Synthesis of Elements with Fractional-Order Impedance Based on Homogenous Distributed Resistive-Capacitive Structures and Genetic Algorithm

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Ushakov, Peter A.
Maksimov, Kirill
Stoychev, Stanislav Valerevich
Gravshin, Vladimir Gennadievich
Kubánek, David
Koton, Jaroslav

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Mark

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Elsevier
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Abstract

The work proposes a synthesis method of capacitive fractional-order impedance element which is composed of homogenous distributed resistive-capacitive (RC) structures (lines). The method employs genetic algorithm and searches for optimal connection schemes and parameters of the partial RC structures. The synthesis algorithm is described in detail including the coding of the properties of the structures for the purpose of the genetic algorithm. The user interface of the design tool is introduced and the input and output parameters of the synthesis are explained. The algorithm was verified by computer simulations and particularly by measurements of element samples fabricated in thick-film technology. The results correspond to the required impedance characteristics, which confirm the validity of the synthesis method.
The work proposes a synthesis method of capacitive fractional-order impedance element which is composed of homogenous distributed resistive-capacitive (RC) structures (lines). The method employs genetic algorithm and searches for optimal connection schemes and parameters of the partial RC structures. The synthesis algorithm is described in detail including the coding of the properties of the structures for the purpose of the genetic algorithm. The user interface of the design tool is introduced and the input and output parameters of the synthesis are explained. The algorithm was verified by computer simulations and particularly by measurements of element samples fabricated in thick-film technology. The results correspond to the required impedance characteristics, which confirm the validity of the synthesis method.

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Journal of Advanced Research. 2020, vol. 25, issue 1, p. 275-283.
https://www.sciencedirect.com/science/article/pii/S2090123220301302

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Peer-reviewed

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en

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Except where otherwised noted, this item's license is described as Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
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