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The MQ-2 gas sensor's sensitivity and affordability make it a popular choice for detecting combustible gases including smoke, propane, and methane. However, it can't be used in hot or cold situations due to its limited operating temperature range of -10°C to 50°C. By making both hardware and simulation-based changes, this research seeks to improve the sensor's thermal range and operating stability. Changing the heater resistance and adding a pulse-width modulation (PWM) system that is controlled by a MOSFET and a microcontroller (like the ESP8266) to dynamically control the heater's output are two important upgrades. Despite changes in the surrounding environment, these adjustments aid in preserving the sensor's ideal sensing temperature. Additionally, it is suggested to integrate an operational amplifier (Op-Amp) or programmable gain amplifier (PGA) to solve low signal reliability at non-optimal temperatures. The behaviour of the sensor is modelled using simulation tools such as MATLAB/Simulink, which also confirm that the changes are successful. The MQ-2 is appropriate for demanding outdoor, industrial, and automotive applications because to its enhanced performance over a wider temperature range, as demonstrated by simulation and hardware validation results. This study offers a scalable method for improving metal-oxide semiconductor (MOS) gas sensors' thermal resistance and versatility.
Keywords:
MQ-2 gas sensor, Operating temperature range PWM control, Heater resistance modification, sensor simulation
Cite Article:
"Modification and Simulation of MQ-2 Gas Sensor to Enhance Its Operating Temperature Range", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.a163-a167, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512022.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator