A neuro fuzzy controller for inverter fed variable speed induction motor drive on the power system

Kyu-Bock Cho
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引用次数: 2

Abstract

The author proposes an adaptive learning pulse width modulation (PWM) for a current controller which adaptively minimizes a current ripple with a constant switching frequency. This employs neuro- and/or fuzzy computing philosophy as well as adaptive learning pattern recognition principles to overcome the problems concerning variations of the system parameters. The proposed system is applied to an electrical drive system with an induction motor(IM) and is studied by various simulations. As opposed to the known classical methods, the proposed system shows the better performance.<>
一种用于变频调速异步电动机驱动电力系统的神经模糊控制器
作者提出了一种自适应学习脉宽调制(PWM)电流控制器,它可以在恒定开关频率下自适应地最小化电流纹波。它采用神经和/或模糊计算哲学以及自适应学习模式识别原理来克服有关系统参数变化的问题。将该系统应用于感应电机电驱动系统,并进行了仿真研究。与已知的经典方法相比,所提出的系统具有更好的性能。
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