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Vol. 109, Issue 10, October 2009, pp. 1-12

 

Bullet

 

Aspects of Gas Sensor’s Modeling and Implementation in a Dynamic Environment

 

1,*Hakim Baha, 1Zohir Dibi

1Laboratoire d’Electronique Avancée, Département d’Electronique, Université de Batna,
05 Avenue, Chahid Boukhlouf 05000 Batna, Algeria

Tel.: +213 33 80 54 94, fax: +213 33 80 54 94

E-mail: hakim_bahha@yahoo.fr

 

 

Received: 9 September 2009   /Accepted:  23 October 2009   /Published:  31 October 2009

 

Abstract: In this paper we design an artificial neural-network (ANN) model for gas sensors operating in dynamic environments; the goal of this study is to create a model incorporates intelligence that can automatically compensate for the nonlinear response characteristics and its nonlinear dependency on the environmental parameters. The gas sensor is an industrial resistive kind. Using neuronal networks and Matlab environment during the design phase and optimization, we have in the first hand created an analytical model ANN In the second hand a linearization and compensation using a corrector is applied to this model. The model and its corrector were implemented as components in the PSPICE simulator library. We have shown that the ANN model accurately expresses the nonlinear character of the response and the dependence in environmental parameters in the measure point forth more it depends on gas nature, the corrector linearize and compensate the sensors response.

 

Keywords: Gas sensor, Model ANN, Implementation, ABM, Corrector

 

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