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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Veröffentlicht in:	IEEE transactions on instrumentation and measurement Jg. 67; H. 1; S. 45 - 56
Hauptverfasser:	Nanda, Sarita, Dash, Pradipta Kishore
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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