Artículos de revistas
Nonlinear System Identification Of A Refrigeration System
Registro en:
International Journal Of Air-conditioning And Refrigeration. Worlds Scientific Publ Co Pte Ltd, v. 24, p. , 2016.
2010-1325
2010-1333
WOS:000391732600006
10.1142/S2010132516500243
Autor
Siqueira Dantas
Tarcisio Soares; Franco
Ivan Carlos; Frattini Fileti
Ana Maria; da Silva
Flavio Vasconcelos
Institución
Resumen
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Applications of advanced control algorithms are important in the refrigeration field to achieve low-energy costs and accurate set-point tracking. However, the designing and tuning of control systems depend on dynamic mathematical models. Approaches like analytical modeling can be time-consuming because they usually lead to a large number of differential equations with unknown parameters. In this work, the application of system identification with the fast recursive orthogonal least square (FROLS) algorithm is proposed as an alternative to analytical modeling to develop a process dynamic model. The evaporating temperature (EVT), condensing temperature (CDT) and useful superheat (USH) are the outputs of interest for this system; covariance analysis of the candidate inputs shows that the model should be single-input-single-output (SISO). Good simulation results are obtained with two different validation data, with average output errors of 0.0343 (EVT model), 0.0079 (CDT model) and 0.1578 (USH model) for one of the datasets, showing that this algorithm is a valid alternative for modeling refrigeration systems. 24 4 Coordination for Higher Education Staff Development (CAPES) Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)