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Flux observer algorithms for direct torque control of brushless doubly-fed reluctance machines

机译:用于无刷双馈磁阻电机直接转矩控制的磁通观测器算法

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摘要

Direct Torque Control (DTC) has been extensively researched and applied to most AC machines during the last two decades. Its first application to the Brushless Doubly-Fed Reluctance Machine (BDFRM), a promising cost-effective candidate for drive and generator systems with limited variable speed ranges (such as large pumps or wind turbines), has only been reported a few years ago. However, the original DTC scheme has experienced flux estimation problems and compromised performance under the maximum torque per inverter ampere (MTPIA) conditions. This deficiency at low current and torque levels may be overcome and much higher accuracy achieved by alternative estimation approaches discussed in this paper using Kalman Filter (KF) and/or Sliding Mode Observer (SMO). Computer simulations accounting for real-time constraints (e.g. measurement noise, transducer DC offset etc.) have produced realistic results similar to those one would expect from an experimental setup.
机译:在过去的二十年中,直接转矩控制(DTC)已被广泛研究并应用于大多数交流电机。它在无刷双馈磁阻电机(BDFRM)上的首次应用是几年前才报道的,它是变速范围有限的驱动器和发电机系统(例如大型泵或风力涡轮机)的有前途的成本效益候选。但是,原始DTC方案在每逆变器最大转矩(MTPIA)条件下遇到磁通估计问题和性能下降。通过使用卡尔曼滤波器(KF)和/或滑模观测器(SMO)的本文中讨论的替代估计方法,可以克服低电流和低转矩水平下的这种缺陷,并获得更高的精度。考虑到实时约束(例如,测量噪声,传感器DC偏移等)的计算机模拟所产生的逼真结果与实验设置所期望的结果相似。

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  • 年度 2009
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  • 正文语种 {"code":"en","name":"English","id":9}
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