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http://dx.doi.org/10.5370/JEET.2015.10.3.965

Optimal Design of Multi-DOF Deflection Type PM Motor by Response Surface Methodology  

Li, Zheng (School of Electrical Engineering, Hebei University of Science and Technology)
Zhang, Lu (School of Electrical Engineering, Hebei University of Science and Technology)
Lun, Qingqing (School of Electrical Engineering, Hebei University of Science and Technology)
Jin, Hongbo (Hebei Science and Technology Information Institute)
Publication Information
Journal of Electrical Engineering and Technology / v.10, no.3, 2015 , pp. 965-970 More about this Journal
Abstract
This paper uses response surface methodology as the optimization method of torque of multi-DOF deflection type PM motor. Firstly, the application of Taguchi algorithm selects structural parameters affecting the motor torque largely which simplifies the optimization process greatly. Then, based on the central composite design (CCD), response surface equation numerical model is constructed by the finite element method. With the aid of experiment design and analysis software, the effects of the interaction among factors on the index are analyzed. The results show that the analytical method is efficient and reliable and the experimental results can be predicted by response surface functions.
Keywords
PM motor; Multi-degree-of-freedom; Response surface methodology; Optimization;
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1 Hwang K Y, Rhee S B, Yang B Y, et al, “Rotor pole design in spoke-type brushless DC motor by response surface method”, IEEE Transactions on Magnetics, vol.43, no.4, pp.1833-1836, Apr. 2007.   DOI   ScienceOn
2 Li J T, Liu Z J, Jabbar M A, et al, “Design optimization for cogging torque minimization using response surface methodology”, IEEE Transactions on Magnetics, vol.40, no.2, pp.1176-1179, Feb. 2004.   DOI   ScienceOn
3 Vadde K K, Syrotiuk V R, Montgomery D C, “Optimizing protocol interaction using response surface methodology”, IEEE Transactions on Mobile Computing, vol.5, no.6, pp.627-639, Jun. 2006.   DOI   ScienceOn
4 Li Z. “Robust control of PM spherical stepper motor based on neural networks”, IEEE Transactions on Industrial Electronics, vol.56, no.8, pp.2945-2954, Aug. 2009.   DOI
5 Lee J, Kim D, Baek S, et al, “Newly Structured Double Excited Two-Degree-of-Freedom Motor for Security Camera”, IEEE Transaction on Magnetics, vol. 44, no. 11, pp. 4041-4044, Nov. 2008.   DOI   ScienceOn
6 Shohei I, Katsuhro H, She M, “Proposal of Electromagnetic Spherical Actuator with 3-DOF”. Computation and Mathematics in Electrical and Electronic Engineering, vol.29, no.4, pp.994-1003, Apr. 2010.   DOI   ScienceOn
7 Li Z, “Magnetic-field computation of a novel 3-DOF deflection-type PM motor with analytical and finite-element methods”, ELEKTROTEHNIŠKI VESTNIK, vol. 81, no. 1-2, pp. 51-56, Apr. 2014.
8 Li Z, Zhang Y, Wang Q, Wang X, et al, “Analytical modeling and analysis of magnetic field for a novel 3-DOF deflection type PM motor”, Proceedings of the CSEE, vol. 33, sub.1, pp. 219-225, Dec. 2013.
9 Kim S I, Hong J P, Kim Y K, et al, “Optimal design of slotless-type PMLSM considering multiple responses by response surface methodology”, IEEE Transactions on Magnetics, vol. 42, no. 4, pp. 1219-1222, Apr. 2006.   DOI   ScienceOn
10 Lee J Y, Kim S I, Hong J P, et al, “Optimal design of superconducting motor to improve power density using 3D EMCN and response surface methodology”, IEEE Transactions on Applied Superconductivity, vol. 16, no. 2, pp. 1819-1822, Feb. 2006.   DOI   ScienceOn
11 Kim Y K, Hong J P, Hur J, “Torque characteristic analysis considering the manufacturing tolerance for electric machine by stochastic response surface method”, IEEE Transactions on Industry Applications, vol.39, no.3, pp.713-719, Mar. 2003.   DOI   ScienceOn
12 Cheng Y, Xu G, Zhu D, et al, “Thermal analysis for indirect liquid cooled multichip module using computational fluid dynamic simulation and response surface methodology”, IEEE Transactions on Components and Packaging Technologies, vol. 29, no. 1, pp. 39-46, Jan. 2006.   DOI   ScienceOn