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Application of Recursive Least Squares Algorithm With Variable Forgetting Factor for Frequency Component Estimation in a Generic Input Signal

机译:可变遗忘因子递推最小二乘算法在通用输入信号频率分量估计中的应用

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摘要

Signal estimation is important for protection, system study, and control purposes. This paper deals with the application of a modified recursive least squares algorithm, based on a variable forgetting factor, for estimation of frequency components in a generic input signal. Application areas such as synchronization and control in three- and single-phase systems for various grid conditions as well as estimation of harmonic and subsynchronous components will be discussed. Advantages of the proposed method over the available techniques in terms of estimation speed, frequency selectivity, and noise rejection capability will be described. Finally, simulation and experimental results will be used to evaluate the dynamic performance of the proposed method.
机译:信号估计对于保护,系统研究和控制目的非常重要。本文讨论了基于变量遗忘因子的改进的递归最小二乘算法在通用输入信号中频率分量估计中的应用。将讨论应用领域,例如针对各种电网条件的三相和单相系统中的同步和控制,以及谐波和次同步分量的估计。在估计速度,频率选择性和噪声抑制能力方面,将描述所提出的方法相对于可用技术的优点。最后,仿真和实验结果将用于评估该方法的动态性能。

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