Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/28540
Title: Automação e modelagem de um ciclone secador de partículas: inteligência computacional
Authors: Barbosa, Bruno Henrique Groenner
Corrêa, Jefferson Luiz Gomez
Barbosa, Bruno Henrique Groenner
Leite, Daniel Furtado
Cavazzana, Erlon
Rocha, Roney Alves da
Keywords: Modelagem de sistemas
Identificação de sistemas
Inteligência computacional
Ciclone secador
System modeling
Identification of systems
Computational intelligence
Cyclone dryer
Issue Date: 31-Jan-2018
Publisher: Universidade Federal de Lavras
Citation: FONSECA, B. E. Automação e modelagem de um ciclone secador de partículas: inteligência computacional. 2018. 86 p. Dissertação (Mestrado em Engenharia de Sistemas e Automação)-Universidade Federal de Lavras, Lavras, 2017.
Abstract: Beholding the world demand for new energy sources and better energy improviment, modeling and controlling the variables of a process is necessary as engeneering design. This is due to the fact that in predicting the dynamic behavior of the variables of modeled processes, these system can be better understood and controlled. This work performs the modeling of the temperature inside a cyclone particle dryer by means of white, gray and black-box models. The process input variables are the number of resistors driven and the frequency of the inverter that controls the air flow. Eighteen step experiments were carried out to model the heating and flow of the cyclone and then extracted second - order models to obtain the static behavior of the system and subsequent modeling in a white-box. Four PRBS-type signals were applied to the inputs to obtain the ARX, ARMAX, ARX-Fuzzy Neuro and White Box models. The results demonstrated good fit of the models in all cases averaging R 2 greater than 85% and mean square error of less than 30 ◦ C. The ARX-Neuro Fuzzy model was verified through its surface and the results obtained through the White Box model. The proposed instrumentation also demonstrated its efficiency for obtaining data and temperature control.
URI: http://repositorio.ufla.br/jspui/handle/1/28540
Appears in Collections:Engenharia de Sistemas e automação (Dissertações)



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