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] Academy of Physics and Electroics, Henan University, Kaifeng

[2] The Second Ship Design Institution, Wuhan, Hubei

[3] School of Automation, Huazhong University of Science and Technology, Wuhan, Hebei

来源：

Communications in Computer and Information Science | 2014年 / 472卷

关键词：

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

D O I：

10.1007/978-3-662-45049-9_22

中图分类号：

学科分类号：

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. © Springer-Verlag Berlin Heidelberg 2014.

引用

页码：138 / 141

页数：3

共 7 条

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