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Modeling and RFOC of faulty three-phase IM using Extended Kalman Filter for rotor speed estimation

机译:故障三相IM的建模和RFOC的扩展卡尔曼滤波器的转子速度估计

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摘要

This research discusses d-q model and Rotor Flux-Oriented Control (RFOC) technique for faulty three-phase Induction Motor (three-phase IM when one of the stator phases is opened). In the controlling technique, two transformation matrixes are applied to the equations of faulty three-phase IM. As a result, the equations of faulty three-phase IM become similar to the balanced IM. Therefore, by employing some modifications in the conventional block diagram of the balanced IM, faulty motor control is possible. Additionally, for high performance vector control of the faulty IM, an Extended Kalman Filter (EKF) is used for motor speed estimation. Simulation results demonstrate the validity and applicability of this technique to improve performance of the faulty IM.
机译:这项研究讨论了故障三相感应电动机(定子某一相断开时为三相IM)的d-q模型和面向转子磁通的控制(RFOC)技术。在控制技术中,将两个变换矩阵应用于故障三相IM的方程。结果,故障三相IM的方程变得类似于平衡IM。因此,通过对平衡IM的常规框图进行一些修改,可能会导致错误的电机控制。此外,为了对故障IM进行高性能矢量控制,可使用扩展卡尔曼滤波器(EKF)进行电机速度估算。仿真结果证明了该技术提高故障IM性能的有效性和适用性。

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