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首页> 外文期刊>Advances in modelling and analysis, C. Systems analysis, control and design, simulation, CAD >Design optimization of induction motor using hybrid genetic algorithm 'a critical analyze'
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Design optimization of induction motor using hybrid genetic algorithm 'a critical analyze'

机译:基于混合遗传算法的感应电机设计优化“关键分析”

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The aims of this paper is describes the procedure to determine the design of three phase electrical motors. The originality lies in combining a motor design program and employing a Hybrid Genetic Algorithm (HAGs) technique to obtain the maximum of objective function such as the motor efficiency. A method for evaluating the efficiency of induction motor is tested and applied on 2.2 kW experimental machines; the aforementioned is called equivalent circuit method (EC-M) and based on the analysis of the influence losses. After that, the optimal designs are analyzed by finite element method (FEM) and compared with results of another method which is genetic algorithms (GAs) optimisation technique, was done to demonstrate the validity of the proposed method.
机译:本文的目的是描述确定三相电动机设计的程序。独创性在于结合电机设计程序和采用混合遗传算法(HAGs)技术来获得最大目标函数,例如电机效率。在2.2 kW实验机上测试并应用了感应电机效率评估方法;上述称为等效电路法(EC-M),并基于对影响损耗的分析。然后,采用有限元法(FEM)对最优设计进行分析,并与遗传算法(GAs)优化技术的结果进行比较,验证了所提方法的有效性。

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