| Rahim Mammadzada, Rufat Mammadzada Fuzzy Logic Control in Temperature Sensing Systems: An In-Depth Review of Sensor Integration Techniques |
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| Abstract. In this research paper, a thorough investigation of the integration of the temperature sensing systems that use various sensors with fuzzy logic control is made. DHT22 and LM35 are sensors known for their widespread use across diverse applications, and in this paper, their compatibility with fuzzy logic controllers undergoes a comprehensive analysis. The study delves into the distinctive features of each sensor, evaluating their characteristics under varying environmental conditions. Through a systematic examination of sensor integration techniques, the paper highlights the challenges and opportunities associated with incorporating fuzzy logic control. Practical considerations, including effectiveness and implementation feasibility, are also addressed. The findings offer valuable insights for researchers, engineers, and practitioners seeking to optimize temperature sensing systems, emphasizing the understanding of the integration with DHT22 and LM35 sensors. This research contributes to the existing body of knowledge in temperature control systems, providing a foundation for informed decision-making in sensor selection and system design across diverse domains. |
| Keywords: Fuzzy Logic, Thermal Regulation, Temperature Control, DHT22, LM35 |
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| DOI: https://doi.org/10.54381/itta2024.30 |