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Journal of applied research and technology

versión impresa ISSN 1665-6423

J. appl. res. technol vol.9 no.1 México abr. 2011

 

Noise Effect Reduction on a MEMS Based AC Voltage Reference Source Using Artificial Neural Network

 

Samane Sadat Hashemipour1, Amir Abolfazl Suratgar2,3*, Hamid Hoseini4

 

1 M.Sc. Student, Department of Electrical Engineering, Arak A. University, Arak, Iran.

2 Assistant Professor, Department of Electrical Engineering, Arak University, Arak, Iran.

3 Assistant Professor, Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. *E–mail: a–suratgar@araku.ac.ir, TEL: +98–861–223–2813, FAX:+98–861–222–5946.

4 Assistant Professor, Department of Electrical Engineering, Arak A. University, Arak, Iran.

 

ABSTRACT

This paper presents a new method in order to reduce noise effect in an AC voltage reference source. The AC voltage reference source is implemented on MEMS technology. It uses capacitive MEMS technology. The reference is based on the characteristic AC current–voltage curve MEMS component. The multilayer neural network is used. The neural network (NN) uses the Levenberg–Marquardt (LM) method for training. The noise effect on an electronic circuit is investigated. The simulation results are very promising.

Keywords: AC voltage reference source noise effect reduction, MEMS, Neural Network.

 

RESUMEN

El presente trabajo presenta un método nuevo para reducir el efecto de ruido en una referencia de fuente de voltaje de AC. La referencia de fuente de voltaje se implementa mediante tecnología MEMS; emplea tecnología capacitiva MEMS. La referencia se basa en la curva de corriente–voltaje de CA característica del componente MEMS. Se utiliza la red neuronal multicapas. La red neuronal (RN) usa el método Levenberg–Marquardt (LM) con fines de experimentación. Asimismo se investiga el efecto de ruido en un circuito electrónico. Los resultados de simulación son muy prometedores.

 

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