Particle swarm optimization
for the design of square loop
frequency selective surfaces
considering a model of dielectric
effective permittivity
Mario A. Rodriguez Barrera
Universidad Distrital, Bogotá, Colombia, and
Walter Pereira Carpes Jr
Department of Electrical Engineering, GRUCAD/EEL/CTC/UFSC,
Florianópolis, Brazil
Abstract
Purpose – The purpose of this paper is to present the results of a particle swarm optimization
(PSO) method applied in the design of a square-loop frequency selective surface (FSS) via the
equivalent circuit model (ECM), considering the dielectric effective permittivity as a variable in the
optimization problem.
Design/methodology/approach – In the optimization process considered, besides the FSS square
loop geometric parameters, the thickness and relative permittivity of dielectric material used as
support are included as variables in the search space, using for this a model of dielectric effective
permittivity introduced by the authors in a previous work.
Findings – Square loops were designed and the obtained results were compared with designs
reported in literature for applications in wireless local area network and long-term evolution 4G
systems. The low computational cost is remarkable as well as the acceptable accuracy obtained with
the proposed approach. The PSO method results were implemented with the ECM and compared with
those obtained via Ansys – high frequency structure simulator commercial software simulations.
Originality/value – The lack of a model of dielectric effective permittivity for the ECM causes a
restricted search space in the stochastic FSS design process limited to only geometric parameters, as it
is reported in the available literature. The proposed approach simplifies and makes more flexible the
design process, and allows guiding the FSS design to unit cell surface and/or dielectric thickness of
small dimensions.
Keywords Particle swarm optimization, Dielectric effective permittivity, Equivalent circuit model,
Frequency selective surfaces
Paper type Research paper
1. Introduction
Frequency selective surfaces (FSS) are spatial electromagnetic filters that, due to its
electromagnetic behavior, are used to control the propagation of electromagnetic
energy in several scientific, industrial and military areas (Balanis, 2011; Wu, 1995;
Munk, 2005) and, in recent years, in wireless communication applications (Raspopoulos
and Stavrou, 2011; Subrt and Pechac, 2012; Li et al., 2011; Subrt et al., 2010; Valdez and
Campos, 2014).
Different numerical electromagnetic methods can be used to analyze the
electromagnetic behavior of FSS, as the finite element method, moments method or
the finite difference time domain method. The main disadvantage of this methods is the
COMPEL: The International
Journal for Computation and
Mathematics in Electrical and
Electronic Engineering
Vol. 35 No. 5, 2016
pp. 1643-1655
© Emerald Group Publishing Limited
0332-1649
DOI 10.1108/COMPEL-10-2015-0362
Received 6 October 2015
Revised 16 February 2016
Accepted 24 March 2016
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/0332-1649.htm
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Particle
swarm
optimization