A Gauss-Newton ADALINE for Dynamic Phasor Estimation of Power Signals and Its FPGA Implementation

This paper presents a new hybrid adaptive filter based on modified Gauss-Newton adaptive linear element (MGNA) for estimating the fundamental and harmonic phasors along with the frequency change of nonstationary power system signals useful in many application areas that include system control, digit...

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Vydané v:	IEEE transactions on instrumentation and measurement Ročník 67; číslo 1; s. 45 - 56
Hlavní autori:	Nanda, Sarita, Dash, Pradipta Kishore
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.01.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive filters Adaptive linear element (ADALINE) Estimation field programmable gate array (FPGA) implementation modified Gauss–Newton algorithm Field programmable gate arrays Frequency estimation Harmonic analysis Hessian matrices Heuristic algorithms phasor estimation Phasors Power system harmonics Relaying State estimation Time-frequency analysis
ISSN:	0018-9456, 1557-9662
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