Modelagem Paramétrica de Cubas Eletrolíticas para Predição do Efeito Anódico.

• Ano de defesa: 2009
• Autor(a) principal: SILVA, Antonio José da
• Orientador(a): FONSECA NETO, João Viana da
• Banca de defesa: FONSECA NETO, João Viana da , SOUZA, Valeska Martins de , CATUNDA, Sebastian Yuri Cavalcanti
• 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: DEPARTAMENTO DE ENGENHARIA DA ELETRICIDADE/CCET
• País: Brasil
• Palavras-chave em Português: EstimaçãParamétrica; Função de Transferência; Modelo ARX, Modelo OE; Modelagem Paramétrica de Sistemas Dinâmicos; Cubas Eletrolíticas; Identificação de Sistemas; Efeito Anódico
• Palavras-chave em Inglês: Parametric Estimation; Transfer Function; ARX model, OE models; Parametric modeling of Dynamic Systems; Electrolytic Smelter Pot; System identification; Anode Effect
• Área do conhecimento CNPq: Eletrônica Industrial, Sistemas e Controles Eletrônicos.
• Link de acesso: http://tedebc.ufma.br:8080/jspui/handle/tede/1914

The Anode effect that occurs in electrolytic smelter pot is responsible for gases such as PFC s. These gases contribute to the greenhouse effect, and in addition jeopardizes its productive capacity. From the voltage (output) and current (input) are estimate ARX and OE models of the electrolytic smelter pot using the Systems Identification Theory, the ARX and OE models of the electrolytic smelter pot are built to represent the steady state operation and the anode effect occurrence. After the simulation are chosen the models with better adjustment to the measure exit. For the selection are used established criteria along the research, the ARX and OE models of electrolytic smelter pot, are built to represent the full state operation of the electrolytic smelter pot. Based on real data and via algebraic properties, the models generate the functions of specific transfer of each model that are validated with real data obtained in the industry, the answer in time, in the convergence frequency and speed are analyzed. From the transfer function is made the representation of the normal stage of operation of the electrolytic smelter pot, and by the properties of the estimate model is made the prediction the anode effect identifying the increase of the voltage in the validation stage. Therefore, this work introduces the investigation of ARX and OE parametric models how better represent the operation of the electrolytic smelter pot to can enable the prediction of the anode effect in the productive process of the aluminum. In this dissertation, we propose the models development in the domain of the continuous and discreet time with a study of her transitory answers and of steady state as well as your answer in frequency of your normal operation and in the phase that precedes the anode effect.