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Estimation of harmonics in VSI-fed induction motor drives using Kalman filtering algorithm and extended Kalman filtering algorithm

机译:使用卡尔曼滤波算法和扩展卡尔曼滤波算法估算VSI感应电动机驱动器中的谐波

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摘要

The existence of harmonics in any power system is increasingly drawing attention due to wide applications of power electronic devices. These harmonics are not desirable because they degrade power quality and lead to stability problems. In inverter fed drives, due to presence of harmonics produce pulsating torque and give rise to jerky motion of the motor. Traditional Kalman filter model shows some limitations in noisy environment. However, extended Kalman filter is a superior alternative to linear Kalman filter and more effective in tracking these harmonics in the presence of noisy data. In this paper, a model of Kalman filter is used for harmonic estimation in 'VSI-fed induction motor drives' and die validity of simulation results was compared using an extended Kalman filter. The results show that the proposed extended Kalman filter (EKF) is a robust and accurate method of measurement of harmonic amplitudes and phase angles for the time-varying power signals.
机译:由于电力电子设备的广泛应用,任何电力系统中谐波的存在都日益引起人们的关注。这些谐波是不理想的,因为它们会降低电能质量并导致稳定性问题。在变频器供电的驱动器中,由于谐波的存在,会产生脉动转矩,并引起电动机的抖动。传统的卡尔曼滤波器模型在嘈杂的环境中显示出一些局限性。但是,扩展的卡尔曼滤波器是线性卡尔曼滤波器的优良替代方案,并且在存在噪声数据的情况下更有效地跟踪这些谐波。在本文中,将卡尔曼滤波器模型用于“ VSI感应电动机驱动器”中的谐波估计,并使用扩展卡尔曼滤波器比较了仿真结果的有效性。结果表明,所提出的扩展卡尔曼滤波器(EKF)是一种用于测量随时间变化的功率信号的谐波幅度和相位角的鲁棒且准确的方法。

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