Multiobjective optimization design of axial flux permanent magnet motor

Issue title: Proceedings of the twelfth International Symposium on Interdisciplinary Electromagnetic, Mechanic and Biomedical Problems, ISEM Bad Gastein

Article type: Research Article

Authors: Chun, Yon-Do^{a; *} | Koo, Dae-Hyun^a | Cho, Yun-Hyun^b

Affiliations: [a] Mechatronics Research Group, Korea Electrotechnology Research Institute, P. O. Box 20, Changwon-si, 641-120, Korea | [b] Department of Electrical Engineering, Dong-A University, 840 Hadan 2 dong, Saha-gu, Busan 604-714, Korea

Correspondence: [*] Corresponding author. Tel.: +82 55 280 1427; Fax: +82 55 280 1547; E-mail: ydchun@ieee.org

Abstract: The multiobjective design optimization generally includes the conflicting objectives and the use of conventional design optimization for MO problem does not so good approach to obtain an effective optimal solution. In this article, genetic algorithm is used to solve such optimal multiobjective design of axial flux permanent magnet (AFPM) motor. In order to effectively obtain a set of Pareto optimal solutions, ranking method is applied. The objective functions are decrease of cogging torque, increase of torque respectively. The airgap length and teeth angle are selected for the design variables. Some experimental results are compared with the simulation ones for the validity.

Keywords: Multiobjective design optimization, axial flux motor, permanent magnet, genetic algorithm

DOI: 10.3233/JAE-2007-758

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 25, no. 1-4, pp. 613-619, 2007