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This study presents the design and implementation of two thermal control schematics for a microbiological incubator for which the performance of a classic Proportional-integral (PI) and a Fuzzy Inference System (FIS) is compared. To obtain experimental validation, a microbiological incubator was designed and built. Then, the construction of said incubator’s prototype is described, along with the design and implementation of both PI and FIS controllers. Results demonstrate that both controllers display a satisfactory response to temperature management. Although the PI controller has practical and stable answers, the FIS shows higher system adaptability. It is evidenced that both strategies are suitable for the temperature control of the incubator and that the choice between PI or FIS lies within the individual necessities and parameters of a chosen process. This study serves as a foundation for future research as it concerns thermal control strategies for systems of the same type.
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A. J. K. Pambudi, F. I. Hariadi and M. I. Arsyad, "Development of low-cost reflow oven for SMT assembly," 2017 International Symposium on Electronics and Smart Devices (ISESD), Yogyakarta, Indonesia, 2017, pp. 51-56, doi: 10.1109/ISESD.2017.8253304.
Ruomei Qi, Jiarong Li, Jin Lin, Yonghua Song, Jiepeng Wang, Qiangqiang Cui, Yiwei Qiu, Ming Tang, Jian Wang, Design of the PID temperature controller for an alkaline electrolysis system with time delays, International Journal of Hydrogen Energy,Volume 48, Issue 50, 2023,Pages 19008-19021,ISSN 0360-3199.
R. Aguilar, A. Poznyak, R. Mart??nez-Guerra, R. Maya-Yescas, Temperature control in catalytic cracking reactors via a robust PID controller, Journal of Process Control, Volume 12, Issue 6, 2002, Pages 695-705, ISSN 0959-1524.
C. Haissig, "Adaptive fuzzy temperature control for hydronic heating systems," in IEEE Control Systems Magazine, vol. 20, no. 2, pp. 39-48, April 2000, doi: 10.1109/37.833639.
Y. -X. Wang, F. -F. Qin, K. Ou and Y. -B. Kim, "Temperature Control for a Polymer Electrolyte Membrane Fuel Cell by Using Fuzzy Rule," in IEEE Transactions on Energy Conversion, vol. 31, no. 2, pp. 667-675, June 2016, doi: 10.1109/TEC.2015.2511155.
Jin Woo Moon, Sung Kwon Jung, Youngchul Kim, Seung-Hoon Han, Comparative study of artificial intelligence-based building thermal control methods – Application of fuzzy, adaptive neuro-fuzzy inference system, and artificial neural network,Applied Thermal Engineering, Volume 31, Issues 14–15,2011,Pages 2422-2429,ISSN 1359-4311.
J. A. Vieira, F. M. Dias and A. M. Mota, "Hybrid neuro-fuzzy network-priori knowledge model in temperature control of a gas water heater system," Fifth International Conference on Hybrid Intelligent Systems (HIS'05), Rio de Janeiro, Brazil, 2005, pp. 6 pp.-, doi: 10.1109/ICHIS.2005.60.
Campos, L., Mines, C., & Talledo, A. (2015). http://repositorio.unac.edu.pe. Obtenido de http://repositorio.unac.edu.pe/handle/20.500.12952
Hu, Yuh-Chung & Chen, Ping-Jung & Chang, Pei-Zen. (2019). Thermal-Feature System Identification for a Machine Tool Spindle. Sensors. 19. 1209. 10.3390/s19051209.
Warren, JD., Adams, J., Molle, H. (2011). Arduino for Robotics. In: Arduino Robotics. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4302-3184-4-2
S. Fuller, B. Greiner, J. Moore, R. Murray, R. van Paassen and R. Yorke, "The Python Control Systems Library (python-control)," 2021 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA, 2021, pp. 4875-4881, doi: 10.1109/CDC45484.2021.9683368.
/2505Controlautomaticoeducacion.com. Disponible en línea: https://controlautomaticoeducacion.com/matlab/grafica-animada-en-2d-con-matlab/ (6, junio,2022)
Nagarajan, C. & Muthusamy, Madheswaran. (2011). Stability Analysis of Series Parallel Resonant Converter with Fuzzy Logic Controller Using State Space Techniques. Electric Power Components and Systems. 39. 780-793. 10.1080/15325008.2010.541746.