多目标粒子群优化在直线感应电机操作机构中的研究与应用

Aimin Liu, Hong-kui Zhang, Guang Yang, Xin Lin
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引用次数: 5

摘要

为了获得更大的起动推力以满足高压断路器对机械性能的要求,本文提出并优化了应用于断路器操作机构的圆柱形直线感应电动机。首先,根据圆柱直线感应电动机的特点,提出了多目标粒子群算法,并将其应用于圆柱直线感应电动机的全局优化。其次,基于子群粒度算法建立了多目标优化算法的数学模型,并利用Matlab工程计算工具编制了程序,同时开发了可视化界面。结果表明,多目标优化设计明显优于单目标优化设计。增加了推力,减小了电机的结构和尺寸。从而提高了C-LIM驱动机构的可用性,为断路器操动机构的小型化设计提供了依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research and application of multi-objective particle swarm optimization in linear induction motor operating mechanism
In order to obtain larger starting thrust to meet the requirement of the mechanical property of high-voltage circuit breaker, the cylindrical linear induction motor (C-LIM) applied to the circuit breaker operating mechanism was proposed and optimized in this paper. Firstly, the multi-objective particle swarm algorithm was proposed and used in the global optimization of cylinder linear induction motor according to its characteristic. Secondly, the mathematical model of multi-objective optimization algorithm was established based on the grain of subgroup algorithm, and the programs were compiled by using the Matlab engineering calculation tool, at the same time the visual interface was developed. Finally, the results indicated that the multi-objective optimization design is obviously better than the single optimization design. The thrust are increased, the structure and size of motor are also reduced. So it can increase the usability of the C-LIM drive mechanism and provide the basis for the design of miniaturization of circuit breaker operating mechanism.
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