PID-like Neural Network Nonlinear Adaptive Control

被引:0
|
作者
Liang Yan-Yang [1 ]
Cong Shuang [2 ]
Liu Hong-Wei [1 ]
机构
[1] Southwest Univ Sci & Technol, Dept Informat Engn, Mianyang 621010, Peoples R China
[2] Univ Sci & Technol China, Hefei 230026, Peoples R China
关键词
PID; Neural Network; Adaptive Control; Virtual Prototyping Technology; Triple Inverted Pendulum;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A PID-like neural network nonlinear adaptive controller is proposed with the combination of neural network principle and PID controller. The adaptive update law of PID parameters is obtained by resilient back-propagation algorithm with sign, and then the value of learning rate is derived applying discrete Lyapunov direct method to insure control system stability. Finally, based on the simulation software system constructed by MATLAB and ADAMS, the proposed controller is applied to the stabilizing control of triple inverted pendulum.
引用
收藏
页码:2144 / 2148
页数:5
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