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Minimization of a Cogging Torque for an Interior Permanent Magnet Synchronous Machine using a Novel Hybrid Optimization Algorithm
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 Title & Authors
Minimization of a Cogging Torque for an Interior Permanent Magnet Synchronous Machine using a Novel Hybrid Optimization Algorithm
Kim, Il-Woo; Woo, Dong-Kyun; Lim, Dong-Kuk; Jung, Sang-Yong; Lee, Cheol-Gyun; Ro, Jong-Suk; Jung, Hyun-Kyo;
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 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;
 Language
English
 Cited by
1.
A Novel Surrogate-Assisted Multi-Objective Optimization Algorithm for an Electromagnetic Machine Design, IEEE Transactions on Magnetics, 2015, 51, 3, 1  crossref(new windwow)
2.
Optimal Design of an Interior Permanent Magnet Synchronous Motor by Using a New Surrogate-Assisted Multi-Objective Optimization, IEEE Transactions on Magnetics, 2015, 51, 11, 1  crossref(new windwow)
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