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Optimizing Design Variables for High Efficiency Induction Motor Considering Cost Effect by Using Genetic Algorithm
- Authors
- Han, Pi-Wan; Seo, Un-Jae; Choi, Jae-Hak; Chun, Yon-Do; Koo, Dae-Hyun; Lee, Ju
- Issue Date
- Nov-2012
- Publisher
- SPRINGER SINGAPORE PTE LTD
- Keywords
- High efficiency; Cost; Optimization; Genetic algorithm; Design variable; Induction motor
- Citation
- JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, v.7, no.6, pp.948 - 953
- Indexed
- SCIE
SCOPUS
KCI
- Journal Title
- JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
- Volume
- 7
- Number
- 6
- Start Page
- 948
- End Page
- 953
- ISSN
- 1975-0102
- Abstract
- 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
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