Journal Article

FZJ-2021-03610

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Harmonic Analysis and Self-Tuning Control Combining Wavelet Analysis and Identification for High-T c RF SQUID

Song, M.FZJ* ; Krause, H.-J.FZJ* ; Zhou, D. ; Li, J. (Corresponding author)

2021
IEEE New York, NY

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Please use a persistent id in citations: http://hdl.handle.net/2128/29600  doi:10.1109/TASC.2021.3106267

Abstract: High-Tc radio-frequency (rf) superconducting quantum interference devices are well understood and widely used in many areas of low-field measurement because of their high sensitivity and high resolution. Harmonic analysis has proven to be an efficient way for finding the optimum working point. However, there is a precondition for using harmonic analysis, which is not well understood so far. In this article, it is shown that the precondition can be fulfilled in the typical range of parameters and under our experimental conditions by using a direct mathematical derivation. It is demonstrated that the improvement of wavelet analysis in mean square error (MSE) is more than 50% for harmonic analysis. In addition, identification by forgetting factor recursive least square is a helpful way for self-tuning controller who gives fast tracking, small MSE and high coefficient of determination (R²) for harmonic analysis of different experimentally measured signals.

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Contributing Institute(s):

1. Bioelektronik (IBI-3)

Research Program(s):

1. 5241 - Molecular Information Processing in Cellular Systems (POF4-524) (POF4-524)

Appears in the scientific report 2021

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Database coverage:
; ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; Essential Science Indicators ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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