Optimizing Design Variables for High Efficiency Induction Motor Considering Cost Effect by Using Genetic Algorithm
- Title
- Optimizing Design Variables for High Efficiency Induction Motor Considering Cost Effect by Using Genetic Algorithm
- Author
- 이주
- Keywords
- High efficiency; Cost; Optimization; Genetic algorithm; Design variable; Induction motor; OPTIMIZATION
- Issue Date
- 2012-11
- Publisher
- KOREAN INST ELECTR ENG, 901 KSTC, 635-4 YEOKSAM-DONG, GANGNAM-GU, SEOUL, 135-703, SOUTH KOREA
- Citation
- JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2012, 7(6), 948-953
- 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
- URI
- http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=E1EEFQ_2012_v7n6_948http://hdl.handle.net/20.500.11754/43493
- ISSN
- 1975-0102
- DOI
- 10.5370/JEET.2012.7.6.948
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
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