基于粒子群算法的感应电机能耗优化

Khemiri Wahiba, A. Sakly, M. Mimouni
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引用次数: 3

摘要

本文提出了一种求解异步电动机暂态状态下最优能耗问题的方法。该方法采用粒子群算法(PSO)对问题变量进行优化设置。基于pso的方法利用转速信息确定最小能量转子磁链参数。给出了仿真结果,并与传统场定向控制(FOC)和优化场定向控制(OFOC)的结果进行了比较。实验结果表明,基于粒子群的新算法比其他方法具有更高的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal energy consumption of an induction motor using particle swarm optimization
This paper present an approach to solve the optimal energy consumption problem in an induction motor (IM) in transient regime. The proposed approach employs particle swarm optimization (PSO) algorithm for optimal setting of the problem variables. The PSO-based approach uses the information about the speed and determines the minimum-energy rotor flux parameters. The simulation results are presented and compared with the results of conventional field oriented control (FOC) and the optimized field oriented control (OFOC). The results show that the new PSO-based algorithm is much more efficient than the other methods.
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