@Article{RodriguesOlivAmbrChag:2021:MoSaBa,
               author = "Rodrigues, Italo Pinto and Oliveira, Priscylla Ang{\'e}lica da 
                         Silva and Ambr{\'o}sio, Ana Maria and Chagas, Ronan Arraes 
                         Jardim",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Modeling satellite battery aging for an operational satellite 
                         simulator",
              journal = "Advances in Space Research",
                 year = "2021",
               volume = "67",
               number = "6",
                pages = "1981--1999",
                month = "Mar.",
             abstract = "During the satellite's operations, simulation tools perform an 
                         important role in ensuring the space mission success. In this 
                         sense, the models implemented in the context of an operational 
                         satellite simulator that enables analysis of health status and 
                         maintenance during operations shall reflect the current satellite 
                         behavior with high fidelity. Moreover, it is complicated to obtain 
                         all analytical models of a satellite's disciplines, considering 
                         its aging. This paper proposes an Artificial Neural Network (ANN) 
                         to reproduce the battery voltage behavior of a large 
                         sun-synchronous remote sensing satellite, the CBERS-4, currently 
                         in operation. Using the genetic algorithm to find the best network 
                         architecture of ANN, the neural model for this application 
                         presented an error of less than 1%, demonstrating its feasibility 
                         to obtain a high fidelity model for an operational simulator 
                         enabling extend analyses. The paper addresses advanced techniques 
                         aligned with the space industry's future, increasing the ability 
                         to analyze a large amount of data and improve the space system's 
                         operation.",
                  doi = "10.1016/j.asr.2020.12.031",
                  url = "http://dx.doi.org/10.1016/j.asr.2020.12.031",
                 issn = "0273-1177 and 1879-1948",
             language = "en",
           targetfile = "rodrigues_modeling.pdf",
        urlaccessdate = "20 maio 2024"
}