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Optimizing Design Variables for High Efficiency Induction Motor Considering Cost Effect by Using Genetic Algorithm
- Han, Pi-Wan;
- Seo, Un-Jae;
- Choi, Jae-Hak;
- Chun, Yon-Do;
- Koo, Dae-Hyun;
- ... Lee, Ju
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6초록
The characteristics of an induction motor vary with the number of parameters and the performance relationship between the parameters also is implicit. In case of the induction motor design, we generally should estimate many objective physical quantities in the optimization procedure. In this article, the multi objective design optimization based on genetic algorithm is applied for the three phase induction motor. The efficiency, starting torque, and material cost are selected for the objectives. The validity of the design results is also clarified by comparison between calculated results and measured ones
키워드
High efficiency; Cost; Optimization; Genetic algorithm; Design variable; Induction motor; Costs; Design; Efficiency; Induction motors; Optimization; Genetic algorithms; Design variables; Material cost; Multi-objective design optimization; Optimizing design; Phase induction motors; Physical quantities; Starting torque
- 제목
- Optimizing Design Variables for High Efficiency Induction Motor Considering Cost Effect by Using Genetic Algorithm
- 저자
- Han, Pi-Wan; Seo, Un-Jae; Choi, Jae-Hak; Chun, Yon-Do; Koo, Dae-Hyun; Lee, Ju
- 발행일
- 2012-11
- 유형
- Article
- 권
- 7
- 호
- 6
- 페이지
- 948 ~ 953