Realization of Solid Fractional Order Capacitor Using Common Materials

A. Jha, Aman Dubey, Debanjan Das
{"title":"Realization of Solid Fractional Order Capacitor Using Common Materials","authors":"A. Jha, Aman Dubey, Debanjan Das","doi":"10.1109/CMI50323.2021.9362745","DOIUrl":null,"url":null,"abstract":"Fractional order element is the most basic components for realization of fractional order systems. A solid fractional order capacitor (FOC) is observed to be capable of replacing bulky ladder RC circuits without altering the system’s behaviour. Instead of an ordinary, conventional and high cost semi-solid FOC, the idea is to design an economically viable solid FOC with low fabrication cost materials like carbon, nail enamel and araldite. This paper describes fabrication of FOC with copper as electrodes and dielectric mix of carbon, nail enamel and araldite, arranged in layers between the two electrodes, with a porous film layer in the middle. The proposed methodology exhibits combination of both resistive and capacitive behaviour, fractionally and for frequencies above 10 kHz, it works as a constant phase element (CPE) with constant phase angle (CPA) of 75o and corresponding $\\alpha$ value of 0.8333. The fractional behavior of the fabricated FOC is verified through filter realization with the help of already available Thomas Biquad Model over fractional order Chebyshev lowpass filters.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMI50323.2021.9362745","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Fractional order element is the most basic components for realization of fractional order systems. A solid fractional order capacitor (FOC) is observed to be capable of replacing bulky ladder RC circuits without altering the system’s behaviour. Instead of an ordinary, conventional and high cost semi-solid FOC, the idea is to design an economically viable solid FOC with low fabrication cost materials like carbon, nail enamel and araldite. This paper describes fabrication of FOC with copper as electrodes and dielectric mix of carbon, nail enamel and araldite, arranged in layers between the two electrodes, with a porous film layer in the middle. The proposed methodology exhibits combination of both resistive and capacitive behaviour, fractionally and for frequencies above 10 kHz, it works as a constant phase element (CPE) with constant phase angle (CPA) of 75o and corresponding $\alpha$ value of 0.8333. The fractional behavior of the fabricated FOC is verified through filter realization with the help of already available Thomas Biquad Model over fractional order Chebyshev lowpass filters.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用普通材料实现固体分数阶电容器
分数阶元素是实现分数阶系统最基本的组成部分。固体分数阶电容器(FOC)被观察到能够取代笨重的阶梯RC电路而不改变系统的行为。与普通的、传统的、高成本的半固态FOC不同,我们的想法是设计一种经济上可行的固体FOC,采用低制造成本的材料,如碳、指甲珐琅质和钠盐。本文介绍了以铜为电极,以碳、甲釉质和钠铝石为介质,在两电极之间分层排列,中间有多孔膜层的FOC的制备方法。所提出的方法表现出电阻性和容性的结合,在频率高于10 kHz的情况下,它作为恒相元件(CPE)工作,恒相角(CPA)为750,相应的$\alpha$值为0.8333。利用已有的Thomas Biquad模型在分数阶切比雪夫低通滤波器上进行滤波实现,验证了所制备的FOC的分数阶行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Multivariate Analysis of Formalin Using UV-Vis Spectroscopy Performance Comparison of Nonlinear State Estimators for State-of-Charge Estimation of Supercapacitor IoT based Intelligent Parking Management System Fractional Order Intelligent Controller for Single Tank Liquid Level System Sign Language Detection from Hand Gesture Images using Deep Multi-layered Convolution Neural Network
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1