Design & Manufacturing

Korean Society of Die & Mold Engineering (한국금형공학회)
권호 표지

Optimal filter design at the semiconductor gas sensor by using genetic algorithm

유전알고리즘을 이용한 반도체식 가스센서 최적 필터 설계

  • Kong, Jung-Shik (Department of Mechanical Convergence Engineering, Induk University)
  • 공정식 (인덕대학교 융합기계공학과)
  • Received : 2022.02.17
  • Accepted : 2022.03.31
  • Published : 2022.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

This paper is about elimination the situation in which gas sensor data becomes inaccurate due to temperature control when a semiconductor gas sensor is driven. Recently, interest in semiconductor gas sensors is high because semiconductor sensors can be driven with small and low power. Although semiconductor-type gas sensors have various advantages, there is a problem that they must operate at high temperatures. First temperature control was configured to adjust the temperature value of the heater mounted on the gas sensor. At that time, in controlling the heater temperature, gas sensor data are fluctuated despite supplying same gas concentration according to the temperature controlled. To resolve this problem, gas and temperature are extracted as a data. And then, a relation function is constructed between gas and temperature data. At this time, it is included low pass filter to get the stable data. In this paper, we can find optimal gain and parameters between gas and temperature data by using genetic algorithm.

Keywords

References

  1. J. G. Kim, S. C. Jang, E. J. Shin, D. Y. Kim, J. H. Lee, and Y. S. Lee, "CO2 Sensing Characteristics of Carbon-nanofibers Based on Effects of Porosity and Amine Functional Group", Applied Chemistry for Engineering, Vol. 32, No. 1, pp. 47-52, 2012.
  2. S. H. Lee, J. S. Im, S. C. Kang, T. S. Bae, S. J. In, E. Jeoung, and Y. S. Lee, "An Increase in gas Sensitivity and Recovery of an MWCNT-based gas sensor system in reponse to an electric field", Vol.497, No.4-6, pp. 191-195, 2010. https://doi.org/10.1016/j.cplett.2010.08.002
  3. Gerhard Wiegleb and J. Heitbaum, "Semiconductor gas sensor for detecting NO and CO traces in ambient air of road traffic", Sensors and Actuators B: Chemical, Vol. 17, Issue 2, pp. 93-99, 1994. https://doi.org/10.1016/0925-4005(94)87035-7
  4. David E. Williams, "Semiconducting oxides as gas-sensitive resistors", Sensors and Actuators B: Chemical, Vol. 57, Issue 1-3, pp. 1-16, 1999. https://doi.org/10.1016/S0925-4005(99)00133-1
  5. C.H. Chang and S. K. Jeong, "Comparison of Rubustness of Sliding Mode and PI Control in DC Motor Speed Control System with Periodic Loads", Journal of the Korean Society for Power System Engineering, Vol. 22, No. 3, pp. 23-31, 2018. https://doi.org/10.9726/kspse.2018.22.3.023
  6. J.E. Beasley, P.C. Chu, "A genetic algorithm for the set covering problem", European Journal of Operational Research, Vol. 94, No. 2, pp 392-404, 1996. https://doi.org/10.1016/0377-2217(95)00159-X
  7. Manosij Ghosh, Ritam Guha, Imran Alam, Priyank Lohariwal, Devish Jalan and Ram Sarkar, "Binary Genetic Swarm Optimization: A Combination of GA and PSO for Feature Selection", Journal of Intelligent Systems, Vol. 29, No. 1, pp. 1598-1610, 2020. https://doi.org/10.1515/jisys-2019-0062