Banca de QUALIFICAÇÃO: FRANCISCO DAS CHAGAS BARBOSA DE SENA

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
DISCENTE : FRANCISCO DAS CHAGAS BARBOSA DE SENA
DATA : 25/11/2016
HORA: 09:00
LOCAL: Auditório do PPGEEC
TÍTULO:

Use of Artificial Intelligence in Analysis and Design of Microstrip Antennas Considering Structures PBG and DGS

PALAVRAS-CHAVES:

Microstrip Antenna, Optimization, Genetic Algorithm, PBG, DGS.

PÁGINAS: 72
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
SUBÁREA: Telecomunicações
ESPECIALIDADE: Teoria Eletromagnetica, Microondas, Propagação de Ondas, Antenas
RESUMO:

The growth and development of technologies and wireless communication systems have created a strong need for the development of devices further efficient, compact and cheaper. In this context, in the last years, researches related to the development of antennas, in special, microstrip antenna, have call attention of researchers over the world, especially because this model of antenna presents important properties and a wide range of applications. Though, disadvantages such as low gain, narrow bandwidth and low radiation efficiency can limit its application in a particular system. In order to correct or reduce these disadvantages, the majority of the researches has been conducted by using PBG and DGS structures. However, both types of structures are highly dependent on the used arrangement, which turns difficult to obtain really efficient projects and develop specific design rules. Therefore, in order to improve the radiation characteristics of a rectangular microstrip antenna, this work proposes to use a computational optimization tool based on Genetic Algorithm (GA) in conjunction with a mathematical model, based on finite element, to obtain the best PBG and DGS arrangement.

MEMBROS DA BANCA:
Presidente - 1422265 - JOSE PATROCINIO DA SILVA
Interno - 2524053 - ANTONIO LUIZ PEREIRA DE SIQUEIRA CAMPOS
Externo à Instituição - HUMBERTO DIONISIO DE ANDRADE - UFERSA