Expert Self-tuning Using Fuzzy Reasoning for PID Controller

被引：0

作者：

Geng, Tao ^{[1
]}

Lv, Yunfei ^{[2
]}

Liu, Yang ^{[3
]}

机构：

[1] Henan Univ, Acad Phys & Elect, Kaifeng 47500, Peoples R China

[2] Second Ship Design Inst, Wuhan 430074, Peoples R China

[3] Huazhong Univ Sci & Technol, Sch Automat, Wuhan 430074, Peoples R China

来源：

BIO-INSPIRED COMPUTING - THEORIES AND APPLICATIONS, BIC-TA 2014 | 2014年 / 472卷

关键词：

PID controller; Expert system; Fuzzy reasoning; Eigne values; Self-tuning;

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：

This paper introduces a expert PID system utilizing fuzzy inference mechanism by defining TDR (rules degree of trigging) and TDS (targets degree of satisfaction), whose inference rulers are brief. The rules can be trigged simultaneously and even in the case of the failure of reasoning, can also alternate the suboptimal parameters to overcome the general PID expert systems short coming that be fail to settle the optimal parameter. The article makes simulation on a typical plant to verify the effectiveness of this method.

引用

页码：138 / 141

页数：4

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