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Sensorless optimal power control of brushless doubly-fed machine in wind power generator based on extended kalman filter

机译:基于扩展卡尔曼滤波器的风力发电机无刷双馈电机无传感器最优功率控制

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摘要

This paper presents a sensorless maximum power point tracking control of brushless double fed machine for variable speed wind energy conversion system based on extended Kalman filter for estimation of rotor speed, The estimated rotational speed is used to regulate the aerodynamic power generated to the point of maximum energy capture, the control strategy for flexible power flow control is developed by applying power winding flux oriented vector control algorithm, the extended Kalman filter is employed to identify the rotor speed which is regarded as a parameter, the analyzed and simulation results in MATLAB/Simulink platform confirmed the good dynamic performance of the proposed sensorless maximal wind energy capture and effectiveness of the estimation of rotational speed at different wind speed.
机译:提出了一种基于扩展卡尔曼滤波器的无刷双馈变速风能转换系统无传感器最大功率点跟踪控制,用于估计转子转速,并将估算出的转速用于调节产生到最大点的空气动力。能量捕获,通过应用面向电力绕组的磁通矢量控制算法,开发了灵活的潮流控制策略,采用扩展的卡尔曼滤波器识别作为参数的转子转速,并在MATLAB / Simulink中进行了仿真分析该平台证实了所提出的无传感器最大风能捕获的良好动态性能以及在不同风速下估算转速的有效性。

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