DocumentCode :
2727408
Title :
Lead-Lag Compensator Design Based on Genetic Algorithms
Author :
Huey-Yang Horng
Author_Institution :
Dept. of Electron. Eng., I-Shou Univ., Kaohsiung, Taiwan
fYear :
2012
fDate :
16-18 Nov. 2012
Firstpage :
80
Lastpage :
85
Abstract :
The PID controllers are the most commonly used controllers in industrial applications. As is well known, the PID controllers are susceptible to noise interference and windup effect. More practical alternatives are lead-lag controllers. Traditionally, time-domain or frequency-domain methods are used to design a lead-lag controller to meet the design specifications. The main task of this article is to design a required lead-lag controller using genetic algorithms (GAs). A main feature of our approach is to include the design specifications directly into the cost function or fitness function in GA iterations. Computer simulations show that the performances of our proposed controllers are quite good.
Keywords :
control system synthesis; frequency-domain analysis; genetic algorithms; three-term control; time-domain analysis; GA iterations; PID controllers; computer simulations; cost function; design specifications; fitness function; frequency-domain methods; genetic algorithms; lead-lag compensator design; lead-lag controller; noise interference; proportional-integral-derivative controllers; time-domain methods; Biological cells; Cost function; Genetic algorithms; Lead; Sociology; Statistics; Steady-state; PID controller; cost function; fitness function; genetic algorithm; lead-lag compensators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technologies and Applications of Artificial Intelligence (TAAI), 2012 Conference on
Conference_Location :
Tainan
Print_ISBN :
978-1-4673-4976-5
Type :
conf
DOI :
10.1109/TAAI.2012.66
Filename :
6395010
Link To Document :
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