A kind of self-tuning PID controller and its application on marine motion control

被引：0

作者：

He Wenxue ^{[1
]}

Jia Limin ^{[2
]}

Li Diyang ^{[3
]}

Gao Junwei ^{[1
]}

机构：

[1] Qingdao Univ, Acad Automat Engn, Qingdao, Shandong, Peoples R China

[2] Beijing Jiaotong Univ, Sch Traffic & Transportat, Beijing, Peoples R China

[3] Qingdao Ocean Shipp Mariners Coll, Dept Marine Engn, Qingdao, Shandong, Peoples R China

来源：

ISDA 2006: SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 2 | 2006年

基金：

中国国家自然科学基金;

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A simplex neuron based fuzzy self-turning PID controller (SNFSPID) is presented in this paper The single neuron part of the given controller is, in fact, a PID controller with links adjustable online, so that can improve the self-learning and self-turning ability of the system. Fuzzy controller is used to adjust the output of the neuron and can accelerate the control process. Simulations have been made on marine motion control and the results showed that SNFSPID controller has the benefits of few adjustable parameters, easy modulation, stable output control and preferable robustness, so can be more fit for large time-delay or uncertain system.

引用

页码：188 / +

页数：2

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