3 years ago

An innovative fractional order LMS algorithm for power signal parameter estimation

Naveed Ishtiaq Chaudhary, Rizwan Latif, Muhammad Asif Zahoor Raja, J.A. Tenreiro Machado

Parameter estimation is an important issue for the quality monitoring and reliability assessment of power systems. In this study, an innovative fractional order least mean square (I-FOLMS) adaptive algorithm is presented for an effective parameter estimation. The I-FOLMS algorithm exploits the fractional gradient in its recursive parameter update mechanism, because its performance can be tuned by means of the fractional order. High values of the fractional order are good for fast convergence, but lead to steady state mis-adjustments. While, low values provide a smooth steady state behavior, but require a compromise in the convergence rate. The effective performance of I-FOLMS is verified and validated through two numerical examples of power signals estimation for different levels of noise variance and values of the fractional orders.

Publisher URL: https://www.sciencedirect.com/science/article/pii/S0307904X20301402

DOI: 10.1016/j.apm.2020.03.014

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