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首页> 外文期刊>ISA Transactions >Feedback linearization based sensorless direct torque control using stator flux MRAS-sliding mode observer for induction motor drive
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Feedback linearization based sensorless direct torque control using stator flux MRAS-sliding mode observer for induction motor drive

机译:基于反馈线性化的无传感器直接扭矩控制使用定子磁通MRAS滑动模式观察器进行感应电动机驱动器

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摘要

The high-performance Direct Torque Control (DTC) requires accurate knowledge of flux and speed information. Furthermore, the elimination of sensors leads to reduced overall cost and size of the electric drive system and subsequently improving its reliability. This paper proposes an effective sensorless direct torque control scheme for induction motor drive. The proposed scheme consists of enhancing the decoupling structure and variable estimation as well. Therefore, an enhanced direct flux and torque control based on feedback linearization is implemented in one hand. This allows obtaining a linear decoupled control together with minimized flux and torque ripples. In another hand, a combined sliding mode observer and model reference adaptive system is associated with the control scheme as sensorless algorithms for rotor speed and flux estimation. This conjunction is intended to enhance the sliding mode observer performances especially at low speed operations and reduce its sensitivity to noise and system uncertainties as well. The effectiveness of the proposed control algorithm has been verified through simulation and experimental work using MATLAB/Simulink software and dSpace 1104 implementation board respectively. (C) 2019 ISA. Published by Elsevier Ltd. All rights reserved.
机译:高性能直接扭矩控制(DTC)需要准确地了解助焊剂和速度信息。此外,消除传感器导致电驱动系统的总成本和尺寸减少,随后提高其可靠性。本文提出了一种用于感应电动机驱动的有效的无传感器直接扭矩控制方案。该方案也包括提高解耦结构和可变估计。因此,基于反馈线性化的增强的直接通量和扭矩控制是一方面实现的。这允许将线性分离控制与最小化的通量和扭矩涟漪一起获得。在另一只手中,组合的滑动模式观察者和模型参考自适应系统与控制方案相关联,作为转子速度和通量估计的无传感器算法。这种结合旨在增强滑动模式观察者性能,尤其是在低速操作中,并降低其对噪声和系统不确定性的敏感性。通过使用MATLAB / SIMULIND软件和DSPACE 1104实现板的模拟和实验工作验证了所提出的控制算法的有效性。 (c)2019 ISA。 elsevier有限公司出版。保留所有权利。

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