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基于均匀分布电阻 - 电容结构和遗传算法的分数阶阻抗元件合成

Synthesis of elements with fractional-order impedance based on homogenous distributed resistive-capacitive structures and genetic algorithm.

作者信息

Ushakov Pyotr Arkhipovich, Maksimov Kirill Olegovich, Stoychev Stanislav Valerevich, Gravshin Vladimir Gennadievich, Kubanek David, Koton Jaroslav

机构信息

Faculty of Instrumentation Engineering, Kalashnikov Izhevsk State Technical University, Studencheskaya 7, 426 069 Izhevsk, Russian Federation.

Faculty of Electrical Engineering and Communication, Brno University of Technology, Technicka 3082/12, 616 00 Brno, Czech Republic.

出版信息

J Adv Res. 2020 Jun 26;25:275-283. doi: 10.1016/j.jare.2020.06.021. eCollection 2020 Sep.

DOI:10.1016/j.jare.2020.06.021
PMID:32922993
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7474240/
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.

摘要

该工作提出了一种电容性分数阶阻抗元件的合成方法,该元件由均匀分布的电阻 - 电容(RC)结构(线路)组成。该方法采用遗传算法,并搜索部分RC结构的最优连接方案和参数。详细描述了合成算法,包括为遗传算法目的对结构特性进行编码。介绍了设计工具的用户界面,并解释了合成的输入和输出参数。通过计算机模拟,特别是通过对厚膜技术制造的元件样品的测量,对该算法进行了验证。结果符合所需的阻抗特性,证实了合成方法的有效性。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e69c/7474240/e69383847b46/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e69c/7474240/2048ec552c82/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e69c/7474240/492e3abf0c24/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e69c/7474240/7cae78f57683/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e69c/7474240/3c095a06eb1b/gr10.jpg
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