%0 Conference Proceedings
%4 sid.inpe.br/mtc-m21c/2019/09.20.18.19
%2 sid.inpe.br/mtc-m21c/2019/09.20.18.19.44
%@issn 2177-3114
%T Use of artificial neural networks in satellite simulators
%D 2019
%A Rodrigues, Ítalo Pinto,
%A Oliveira, Priscylla Angélica da Silva,
%A Ambrósio, Ana Maria,
%A Chagas, Ronan Arraes Jardim,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Centro Universitário de Barra Mansa
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress italoprodrigues@gmail.com
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress ronan.arraes@inpe.br
%E Santos, Rafael Duarte Coelho Dos,
%E Mattos, Ariane Frassoni Dos Santos De,
%E Mello, Carina Barros,
%E Queiroz, Gilberto Ribeiro De,
%E Vasconcelos, Leandro Guarino De,
%E Vieira, Luis Eduardo Antunes,
%E Forti, Maria Cristina,
%E Gatto, Rubens Cruz,
%B Workshop em Engenharia e Tecnologia Espaciais, 10 (WETE)
%C São José dos Campos
%8 07-09 ago. 2019
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%S Anais
%K Artificial Neural Network, Electrical Power Supply Subsystem, System Identification, Space System Simulation.
%X Satellite operational simulator is a tool used to support the operation of a satellite. In this paper an Artificial Neural Network (ANN) was used to design models that describe parts of a satellites Electrical Power Supply Subsystem. The results are compared with previous research using an identification technique called n4sid and with the real telemetry values of the CBRS-4 satellite. The Artificial Neural Network produced better results, for all EPSS parameters (battery voltage, main error amplifier voltage and battery discharge regulator current) identified, than the n4sid identification. The models implemented with ANN shown to be sufficiently accurate for use in a satellite operational simulator.
%9 CSE
%@language pt
%3 [wete2019] italo.pdf