RESPONSE SURFACE METHOD-BASED OPTIMIZATION OF OUTER ROTOR PERMANENT MAGNET SYNCHRONOUS MOTOR
DOI:
https://doi.org/10.18690/jet.12.3.43-52.2019Keywords:
Response surface surrogate method, outer rotor permanent magnet synchronous motor, sequential quadratic programming optimizationAbstract
The Finite Element Method (FEM) is a prominent analysis approach. Although it is applicable for simulation and optimization of electrical machines, FEM is a very time-consuming technique. One of the
approaches to shorten the optimization runtime is the use of surrogate models instead of FEM. In this paper, the design and optimization of an outer rotor permanent magnet synchronous motor for a
hybrid vehicle are investigated. Response surface methodology (RSM) with four input variables is integrated with a sequential quadratic programming algorithm for optimization. Before the optimization,
the performance of the surrogate model in the prediction of untried points is validated. Finally, the optimal motor is simulated by FEM to verify the results of RSM-based optimization, and the outputs
of both models are compared.
Downloads
References
A. Forrester, A. Sobester, and A. Keane: Engineering design via surrogate modelling: a practical guide. John Wiley & Sons, 2008
H. M. Hasanien, A. S. Abd‐Rabou, and S. M. Sakr: Design optimization of transverse flux linear motor for weight reduction and performance improvement using response surface methodology and genetic algorithms, IEEE Trans. Energy Convers., vol. 25, no. 3, pp.598–605, 2010
G. Lei, J. Zhu, Y. Guo, C. Liu, and B. Ma: A review of design optimization methods for electrical machines, Energies, vol. 10, no. 12, p. 1962, 2017
S.‐I. Kim, J.‐P. Hong, Y.‐K. Kim, H. Nam, and H.‐I. Cho: Optimal design of slotless‐type PMLSM considering multiple responses by response surface methodology, IEEE Trans. Magn., vol. 42, no. 4, pp. 1219–1222, 2006
K.‐Y. Hwang, S.‐B. Rhee, B.‐Y. Yang, and B.‐I. Kwon: Rotor pole design in spoke‐type brushless DC motor by response surface method, IEEE Trans. Magn., vol. 43, no. 4, pp. 1833–1836, 2007 L. Jolly, M. A. Jabbar, and L. Qinghua: Design optimization of permanent magnet motors using response surface methodology and genetic algorithms, IEEE Trans. Magn., vol. 41, no. 10, pp. 3928–3930, 2005
A. M. El‐Refaie: Fractional‐slot concentrated‐windings synchronous permanent magnet machines: Opportunities and challenges, IEEE Trans. Ind. Electron., vol. 57, no. 1, pp. 107–121, 2009
R. H. Myers, D. C. Montgomery, and C. M. Anderson‐Cook: Response surface methodology: process and product optimization using designed experiments. John Wiley & Sons, 2016
J. Zolgharnein, A. Shahmoradi, and J. B. Ghasemi: Comparative study of Box–Behnken, central composite, and Doehlert matrix for multivariate optimization of Pb (II) adsorption onto Robinia tree leaves, J. Chemom., vol. 27, no. 1–2, pp. 12–20, 2013
S. L. C. Ferreira et al.: Statistical designs and response surface techniques for the optimization of chromatographic systems, J. Chromatogr. A, vol. 1158, no. 1–2, pp. 2– 14, 2007
