Self-tuning PID controller based on immune genetic algorithm and neural network

被引：0

作者：

Huang Yourui ^{[1
]}

Ling Liuyi ^{[1
]}

Zhang Kui ^{[1
]}

机构：

[1] Anhui Univ Sci & Technol, Dept Elect Engn, Huainan 232001, Peoples R China

来源：

Proceedings of the First International Symposium on Test Automation & Instrumentation, Vols 1 - 3 | 2006年

关键词：

immune genetic algorithm; neural networks; self-tuning PID controller;

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 self-tuning PID controller based on Immune genetic algorithm and neural networks is presented. It consists of three parts. In the first part. a group of PID parameters are obtained by means of the Immune genetic algorithm. In the second part. neural networks is used to optimize and adjust the PID parameters on-line by exploiting the nonlinear mapping capabilities of neural networks to model objective e functions. which ensure that the system response has optimal dynamic and steady, state performances. The third part is standard PID controller. with which the object is contrded directly in closed loop. The result of computer simulation shows that the controller has enhanced response speed and robustness The controller can be used to control different kinds of objects and processes.

引用

页码：61 / 66

页数：6