|
|
Fractional-order LβCα filter circuit network |
Hong Zheng (洪铮)a, Qian Jing (钱晶)a, Chen Di-Yi (陈帝伊)b, Herbert H. C. Iuc |
a College of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China; b Department of Electrical Engineering, Northwest A & F University, Yangling 712100, China; c School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Crawley, WA 6009, Australia |
|
|
Abstract In this paper we introduce the new fundamentals of the conventional LC filter circuit network in the fractional domain. First, we derive the general formulae of the impedances for the conventional and fractional-order filter circuit network. Based on this, the impedance characteristics and phase characteristics with respect to the system variables of the filter circuit network are studied in detail, which shows the greater flexibility of the fractional-order filter circuit network in design. Moreover, from the point of view of the filtering property, we systematically study the effects of the filter units and fractional orders on the amplitude–frequency characteristics and phase–frequency characteristics. In addition, numerical tables of the cut-off frequency are presented. Finally, two typical examples are presented to promote the industrial applications of the fractional-order filter circuit network. Numerical simulations are presented to verify the theoretical results introduced in this paper.
|
Received: 23 January 2015
Revised: 17 March 2015
Accepted manuscript online:
|
PACS:
|
02.60.Cb
|
(Numerical simulation; solution of equations)
|
|
02.60.-x
|
(Numerical approximation and analysis)
|
|
02.30.-f
|
(Function theory, analysis)
|
|
02.90.+p
|
(Other topics in mathematical methods in physics)
|
|
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 51469011). |
Corresponding Authors:
Qian Jing
E-mail: qianjingkg@163.com
|
Cite this article:
Hong Zheng (洪铮), Qian Jing (钱晶), Chen Di-Yi (陈帝伊), Herbert H. C. Iu Fractional-order LβCα filter circuit network 2015 Chin. Phys. B 24 080204
|
[1] |
Handkiewicz A and Sniatala P 1995 Int. J. Circuit Theory Appl. 23 357
|
[2] |
Ismail A and Abidi A A 2004 IEEE International Solid-State Circuits Conference (ISSCC 2004), February, 2004, San Francisco, USA, p. 2269
|
[3] |
Lee I T and Liu S I 2012 IEEE Trans. Circuits Syst. I-Regul. Paper 59 315
|
[4] |
Tian X B and Xu H 2013 Chin. Phys. B 22 088501
|
[5] |
Dehkhoda F, Frounchi J and Al-Sarawi S 2014 Int. J. Circuit Theory Appl. 42 858
|
[6] |
Zhang X M, Chen J F and Peng J H 2010 Chin. Phys. B 19 090507
|
[7] |
Dhople S V, Johnson B B, Doerfler F and Hamadeh A O 2014 IEEE Trans. Circuits Syst. I-Regul. Paper 61 2677
|
[8] |
Liu S and Chen L Q 2013 Chin. Phys. B 22 100506
|
[9] |
DeLellis P, di Bernardo M and Garofalo F 2013 J. Circuit Theory Appl. 60 3033
|
[10] |
Jin X Z and Yang G H 2010 Chin. Phys. B 19 080508
|
[11] |
Radwan A G and Salama K N 2011 IEEE Trans. Circuits Syst. I-Regul. Paper 58 2388
|
[12] |
Tseng C C and Lee S L 2014 Signal Process. 95 111
|
[13] |
Li C P, Chen Y Q and Kurths J 2013 Philos. Trans. R. Soc. A-Math. Phys. Eng. Sci. 371 20130037
|
[14] |
Gupta M, Varshney P and Visweswaran G S 2011 Int. J. Circuit Theory Appl. 39 461
|
[15] |
Zhang S H, Chen B Y and Fu J L 2012 Chin. Phys. B 21 100202
|
[16] |
Chen W, Zhang J J and Zhang J Y 2013 Fract. Calc. Appl. Anal. 16 76
|
[17] |
Wang F Q and Ma X K 2013 Chin. Phys. B 22 030506
|
[18] |
Radwan A G and Fouda M E 2013 Circuits Syst. Signal Process. 32 2097
|
[19] |
Deng T B, Chivapreecha S and Dejhan K 2012 IEEE Trans. Circuits Syst. I-Regul. Paper 59 1766
|
[20] |
Xue W, Xu J K, Cang S J and Jia H Y 2014 Chin. Phys. B 23 060501
|
[21] |
Nagahara M and Yamamoto Y 2013 IEEE Trans. Signal Process. 61 4473
|
[22] |
Galvao R K H, Hadjiloucas S, Kienitz K H, Paiva H M and Afonso R J M 2012 IEEE Trans. Signal Process. 60 624
|
[23] |
Kumar R and Gupta V 2013 Chin. Phys. B 22 074601
|
[24] |
Elhadidy O, Elkholy M, Helmy A A, Palermo S and Entesari K 2013 IEEE Trans. Microw. Theory Tech. 61 3402
|
[25] |
Krishna M S, Das S, Biswas K and Goswami B 2011 IEEE Trans. Electron Dev. 58 4067
|
[26] |
Machado J A T and Galhano A M S F 2012 Nonlinear Dyn. 68 107
|
[27] |
Haba T C, Ablart G, Camps T and Olivie F 2005 Chaos, Solitons and Fractals 24 479
|
[28] |
Freeborn T J, Maundy B and Elwakil A 2013 Math. Probl. Eng. 726721
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|