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MAHATA, S. HERENCSÁR, N. KUBÁNEK, D. GÖKNAR, I. C.
Original Title
Optimized fractional-order Butterworth filter design in complex F-plane
Type
journal article in Web of Science
Language
English
Original Abstract
This paper introduces a new technique to optimally design the fractional-order Butterworth low-pass filter in the complex F-plane. Design stability is assured by incorporating the critical phase angle as an inequality constraint. The poles of the proposed approximants reside on the unit circle in the stable region of the F-plane. The improved accuracy of the suggested scheme as compared to the recently published literature is demonstrated. A mixed-integer genetic algorithm which considers the parallel combinations of resistors and capacitors for the Valsa network is used to optimize the frequency responses of the fractional-order capacitor emulators as part of the experimental verification using the Sallen-Key filter topology. The total harmonic distortion and spurious-free dynamic range of the practical 1.5th-order Butterwoth filter are measured as 0.13% and 62.18 dBc, respectively; the maximum and mean absolute relative magnitude errors are 0.03929 and 0.02051, respectively.
Keywords
Fractional-order system (primary); Analog filter approximation; F-domain; Fractional-order capacitor; Constrained optimization; Fractional-order Butterworth filter; Stability
Authors
MAHATA, S.; HERENCSÁR, N.; KUBÁNEK, D.; GÖKNAR, I. C.
Released
15. 9. 2022
Publisher
SPRINGERNATURE
Location
LONDON
ISBN
1311-0454
Periodical
Fractional Calculus and Applied Analysis
Year of study
25
Number
5
State
Republic of Bulgaria
Pages from
1
Pages to
17
Pages count
URL
https://link.springer.com/article/10.1007/s13540-022-00081-9
Full text in the Digital Library
http://hdl.handle.net/11012/208424
BibTex
@article{BUT179137, author="Shibendu {Mahata} and Norbert {Herencsár} and David {Kubánek} and Izzet Cem {Göknar}", title="Optimized fractional-order Butterworth filter design in complex F-plane", journal="Fractional Calculus and Applied Analysis", year="2022", volume="25", number="5", pages="17", doi="10.1007/s13540-022-00081-9", issn="1311-0454", url="https://link.springer.com/article/10.1007/s13540-022-00081-9" }