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- 저자 : Ana Maria Frattini Fileti (검색결과 2 건)
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Nonlinear System Identification of a Refrigeration System
Tarcísio Soares Siqueira Dantas,Ivan Carlos Franco,Ana Maria Frattini Fileti,Fl avio Vasconcelos da Silva 대한설비공학회 2016 International Journal Of Air-Conditioning and Refr Vol.24 No.4
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
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Fuzzy-PID Controller Applied to a Refrigeration System
JONES ERNI SCHMITZ,FLAVIO VASCONCELOS DA SILVA,ANA MARIA FRATTINI FILETI,LINCOLN CAMARGO NEVES FILHO,VIVALDO SILVEIRA JÚNIOR§ 대한설비공학회 2012 International Journal of Air-Conditioning and Refr Vol.20 No.2
A refrigeration system exhibits a dynamic behavior on which the variables are interdependent and subjected to oscillation, hence, implicating necessity of changes on operating conditions and undesirable energy expenses. These characteristics ratify the importance of adequate dimensioning and equipment selection to ¯nd pre-de¯ned operating conditions such as, the maximum cooling capacity and the evaporating and condensing temperatures. The application of fuzzy control in industrial processes is growing fast in the last decades, mainly in processes whose ¯rst principle models require complex methods to be simulated. In these cases, the fuzzy controllers'capacity of acting correctly based only on expert knowledge and on the capacity of inter-relating all the variables of the process are attractive features. This work presents the experimental development and evaluation of fuzzy-PID controllers for the maintenance of the evaporating temperature in a chiller. The system was submitted to load and set-point disturbances accomplishing an analysis based upon error parameters and transient response. The results showed that fuzzy controllers were adapted satisfactorily.
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