Optimization of Controller Structure Using Evolutionary Algorithm

被引：2
|
作者：
Przybyl, Andrzej [1 ]
Szczypta, Jacek [1 ]
Wang, Lipo [2 ]
机构：
[1] Czestochowa Tech Univ, Inst Computat Intelligence, Czestochowa, Poland
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
来源：
ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT II (ICAISC 2015) | 2015年 / 9120卷
关键词：
NEURO-FUZZY SYSTEMS; IDENTIFICATION; GENERATION; SERIES;
D O I：
10.1007/978-3-319-19369-4_24
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
PID-based controller structures are typically used in industrial control systems. However, in different areas the controller structures are slightly different. The differences are due to the modifications introduced by the expert. Expert, based on his experience and on trial-and-error method, adjusts the initial controller structure in order to obtain a better quality of control. In this paper a method based on an evolutionary algorithm is proposed. Usage of the proposed method makes this difficult and time consuming task easier and faster.
引用
收藏
页码：261 / 271
页数：11
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