Resumen

VERDUGO, Diego; MATA, Paul; CORONEL, Alvarito  y  GONZALEZ, Javier. Identification of the model of a DC engine through graphic methods and parametric methods. RCTU [online]. 2017, vol.4, n.2, pp.68-77. ISSN 1390-7697.  https://doi.org/10.26423/rctu.v4i2.227.

This article presents the study to obtain the model of an engine-generator system (plant), we use graphical or parametric methods that will serve as tools to represent said system in a mathematical way. The signs were acquired through a DAQ system behavior before a step and PRBS signal, the data was processed through MATLAB software and IDENT toolbox, where through selection criteria described subsequently obtained an ARX model. The techniques studied were: parametric identification with the application of a PRBS signal and ARX model structure and nonparametric identification with the application of graphic methods. Then a comparison is made between The actual data with the different methods applied and it is obtained that the answers are very similar. The identification of systems serves to construct mathematical models of dynamic systems based on observed data, which has a set of techniques to build a process.

Palabras clave : Identification of systems; graphic method; pure first order method; ARX method.

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