Artificial Neural Networks Direct Torque Control of Single Inverter Feed Two Induction Motors

Kouadria Mohamed Elbachir, A. Ahmed
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Abstract

Nowadays the multi-inverter multi-machine conventional system takes a great interest of industrials like railway traction. The implementation of single inverter to dual motor makes all the system cheaper; soft operation, more robust and reliable; This paper is one of control methods proposed in the literature to improve performance of this system, a master slave and average control based in artificial neural networks direct torque control of bi asynchronous motors supplied by single three level inverter NPC is discussed. The result of theoretical analysis is tested with MATLAB SIMULINK environment. And through that, the possibility of DTC single inverter multi-motor system has been verified.
单逆变器馈入双异步电动机的人工神经网络直接转矩控制
目前,多逆变器多机常规系统已引起铁路牵引等行业的极大关注。单逆变器对双电机的实现使整个系统成本更低;软操作,更加稳健可靠;本文是文献中提出的提高系统性能的控制方法之一,讨论了一种基于人工神经网络的主从平均控制方法,用于单台三电平逆变器NPC供电的双异步电动机直接转矩控制。在MATLAB SIMULINK环境下对理论分析结果进行了验证。从而验证了直接转矩控制单逆变多电机系统的可行性。
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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