基于遗传算法的开关磁阻发电机发射角优化

2013 13th International Conference on Environment and Electrical Engineering (EEEIC) Pub Date : 2013-11-01 DOI:10.1109/EEEIC-2.2013.6737911

W. R. H. Araujo, C. A. Ganzaroli, W. Calixto, A. Alves, G. P. Viajante, Marcio R. C. Reis, A. Silveira

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引用次数: 12

摘要

本文报道了一种通过外部电源励磁作为发电机工作的开关磁阻电机(SRM)。该装置通过其电源转换器提供直流电压输出。转子转速、激励电压和发射角等参数直接影响输出电压。因此，科学界研究和开发了许多策略来控制输出电压或使其最大化。这项工作提出了一种适用于SRM的驱动策略，该策略包括在给定转子转速和激励下获得最佳发射角以最大化输出电压。对结果进行了仿真分析。

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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Firing angles optimization for Switched Reluctance Generator using Genetic Algorithms

This paper reports on a Switched Reluctance Machine (SRM) operating as generator excited through external power source. This device provides DC voltage output through its power converter. Parameters such as rotor speed, excitation voltage and firing angles interferes directly on the output voltage. Thus, many strategies have been studied and developed by scientific community in order to control the output voltage or achieve its maximization. This work proposes a driving strategy applied to the SRM that consists in obtaining the optimal firing angles in order to maximize the output voltage for given rotor speed and excitation. Simulations are presented for results analysis.

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2013 13th International Conference on Environment and Electrical Engineering (EEEIC)

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