基于遗传算法的模糊控制器的六相感应电机位置控制

2011 International Conference on Power Engineering, Energy and Electrical Drives Pub Date : 2011-05-11 DOI:10.1109/POWERENG.2011.6036435

M. Moghadasian, R. Kianinezhad, F. Betin, A. Yazidi, V. Lanfranchi, G. Capolino

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引用次数: 3

摘要

本文提出了一种用于六相异步电动机位置控制的模糊PI (FPI)控制器。采用遗传算法对模糊控制器进行调谐，使系统整体响应达到较高的性能。对控制系统的性能和鲁棒性进行了满载和大负载惯性变化的测试。将该方法与传统的比例积分控制方法进行了比较，并通过两种控制方法的仿真和实验验证。

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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Position control of six-phase induction machine using FuzzyPI controller tuned by genetic algorithms

In this paper, a fuzzy PI (FPI) controller is proposed for position control of six-phase induction motor (6PIM). The fuzzy controller is tuned by using the genetic algorithm so that a high performance of the overall system's response can be achieved. The performance and the robustness of the control system are tested for fully loaded and widely load inertia variations. The proposed scheme is compared to the conventional proportional-integral control and validated by simulation and experimental tests of both control techniques.

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2011 International Conference on Power Engineering, Energy and Electrical Drives

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