基于离散扩展卡尔曼滤波的绕线转子异步电动机状态估计

2018 International Conference on Power, Instrumentation, Control and Computing (PICC) Pub Date : 1900-01-01 DOI:10.1109/PICC.2018.8384810

S. S. Duvvuri, Lakshman Kumar Dangeti, Durga Prasad Garapati, Hepsiba Meesala

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引用次数: 11

摘要

文献中有许多绕线转子感应电动机模型。本文利用参照系理论提出了一种改进的扩展绕线转子异步电动机模型。采用离散时间扩展卡尔曼滤波(DTEKF)对所提出的wrm模型进行状态估计。在所有wrm应用中都需要转子电流传感器来进行状态估计。利用MATLAB科学环境R2016a对3.7 kW四极绕线转子异步电动机进行了分析仿真。结果表明，从转子角度出发，所提出的状态估计方法在实际应用中具有优势。

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State estimation for wound rotor induction motor using discrete-time extended Kalman filter

Many wound rotor induction motor models are available in the literature. In this paper, a modified extended wound rotor induction motor model using reference frame theory is presented. State estimation of the proposed WRIM model is carried out using discrete-time extended Kalman filter (DTEKF). Rotor current sensors are required for state estimation which are usually present in all WRIM applications. Analytical simulations are carried out for a 3.7 kW four-pole wound rotor induction motor using MATLAB scientific environment-version R2016a. The results show the advantage of the proposed state estimation in realistic applications from the rotor prospective.

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2018 International Conference on Power, Instrumentation, Control and Computing (PICC)

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