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Mathematical modeling for SnO2 gas sensor based on second-order response


Moshayedi, Ata Jahangir and Toudeshki, Arash Mohammadi and Gharpure, Dayamanti C. (2013) Mathematical modeling for SnO2 gas sensor based on second-order response. In: 2013 IEEE Symposium on Industrial Electronics & Applications (ISIEA2013), 22-25 Sept. 2013, Pullman Kuching Hotel, Kuching, Sarawak. (pp. 33-38).


Sensors, work on the entrance gate for exploring dynamic environments and system response. The sensor behavior plays an important role in system modeling. Therefore, finding the mathematical model, which can describe the sensor response with maximum information over time in different environments and situations, is necessary. This paper, attempts to model the optimal transfer function of the SnO2 type gas sensor (TGS 813) for transient response and steady-state zones, based on the acquired data of the sensor. The model could be used to obtain the mathematical equation for the response, as a transfer function based on different concentrations, for the specific temperature and humidly. The data analysis has been done with Matlab software, and Genetic algorithm is further used to optimize the transfer function parameters. Moreover, the effect of variation in concentration on the transfer function coefficients has been explored. The results show that the modeling can be helpful for sensor response behavior simulation as well as physical and chemical reaction investigation.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Centre for Advanced Power and Energy Research
Faculty of Engineering
DOI Number: https://doi.org/10.1109/ISIEA.2013.6738963
Publisher: IEEE
Keywords: Gas sensor; TGS 813; Transfer function model; Transient estimation; Genetic algorithm (GA); Second-order response
Depositing User: Nabilah Mustapa
Date Deposited: 04 Aug 2020 02:37
Last Modified: 04 Aug 2020 02:37
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ISIEA.2013.6738963
URI: http://psasir.upm.edu.my/id/eprint/44912
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