基于萤火虫算法和遗传算法的永磁同步电机PI控制器优化设计

2017 6th International Conference on Systems and Control (ICSC) Pub Date : 2017-05-01 DOI:10.1109/ICOSC.2017.7958699

S. Bazi, R. Benzid, M. N. Said

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引用次数: 3

摘要

本文采用萤火虫算法(FA)和遗传算法(GA)对永磁同步电机伺服系统中的PI控制器参数进行整定。因此，这些算法涉及到通过最小化时域成本函数来找到优化的比例积分(PI)增益。比较(FA)和(GA)基于控制器，可以看出第一个比最后一个更好，这使我们得出(FA)更适合于(PI)控制器的参数优化的结论。

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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Optimum PI controller design in PMSM using Firefly Algorithm and Genetic Algorithm

In this paper, both Firefly Algorithm (FA) and Genetic Algorithm (GA) are used to tune the PI controller parameters in PMSM servo system. Consequently, these algorithms are involved to find the optimized proportional-integral (PI) gains by minimizing the time domain cost function. Comparing (FA) and (GA) based controllers, it can be remarked that the first one is better than the last one which allows us to conclude that (FA) is more suitable for parameters optimization of a (PI) controller.

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2017 6th International Conference on Systems and Control (ICSC)

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