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NEURO-ROBUST CONTROLLER FOR NON-LINEAR SYSTEMS

JUNE 2011   -  Volume: 86 -  Pages: 308-317

DOI:

https://doi.org/10.6036/3949

Authors:

JOSÉ LUIS CALVO ROLLE - IVÁN MACHÓN GONZÁLEZ - HILARIO LÓPEZ GARCÍA

Disciplines:

  • Industrial technology (PROCESOS INDUSTRIALES )
  • Industrial technology (INGENIERIA DE PROCESOS )

Downloads:   221

Cites in Web of Science:  27

How to cite this paper:  
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Received Date :   4 October 2010

Reviewing Date :   27 April 2011

Accepted Date :   2 May 2011


Key words:
Redes Neuronales, Control robusto, PID, sistemas no lineales, neural networks, robust control, PID, non-linear systems.
Article type:
ARTICULO DE INVESTIGACION / RESEARCH ARTICLE
Section:
RESEARCH ARTICLES

ABSTRACT
This work shows a new method to obtain the tuning parameters of a controller based on PID topology in standard format in order to lead the controlled system to a stable state. This technique is based on the well known Gain Scheduling method. Firstly, the system is identified for each key operating point obtaining the corresponding transfer functions by means of least squares techniques. Then the stability structures are calculated using the transfer functions aiming to train an artificial neural network which prevents the system from becoming unstable. Finally, the proposed method is experimentally verified on a laboratory plant.
Keywords: neural networks, robust control, PID, non-linear systems.

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