IDENTIFICAÇÃO DO COMPORTAMENTO DA TEMPERATURA DO RETIFICADOR PRINCIPAL DE UMA LOCOMOTIVA DIESEL-ELÉTRICA

• Ano de defesa: 2010
• Autor(a) principal: Nogueira Neto, Bernardo
• Orientador(a): FONSECA NETO, João Viana da
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Maranhão
• Programa de Pós-Graduação: PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA DE ELETRICIDADE/CCET
• Departamento: Engenharia
• País: BR
• Palavras-chave em Português: Locomotiva diesel-elétrica; retificador de corrente elétrica; teoria de identificação de sistemas; função de transferência; modelo ARX; modelagem paramétrica de sistemas dinâmicos
• Palavras-chave em Inglês: Diesel-electric locomotive; rectifier; theory of system identification; transfer function; ARX model; parametric modeling of dynamic systems
• Área do conhecimento CNPq: CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA::SISTEMAS ELETRICOS DE POTENCIA
• Link de acesso: http://tedebc.ufma.br:8080/jspui/handle/tede/442

In this dissertation, we explore the application of the Theory of System Identification to develop a mathematical model that represents the behavior of the electrical current rectifier used to power the traction motors of a locomotive diesel-electric, based on mathematical manipulation of its temperature data. It was developed an ARX model and, using the aid of the computational system identification toolbox of MATLAB ®, simulations were made for estimation and validation of the order of the model that best describes the dynamic response of the physical system. The input and output data of the rectifier are obtained from the direct measurement of the output current of main generator, which is the input, and from the measurement of the temperature on the rectifier, which corresponds to the output. These data are used in developing the mathematical model of the system under study. The goal is to obtain a model that best represents the behavior of the main engine rectifier, allowing control actions to optimize the relation between supplied and required power of locomotive, so that downtime events resulting from self-protection mechanisms against high temperatures during operation of the rectifier in severe operations are minimized. As a result, we have a more advanced and efficient model that allows a strategy to monitoring the equipment at the various points of operation, considering their variation and ensuring a stable and safety locomotive's operation.