Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1999.07b
- /
- Pages.897-899
- /
- 1999
Optimal Design of Scaling Factor Tuning of Fuzzy Logic Controller Using Genetic Algorithm
유전알고리즘을 이용한 이득요소 동조 퍼지 제어기 최적설계
- Hwang, Yong-Won (Department of Electrical Engineering, Kon-Kuk University) ;
- Oh, Jin-Soo (Department of Electrical Engineering, Kon-Kuk University) ;
- Park, Kun-Hwa (Department of Electrical Engineering, Kon-Kuk University) ;
- Hong, Young-Jun (Department of Electrical Engineering, Kon-Kuk University) ;
- Nam, Moon-Hyon (Department of Electrical Engineering, Kon-Kuk University)
- Published : 1999.07.19
Abstract
This paper presents a scaling factor tuning method to improve the performance of fuzzy logic controller. Tuning rules and reasoning are utilized off-line to determine the scaling factors based on absolute value of the error and its difference. In this paper We proposed a new method to generate fuzzy logic controllers throught genetic algorithm. The developed approach is subsequently applied to the design of proportional plus integral type fuzzy controller for a dc-servo motor control system. The performance of this control system is demonstrated higher than a conventional fuzzy logic controller(FLC).
Keywords