Speed Control of Induction Motor Using Genetic Algorithm Based Fuzzy Controller
- Title
- Speed Control of Induction Motor Using Genetic Algorithm Based Fuzzy Controller
- Author
- 김희준
- Keywords
- Velocity control; Induction motors; Genetic algorithms; Fuzzy logic; Machine vector control; Fuzzy control; System performance; Design methodology; Control systems; Optimization methods
- Issue Date
- 1999-11
- Publisher
- IEEE
- Citation
- IECON'99. Conference Proceedings. 25th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.99CH37029) Industrial Electronics Society, 1999. IECON '99 Proceedings. The 25th Annual Conference of the IEEE. 2:625-629 vol.2 1999
- Abstract
- The fuzzy logic controller has been focused in the field of vector control of induction motors. However, a systematic method for designing and tuning the fuzzy logic controller is not developed yet. 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 a 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 an 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. Thus, in the case of changing motor, the proposed method is superior to a traditional method in the respect of development time and system performance.
- URI
- https://ieeexplore.ieee.org/document/816464?arnumber=816464&SID=EBSCO:edseeehttps://repository.hanyang.ac.kr/handle/20.500.11754/171301
- ISSN
- 0-7803-5735-3; 978-0-7803-5735-8
- DOI
- 10.1109/IECON.1999.816464
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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