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MRAS 型转速估计器在感应电机驱动中的可靠性和高效性综述。

A review on MRAS-type speed estimators for reliable and efficient induction motor drives.

机构信息

Department of Electrical Machines, Drives and Measurements Wroclaw University of Science and Technology, Wroclaw, Poland.

Department of Electrical Machines, Drives and Measurements Wroclaw University of Science and Technology, Wroclaw, Poland.

出版信息

ISA Trans. 2019 Oct;93:1-13. doi: 10.1016/j.isatra.2019.03.022. Epub 2019 Apr 2.

Abstract

Induction machines have recently been very popular in variable-speed drives, because of their robust construction and relatively low manufacturing costs (brushless), maintenance-free and well-matured control methods. However, for high-precision control and efficiency optimization one needs the information on the rotor speed which can be measured using different speed sensors. All sensors require a mounting space and cabling, they also generate extra costs and reduce system reliability. Therefore, many of the recent research efforts have been dedicated to sensorless or encoderless electrical drives offering such considerable advantages as: lower cost, reduced size and hardware complexity of the drive system, elimination of sensor cables, lower maintenance requirements, possible operation in aggressive environment, higher noise immunity, reliable and user friendly operation. In this article all well-known sensorless techniques are shortly addressed, but the main focus is on the solutions based on the Model Reference Adaptive System (MRAS) concept. The mathematical models and schemes of all types of MRAS-type speed estimators known from the literature are gathered in this article. The comparative analysis of these speed estimators is done from the following points of view: the speed adaptation mechanism derivation based on the Lyapunov theory, stability problems near zero speed and in the regenerating operation mode, and the sensitivity of MRAS estimators to induction machine parameter changes.

摘要

感应电机由于其坚固的结构和相对较低的制造成本(无刷)、免维护和成熟的控制方法,最近在变速驱动中非常受欢迎。然而,对于高精度控制和效率优化,需要了解转子速度的信息,这可以使用不同的速度传感器来测量。所有的传感器都需要安装空间和电缆,它们还会产生额外的成本,并降低系统的可靠性。因此,许多最近的研究工作都致力于无传感器或无编码器的电气驱动,它们具有许多显著的优势,如:更低的成本、更小的尺寸和更简单的驱动系统硬件、消除传感器电缆、更低的维护要求、可能在恶劣环境中运行、更高的抗噪声能力、可靠和用户友好的操作。本文简要介绍了所有知名的无传感器技术,但主要重点是基于模型参考自适应系统(MRAS)概念的解决方案。本文收集了文献中所有类型的基于 MRAS 的速度估计器的数学模型和方案。从以下几个方面对这些速度估计器进行了比较分析:基于李雅普诺夫理论的速度自适应机制推导、零速和再生运行模式附近的稳定性问题,以及 MRAS 估计器对感应电机参数变化的敏感性。

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