A Novel Switching Tables of Twelve Sectors DTC for Induction Machine Drive Using Artificial Neural Networks

Automation, Control and Intelligent Systems Pub Date : 2019-04-26 DOI:10.11648/J.ACIS.20190701.11

H. Benbouhenni

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引用次数: 6

Abstract

The direct torque control (DTC) is one of the actively researched control schemes of induction machines (IMs), which is based on the decoupled control of stator flux and electromagnetic torque. The traditional twelve sectors DTC control scheme of IM drive using hysteresis comparators and switching table has considerable electromagnetic torque ripple, stator flux ripple and harmonic distortion of voltage/current for IM drive. In order to ensure a robust twelve sectors DTC control scheme and minimize the harmonic distortion of stator current, a novel switching tables of twelve sectors DTC control scheme with the application of the artificial intelligence technique (artificial neural networks (ANNs)). The electromagnetic torque, stator flux and harmonic distortion of stator current are determined and compared with the traditional twelve sectors DTC control scheme. The simulation of the proposed switching tables were carried out in Matlab/Simulink software. A comparative study of the proposed switching tables is also presented to illustrate the merits of each of the switching table on the performance of the twelve sectors DTC control scheme.

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一种基于人工神经网络的感应电机十二扇区直接转矩控制开关表

直接转矩控制(direct torque control, DTC)是一种基于定子磁链和电磁转矩解耦控制的感应电机控制方法。传统的利用磁滞比较器和开关表的12扇区直接转矩控制方案存在较大的电磁转矩纹波、定子磁链纹波和电压/电流谐波畸变。为了保证十二扇区直接转矩控制方案的鲁棒性，减小定子电流的谐波畸变，应用人工智能技术(人工神经网络)提出了一种新的十二扇区开关表直接转矩控制方案。确定了电磁转矩、定子磁链和定子电流的谐波畸变，并与传统的十二扇区直接转矩控制方案进行了比较。在Matlab/Simulink软件中对所提出的开关表进行了仿真。对所提出的开关表进行了比较研究，以说明每种开关表对十二扇区直接转矩控制方案性能的优点。

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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Automation, Control and Intelligent Systems

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