Optimal Design of (α + β)-Order Butterworth Filter and Its Realization Using RLβCα Circuit

S. Mahata, R. R. De (Maity)
{"title":"Optimal Design of (α + β)-Order Butterworth Filter and Its Realization Using RLβCα Circuit","authors":"S. Mahata, R. R. De (Maity)","doi":"10.1109/ICCECE51049.2023.10085113","DOIUrl":null,"url":null,"abstract":"This paper presents the implementation of an optimal fractional-order Butterworth filter (FBF) using the RLβCα, where 0 < α, β < 1, series circuit. Improved Particle Swarm Optimization algorithm is used to determine the coefficients of three s-domain based fractional-order transfer functions that approximate the FBF characteristics, such that the condition of 0 dB gain at DC is satisfied. Stability, roll-off, accuracy, and algorithm convergence for the proposed FBFs are evaluated. The proposed designs achieve significantly lower error as compared to the recent literature. The Bruton transformation, generalized to the fractional domain, is employed to realize inductor-less FBF circuits. Simulations are carried out in OrCAD PSPICE to verify the design feasibility.","PeriodicalId":447131,"journal":{"name":"2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCECE51049.2023.10085113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper presents the implementation of an optimal fractional-order Butterworth filter (FBF) using the RLβCα, where 0 < α, β < 1, series circuit. Improved Particle Swarm Optimization algorithm is used to determine the coefficients of three s-domain based fractional-order transfer functions that approximate the FBF characteristics, such that the condition of 0 dB gain at DC is satisfied. Stability, roll-off, accuracy, and algorithm convergence for the proposed FBFs are evaluated. The proposed designs achieve significantly lower error as compared to the recent literature. The Bruton transformation, generalized to the fractional domain, is employed to realize inductor-less FBF circuits. Simulations are carried out in OrCAD PSPICE to verify the design feasibility.
(α + β)阶巴特沃斯滤波器的优化设计及rl - β c - α电路实现
本文利用RLβCα(其中0 < α, β < 1)串联电路实现了最优分数阶巴特沃斯滤波器(FBF)。采用改进的粒子群优化算法确定了3个近似FBF特性的s域分数阶传递函数的系数,使其满足直流增益为0 dB的条件。评估了所提出的fbf的稳定性、滚转、精度和算法收敛性。与最近的文献相比,所提出的设计实现了显着降低的误差。将布鲁顿变换推广到分数阶域,实现了无电感FBF电路。在OrCAD PSPICE中进行了仿真,验证了设计的可行性。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信