Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1999.07f
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- Pages.2742-2744
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- 1999
Genetic-Fuzzy Controller for Induction Motor Speed Control
유도전동기의 속도제어를 위한 유전-퍼지 제어기
- Kwon, Tae-Seok (Hyundai Elevator Inst. of Tech.) ;
- Kim, Chang-Sun (Mokpo Univ.) ;
- Kim, Young-Tae (Wonju College) ;
- Oh, Won-Seok (Yuhan College) ;
- Sin, Tae-Hyun (Yuhan College) ;
- Kim, Hee-Jun (Hanyang Univ.)
- Published : 1999.07.19
Abstract
In this paper, an auto-tuning method for fuzzy logic controller based on the genetic algorithm is presented. In the proposed method, normalization parameters and membership function parameters of fuzzy controller are translated into binary bit-strings, which are processed by the genetic algorithm in order to be optimized for the well-chosen objective function (i.e. fitness function). To examine the validity of the proposed method. a genetic algorithm based fuzzy controller for an indirect vector control of induction motors is simulated and experiment is carried out. The simulation and experimental results show a significant enhancement in shortening development time and improving system performance over a traditional manually tuned fuzzy logic controller.
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