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Optimal design of brushless DC motor by utilizing novel coefficient modeling for skewed PM and overhang structure
- Authors
- Hwang, Kyu yun; Rhyu, Se hyun; Kwon, Byung il
- Issue Date
- May-2010
- Publisher
- IEEE
- Keywords
- Moving least square methods; Structural design; Optimal systems; Least squares approximations; A-coefficient; Electromagnetic field measurement; Evolution algorithms; DC motors; Evolutionary algorithms; Electromagnetic fields; Two dimensional; Optimizatio
- Citation
- Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010
- Indexed
- SCOPUS
- Journal Title
- Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010
- ISSN
- 0000-0000
- Abstract
- A novel coefficient modeling for skewed PM and overhang structure as a coefficient estimation method is introduced for optimal design in the 2D region for a PM motor. The novel model is constructed using 3D FEM and a response surface method (RSM) based on moving least square method (LSM). Then the novel model is coupled with an additional approximated model for optimal design in the 2D region. Finally, by combining the novel model and evolution algorithm (EA), an optimal design is performed. The usefulness of the proposed design is verified by 3D FEM simulation results. © 2010 IEEE.
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