Fuzzy logic direct torque control

A. Arias, J. L. Romeral, E. Aldabas, M. Jayne
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引用次数: 46

Abstract

A brief review of the different induction motor drives is done and its reason of being such a high matter of interest is summarised. Next, the direct torque control (DTC) in induction motors with its fundamental principles and schemes is described. Once the DTC is described, its main drawbacks are introduced. One of the goals of the paper is to overcome one of the worst disadvantages of the DTC, which is the existence of a considerable ripple in its torque response. The previously explained DTC limitations involve plenty of nonlinear functions. Therefore, artificial intelligence is suggested to overcome the DTC limitations. Hence, a fuzzy logic DTC controller, which is based on the classical DTC but includes a fuzzy logic controller, is described. Finally an optimised method of calculating the stator reference flux value is presented, which can be applied in any kind of induction motor drive. This optimised stator flux reference value not only improves the torque ripple, but also reduces the power consumption from the mains. Simulated results are shown to corroborate all the presented work and the updated workbench where all the experimentation is realised is also described.
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模糊逻辑直接转矩控制
对不同的感应电动机驱动器进行了简要的回顾,并总结了其成为如此重要的问题的原因。其次,介绍了异步电动机直接转矩控制的基本原理和控制方案。一旦描述了DTC,就介绍了它的主要缺点。本文的目标之一是克服直接转矩控制最严重的缺点之一,即其转矩响应存在相当大的波动。前面解释的DTC限制涉及大量的非线性函数。因此,建议使用人工智能来克服DTC的局限性。因此,本文描述了一种基于经典直接转矩控制但包含模糊逻辑控制器的模糊逻辑转矩控制。最后提出了一种计算定子参考磁通值的优化方法,该方法可应用于任何类型的感应电机驱动。这种优化的定子磁链参考值不仅改善了转矩脉动,而且还降低了市电的功耗。模拟结果证实了所提出的所有工作,并描述了所有实验实现的更新工作台。
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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