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http://dx.doi.org/10.5370/JEET.2014.9.3.859

Minimization of a Cogging Torque for an Interior Permanent Magnet Synchronous Machine using a Novel Hybrid Optimization Algorithm  

Kim, Il-Woo (Hyosung corporation, Changwon plant Special Motor Design Team)
Woo, Dong-Kyun (Dept. of Electrical and Computer Engineering, Seoul National University)
Lim, Dong-Kuk (Dept. of Electrical and Computer Engineering, Seoul National University)
Jung, Sang-Yong (School of Electronic and Electrical Engineering, Sungkyunkwan University)
Lee, Cheol-Gyun (Electrical Engineering, Dong Eui University)
Ro, Jong-Suk (Creative Research Engineer Development, Brain Korea 21 Plus, Seoul National University)
Jung, Hyun-Kyo (Dept. of Electrical and Computer Engineering, Seoul National University)
Publication Information
Journal of Electrical Engineering and Technology / v.9, no.3, 2014 , pp. 859-865 More about this Journal
Abstract
Optimization of an electric machine is mainly a nonlinear multi-modal problem. For the optimization of the multi-modal problem, many function calls are required with much consumption of time. To address this problem, this paper proposes a novel hybrid algorithm in which function calls are less than conventional methods. Specifically, the proposed method uses the kriging metamodel and the fill-blank technique to find an approximated solution in a whole problem region. To increase the convergence speed in local peaks, a parallel gradient assisted simplex method is proposed and combined with the kriging meta-model. The correctness and usefulness of the proposed hybrid algorithm is verified through a mathematical test function and applied into the practical optimization as the cogging torque minimization for an interior permanent magnet synchronous machine.
Keywords
Hybrid optimization algorithm; Kriging; Motor; Optimization; Permanent magnet machine; Simplex;
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Times Cited By KSCI : 5  (Citation Analysis)
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