Enhancing Gas Sensor Accuracy through Ripple Rejection in Switching Power Supplies
Enhancing Gas Sensor Accuracy through Ripple Rejection in Switching Power Supplies |
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© 2024 by IJETT Journal | ||
Volume-72 Issue-8 |
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Year of Publication : 2024 | ||
Author : Apinan Aurasopon, Sanya Kaunkid, Wanchai Khamsen, Nawarat Piladaeng |
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DOI : 10.14445/22315381/IJETT-V72I8P122 |
How to Cite?
Apinan Aurasopon, Sanya Kaunkid, Wanchai Khamsen, Nawarat Piladaeng,"Enhancing Gas Sensor Accuracy through Ripple Rejection in Switching Power Supplies," International Journal of Engineering Trends and Technology, vol. 72, no. 8, pp. 228-236, 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I8P122
Abstract
This research investigates methods to improve the accuracy of gas sensor measurements by mitigating the effects of voltage ripple in switching power supplies. Voltage ripple, inherent in switching power supplies, can introduce fluctuations in the power delivered to gas sensors, leading to inaccuracies in gas concentration measurements. In this study, we compare the performance of digital filtering techniques and a proposed ripple rejection method in reducing the impact of voltage ripple on gas sensor measurements. The experimental setup involves testing gas sensors under varying conditions of voltage ripple using both linear and switching power supplies. Digital filtering algorithms are applied to sensor data to attenuate voltage ripple effects, while the proposed ripple rejection method involves sensing and compensating for voltage ripple directly at the power supply input. Results from both methods are compared in terms of accuracy, precision, stability, and response time of gas sensor measurements. The findings of this study provide insights into the effectiveness of different approaches for mitigating voltage ripple effects in gas sensor applications. Furthermore, the research sheds light on practical strategies for improving the reliability and accuracy of gas sensor measurements in real-world environments.
Keywords
MQ gas sensors, TGS gas sensors, Switching power supply, Ripple voltage.
References
[1] MQ Series Gas Sensor, Robu, 2020. [Online]. Available: https://robu.in/mq-series-gas-sensor/
[2] Gas Sensors & Modules, Figarosensor. [Online]. Available: https://www.figarosensor.com/product/sensor/
[3] Hussein J. Khadim, Faik K. Obaed, and Ziad T. Abd Ali, “Application of MQ-Sensors to Indoor Air Quality Monitoring in Lab based on IoT,” International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE), Sana'a, Yemen, pp. 1-5, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Mochamad Irwan Nari et al., “The Portable Carbon Monoxide (CO) and Hydrocarbons (HC) Gas Detection System in the Car Cabin Uses the MQ-9 and TGS 2610 Sensors,” Indonesian Journal of Engineering Research, vol. 2, no. 1, pp. 12-17, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[5] LM317 3-Terminal Adjustable Regulator, Texas Instruments Incorporated, pp. 1-31, 2023. [Online]. Available: https://www.ti.com/lit/ds/symlink/lm317.pdf
[6] Rich Nowakowski, and Robert Taylor, “Linear Versus Switching Regulators in Industrial Applications with A 24-V,” Analog Applications Journal, pp. 1-7, 2013.
[Google Scholar] [Publisher Link]
[7] Shoffi Izza Sabilla, Riyanarto Sarno, and Joko Siswantoro, “Estimating Gas Concentration using Artificial Neural Network for Electronic Nose,” Procedia Computer Science, vol. 124, pp. 181-188, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Dedy Rahman Wijaya, Riyanarto Sarno, and Enny Zulaika, “Gas Concentration Analysis of Resistive Gas Sensor Array,” 2016 International Symposium on Electronics and Smart Devices (ISESD), Bandung, Indonesia, pp. 337-342, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[9] A.T. Ajiboye et al., “Analytical Determination of Load Resistance Value for MQ-Series Gas Sensors: MQ-6 as Case Study,” TELKOMNIKA Telecommunication, Computing, Electronics and Control, vol. 19, no. 2, pp. 575-582, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Miroslav Matejček, and Mikuláš Šostronek, “Low-Pass Filter Design with Microcontroller,” 2022 New Trends in Signal Processing (NTSP), Liptovský Mikuláš, Slovakia, pp. 1-8, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Curiores, Arduino Tutorials, 2022. [Online]. Available:
https://github.com/curiores/ArduinoTutorials/tree/main/BasicFilters/ArduinoImplementations/LowPass/SimpleExamples
[12] AnalogRead(), Arduino, 2023. [Online]. Available: https://www.arduino.cc/reference/en/language/functions/analog-io/analogread/