Efficiency Optimization of Induction Motor Using a Modified Gray Wolf Optimization

O. Zeghba, Salim Chakroun, A. Aillane
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引用次数: 1

Abstract

In this research, a method for improving the efficiency of induction motors based on the modified gray wolf optimizer (mGWO) is proposed and examined. In order to reduce the overall copper and iron losses of the machine, the efficiency improvement technique entails modifying the geometric dimensions with regard to the lower and upper bound of those parameters. A comparison between the findings achieved utilizing the mGWO and GAs approach is done, and some simulation performances are shown along with a comparison of efficiency, electric current, and torque. The approach mGWO provided good results and required less time to extract results once the simulation results were obtained using the aforementioned methods.
基于改进灰狼优化的感应电机效率优化
本文提出并验证了一种基于改进灰狼优化器(mGWO)的异步电机效率提高方法。为了减少机器的铜和铁的整体损失,效率改进技术需要根据这些参数的下界和上界修改几何尺寸。比较了利用mGWO和GAs方法获得的结果,并展示了一些仿真性能以及效率、电流和扭矩的比较。使用上述方法获得仿真结果后,mGWO方法获得了良好的结果,并且提取结果所需的时间更短。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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