A Novel Method for Modelling a Thermopile Infrared Sensor in PSpice

DOI

10.2991/eame-15.2015.192How to use a DOI?

Keywords

neural network; PSpice; thermopile; model

Abstract

Presently, thermopile infrared sensors have been successfully commercialized in different application areas such as contactless temperature measurements and infrared detectors. In the process of designing the application circuit of thermopiles, circuit simulation is necessary to improve the efficiency of the circuit design. This work reports a method based on neural networks to model a thermopile infrared sensor, by which the fundamental characteristics including the temperature-voltage output characteristic, the frequency response characteristic, the angle characteristic and the optical characteristic are modelled in PSpice. Firstly, three appropriate neural networks are created and trained to approach each input-output characteristic respectively, after which the structures, weights and biases of each neural network are acquired. Secondly, the obtained structures are described with the PSpice programming language to establish sub-circuits respectively. Finally, these sub-circuits are integrated into a unitary circuit based on the relationship between the inputs and output of the sensor to form the final model.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - H.X. Chen
AU  - L.H. Xiang
AU  - L.M. Wang
PY  - 2015/07
DA  - 2015/07
TI  - A Novel Method for Modelling a Thermopile Infrared Sensor in PSpice
BT  - Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
PB  - Atlantis Press
SP  - 706
EP  - 709
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-15.2015.192
DO  - 10.2991/eame-15.2015.192
ID  - Chen2015/07
ER  -