电励磁双定子场调制电机的多目标优化设计分析

doi:10.19595/j.cnki.1000-6753.tces.190439

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Abstract The electric-excitation double-stator field-modulated (EEDSFM) machine is suitable for the low-speed high-torque direct-drive applications, which combines the merits of double stator machine and the field-modulation machine, thus having the advantages of high torque density and being easy to control. Due to the structural complexity and harmonic field richness of the proposed machine, by using the finite element method (FEM), aiming at achieving the high torque density and low torque ripple, this paper is to present a new multi-objective optimization design method for the proposed EEDSFM machine. According to the sensitivity analysis, the structural parameters can be divided into different levels. And based on the parameter sensitivity level, the multi-objective optimization analysis combing the genetic algorithm, response surface method and single parameter scanning method is carried out, and then the optimal structure size parameters of the proposed machine are finally determined. By means of the FEM, the electromagnetic performances of the proposed machine are investigated, mainly including no-load electromotive force (EMF), cogging torque, electromagnetic torque. And the prototype experiment further verifies the validity of the multi-objective optimization design method and finite-element analysis, which enriches the efficient optimization design way of this type of complex field-modulated machine.

Key words： Electric-excitation double-stator field-modulated machine parameter sensitivity multi-objective optimization genetic algorithm response surface method

Received: 16 April 2019 Published: 12 March 2020

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TM351

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	Li Xianglin
	Li Jinyang
	Yang Guangyong
	Wang Yubin
	Feng Xingtian

Cite this article:

Li Xianglin,Li Jinyang,Yang Guangyong等. Multi-Objective Optimization Analysis of Electric-Excitation Double-Stator Field-Modulated Machine[J]. Transactions of China Electrotechnical Society, 2020, 35(5): 972-982.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.190439 OR https://dgjsxb.ces-transaction.com/EN/Y2020/V35/I5/972

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