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Vol. 104, Issue 5, April 2009, pp.96-108

 

 

Bullet

 

Optimization of a Novel Humidity Sensing Mechanism Strip Length

 

*Souhil KOUDA, Zohir DIBI, Abdelghani DENDOUGA, Samir BARRA

Batna University, 05 avenue Chahid Boukhlouf Batna, 05000, Algeria

E-mail: kouda-souhil@hotmail.fr

 

 

Received: 23 March 2009   /Accepted: 19 May 2009   /Published: 25 May 2009

 

Abstract: This work aims to achieve an optimization of a novel humidity sensing mechanism strip length, our idea is based primarily on the modeling of the sensing mechanism. Using neuronal networks and Matlab environment to accurately express the output of the sensing mechanism, this model thus take into account the non-linearity, the cross sensitivity and the resistance strips length. Secondly, we use the Matlab environment to create a database for an ideal model for the sensing mechanism, where the response of this ideal model is linear for any resistance strip length and temperature value. We have done the training to create an analytical model for the sensing mechanism ‘SM’ and the ideal model ‘IM’. After that we use the bias matrix and the weights matrix obtained by training to establish the SM model and the IM model on PSPICE simulator, where the output of the first is identical to the output of the resistive humidity sensing mechanism used and the output of the last is the ideal response. Finally a ‘DIF bloc’ is realized to make the difference between the SM output and the IM output, where this difference represents the linearity error, to identify the optimal resistance strip length we take the minimum error, an optimal length gives the best sensor.

 

Keywords: Resistive humidity sensor, Sensing mechanism, Neuronal network, MLP, Strip length

 

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