Fractional Order Butterworth Filter Design using Artificial Bee Colony Algorithm

被引：0
|
作者：
Dwivedi, Atul Kumar [1 ]
Bhatt, Sandeep Kumar [2 ]
Ghosh, Subhojit [2 ]
机构：
[1] Bhilai Inst Technol, Durg, India
[2] Natl Inst Technol, Raipur, Madhya Pradesh, India
来源：
2017 7TH INTERNATIONAL SYMPOSIUM ON EMBEDDED COMPUTING AND SYSTEM DESIGN (ISED) | 2017年
关键词：
Fractional order filter; Low passes Butterworth filter; Artificial Bee Colony Algorithm; Fractance device; Analog filter design; OPTIMIZATION;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Fractional order representation has been more effective in analyzing various physical systems more efficiently as compared to conventional integer order representation. Fractional order representation allows higher order integer systems to be replaced by small fractional order equivalent systems. In this paper, fractional order filters are designed using Swarm intelligence based evolutionary optimization algorithm. The designed filters have been compared with other state of the art evolutionary optimization techniques. In order to evaluate the order reduction by the proposed technique the designed filters are converted to equivalent higher order digital filter. The applicability of the designed filters for real time applications has been validated using TMS320F2812 DSP processor.
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页数：5
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