Analog active filter component selection with nature inspired metaheuristics

The most crucial design step for analog active filter design is the optimal selection of passive component values due to manufactured constants. Since the search on possible combinations in preferred values for capacitors and resistors is an exhaustive process, it has to be automated with high accur...

Full description

Saved in:
Bibliographic Details
Published in:International journal of electronics and communications 2013-03, Vol.67 (3), p.197-205
Main Authors: Vural, Revna Acar, Bozkurt, Ufuk, Yildirim, Tulay
Format: Article
Language:English
Subjects:
Analog active filters
Circuit optimization
Differential evolution
Harmony search
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The most crucial design step for analog active filter design is the optimal selection of passive component values due to manufactured constants. Since the search on possible combinations in preferred values for capacitors and resistors is an exhaustive process, it has to be automated with high accuracy within short computation time. In this work, two nature inspired metaheuristics, differential evolution (DE) and harmony search (HS) algorithms are utilized for optimal filter design considering different topologies and manufacturing series. Simulation results show that as global optimization methods both DE and HS minimize the total design error and reduce the elapsed time with respect to previously utilized methods.
ISSN:1434-8411
1618-0399
DOI:10.1016/j.aeue.2012.07.009