基于多目标有效全局优化算法的直线感应电动机优化设计

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Abstract Integration of finite element models (FEM) in the optimal design process of electrical machine is complex and time-costly. The multi-objective efficient global optimization (MEGO) algorithm uses Kriging surrogate model as a guide on the optimization problem. The computationally expensive FEM is replaced by Kriging surrogate model, which can reduce the iterations of the FEM in the optimal design process. A Parallel strategy is integrated with MEGO in order to further save the time of optimization. A multi-objective optimization is achieved, by applying the MEGO algorithm to a 3D FEM of the linear induction motor. A 2D Pareto set composed of 3D FEM solutions is obtained with an affordable time-cost. This paper provides a new method for the optimal design of linear induction motor with FEM.

Key words： Muti-objective efficient global optimization Kriging Surrogate model 3D finite element model linear induction motor

Received: 21 November 2013 Published: 30 December 2015

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TM351

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	Gong Jinlin
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Gong Jinlin,Wang Xiuhe. Optimal Design of a Linear Induction Motor Using Multi-Objective Efficient Global Optimization[J]. Transactions of China Electrotechnical Society, 2015, 30(24): 32-37.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2015/V30/I24/32

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