nonlinear control ability of fuzzy control, but also the learning and adaptive functions by using neural network. Furthermore. the controller is as widely adaptive as PID regulation. We have thus proven that this controller has adaptability and robustness to environments.
Keywords:neural network  fuzzy control  adaptive PID control
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号