Control deabeat discreto de un sistema de presión identificado mediante redes neuronales (Deabbeat discrete control throgh of the identification with neural networks for presure system)

Gianni Pezzotti (gianni.pezzotti@mlib.ic.cnr.it)1, Jaime Valencia (jvalenci@udea.edu.co)2, Nelson Londoño (nlondono@udea.edu.co)2


1Consiglio Nazionale delle Ricerche
2Universidad de Antioquia

This paper appears in: Revista IEEE América Latina

Publication Date: June 2012
Volume: 10,   Issue: 4 
ISSN: 1548-0992


Abstract:
This paper, is an application in the area of automatic control with artificial neural networks, for control of the pressure of a tank in the ethanol plant; with an algorithm deadbeat; with previously is realized calculus of coefficients of the neural network in method off line. The weights was calculates for the network backprogation, are explained the proceedings for the net and algorithm control, the results of real time control; the calculus of coefficient of net is realized with Matlab and control in C++. This technical of control utilizing neural networks is a good help instrument for resolved the problems of stabilizing and velocity.

Index Terms:
Deabbeat control , Neural networks, backpropagation, Industrial control   


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