Banca de DEFESA: PHELIPE SENA OLIVEIRA

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
DISCENTE : PHELIPE SENA OLIVEIRA
DATA : 06/02/2017
HORA: 09:00
LOCAL: Auditório do Departamento de Engenharia de Comunicações - CTEC
TÍTULO:

A New Technique for Planar Circuits Optimization Inspired on the Social Behavior of Spiders

PALAVRAS-CHAVES:

Bioinspired algorithms, swarm intelligence, social spider optimization, SSO framework, antenna, frequency selective surface, FSS.

PÁGINAS: 68
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
SUBÁREA: Telecomunicações
ESPECIALIDADE: Teoria Eletromagnetica, Microondas, Propagação de Ondas, Antenas
RESUMO:

Recent advances in telecommunications technology have increased the demand for lightweight, compact, and versatile microwave mobile devices. In this scenario, there has been a great deal of interest in new configurations of microwave devices and circuits, which has resulted in increased complexity in development processes, particularly for syntheses applications. To reduce these difficulties, a good alternative is the application of bioinspired algorithms in order to adapt the behavior of these new structures to the desired performance characteristics. In this context, the use of evolutionary algorithms through Genetic Algorithms (GAs), where the main objective is the survival of the strongest individuals, was one of the first successful  approaches in solving complex problems. Another aspect in evidence in recent years is the intelligence of swarms, in which individuals or agents work together for the common good. Among these, one of the main representatives is Particle Swarm Optimization (PSO). On the other hand, antennas and frequency selective surfaces (FSSs) are very important structures in communications systems, which can be optimized by the performance of the bioinspired algorithms. For the bioinspired algorithms to aid in the optimization of these structures it is necessary to implement numerical analysis techniques such as the Method of Moments or Finite Elements. Faced with the difficulty of modeling the described techniques, alternatives such as hybridization have been developed. For example, a developed solution consists of joining a bioinspired algorithm with an estimation function, such as artificial neural networks (ANNs), or with interpolation methods. Although it is possible to find desired solutions with hybridization, the estimations are performed after a training process carried out through a database that can be formed by input and output sets. Each antenna or FSS structure requires particular training databases. This work proposes an optimization technique based on the use of a bioinspired algorithm and a framework that performs the coupling of the algorithm to the commercial ANSYS HFSS software. The purpose is to perform simulation of the potential solutions during the execution of the bioinspired algorithm, and with that, to avoid the use of a database, and to make the proposed model efficient and flexible with respect to variations in the antennas and FSSs structures. Another original objective of this work is the use of the Social Spider Optimization (SSO) algorithm for solving problems in the applied electromagnetism area. The SSO algorithm is based on the intelligence of swarms and presents as differential characteristic the modeling of individuals with different behaviors among themselves, which can improve the scanning in the search space. To prove the effectiveness of the proposed technique, several antenna and FSS designs are optimized through variations in their structural parameters. Initially, it is desired to improve the bandwidth of an antenna to act as an ultra wide band. Then, the optimization of an FSS structure is performed to ensure a specific behavior in terms of resonant frequency and bandwidth. Subsequently, the proposed technique is used to improve the size reduction of a microstrip antenna using two miniaturization techniques. The results obtained in the optimization of the circuits designs are compared with those of other techniques, and good agreement is observed.

MEMBROS DA BANCA:
Presidente - 6345784 - ADAILDO GOMES D ASSUNCAO
Interno - 349732 - LAERCIO MARTINS DE MENDONCA
Externo à Instituição - ADAILDO GOMES D ASSUNCAO JUNIOR - IFPB
Externo à Instituição - GERVASIO PROTASIO DOS SANTOS CAVALCANTE - UFPA
Externo à Instituição - GLAUCO FONTGALLAND - UFCG
Externo à Instituição - JOSE DE RIBAMAR SILVA OLIVEIRA - IFRN