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Optimization of Magnet Pole of BLDC Motor by Experimental Design Method  

Kim, Jee-Hyun (Dept. of Electrical Engineering, Pusan National University)
Kwon, Young-Ahn (Dept. of Electrical Engineering, Pusan National University)
Publication Information
KIEE International Transaction on Electrical Machinery and Energy Conversion Systems / v.3B, no.2, 2003 , pp. 84-89 More about this Journal
Abstract
The finite element method (FEM) is typically used in the process of motor design. However, the FEM requires computation time, Therefore, decreasing the number of FEM simulations may also decrease the simulation cost. Several optimal design methods overcoming this problem have been recently studied. This paper investigates the optimal design of the magnet pole of a BLDC motor through reducing simulation cost. The optimization minimizes the magnet volume and limits the average and cogging torques to certain values. In this paper, the response surface methodology and Taguchi's table for reducing the number of FEM simulations are used to approximate two constraints. The optimization result shows that the presented strategy is satisfactorily performed.
Keywords
BLDC motor; experimental design method; fractional factorial design; optimization; response surface methodology;
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  • Reference
1 J. F. Gieras and M. Wing, Permanent Magnet Motor Technology, Marcel Dekker Inc., 1997
2 M. S. Bazaraa, H. D. Sherali, and C. M. Shetty, Nonlinear Programming: Theory and Algorithms, 2nd ed, Wiley, 1993
3 F. Gillion and P. Brochet, 'Screening and Response Surface Method Applied to the Numerical Optimization of Electromagnetic Devices,' IEEE Trans on Magnetics, vol. 36, no.4, pp. 1163-1167, 2000
4 S. Brisset, F. Gillon, S. Viver, and P. Brochet, 'Optimization with Experimental Design: An Approach Using Taguchi's Methodology and Finite Element Simulations,' IEEE Trans on Magnetics, vol. 37, no. 5, pp. 3530-3533, 2001
5 X. Gao, T. S. Low, S. Chen, and Z. Liu, 'Structural Robust Design for Torque Optimization of BLDC Spindle Motor Using Response Surface Methodology,' IEEE Trans. on Magnetics, vol. 37, no. 4, pp. 2814-2817, 2001
6 K. Preis, C. Magele, and O. Biro, 'FEM and Evolution Strategies in the Optimal Design of Electromagnetic Devices,' IEEE Trans on Magnetics, vol. 26, no. 5, pp.2181-2183, 1990
7 T. W. Simpson, J. Peplinski, P. N. Koch, and J. K. Allen, 'On the Use of Statistics in Design and the Implications for Deterministic Computer Experiments,' Proc of ASME Design Eng Tech Conf, pp. 1-11, 1997
8 E. K. P. Chong and S. H. Zak, An Introduction to Optimization, 2nd ed, Wiley, 2001
9 G. S. Peace, Taguchi Methods: A Hands-on Approach, Addison-Wesley, 1993
10 N. Ansari and E. Hou, Computational Intelligence for Optimization, Kluwer Academic, 1997
11 P. J. Ross, Taguchi Techniques for Quality Engineering: Loss Function, Orthogonal Experiments, Parameter and Tolerance Design, 2nd ed., McGraw Hill. 1996
12 M. Gen and R. Cheng, Genetic Algorithms and Engineering Design, Wiley, 1997
13 T. J. E. Miller, Design of Brushless Permanent Magnet Motors, Oxford Univ. Press, 1994
14 R. H. Myers and D. C. Montgomery, Response Sur face Methodology: Process and Product Optimization Using Designed Experiments, Wiley, 1995