基于人工蜂群的六相感应电机设计优化

2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC) Pub Date : 1900-01-01 DOI:10.1109/CIEC.2016.7513822

Pratyush Das, S. N. Mahato

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引用次数: 8

摘要

采用人工蜂群算法(ABC)对六相感应电动机(SPIM)进行优化设计。采用多目标函数进行优化。将人工蜂群算法的优化设计与传统设计和基于遗传算法的优化设计进行了比较，表明人工蜂群优化技术可以实现改进设计。并对所得结果进行了比较，以找出最适合的优化方法。对每一种设计都有效地评价了感应电机的性能。

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Artificial Bee Colony based design optimization of a six-phase induction motor

Artificial Bee Colony Algorithm (ABC) has been used to optimize the design of a six-phase induction motor (SPIM). Multi-objective function has been considered for optimization. Comparison of the optimum design using Artificial Bee Colony Algorithm with that of traditional design and Genetic Algorithm (GA) based optimum design has been presented, which shows that improved design can be achieved by Artificial Bee Colony technique of optimization. Comparison of the results obtained has been done to find the fittest method of optimization for the said purpose. Performances of the induction motor have been evaluated for each design effectively.

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来源期刊

2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)

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