ANALISIS KINERJA KENDALI PID, FUZZY MAMDANI, DAN HYBRID FUZZY-PID UNTUK SISTEM KENDALI SUHU LEMARI OBAT FARMASI
DOI:
https://doi.org/10.59485/3a0gd946Kata Kunci:
Kendali Suhu, Lemari obat, PID, Fuzzy Mamdani, Hybrid Fuzzy - PIDAbstrak
Penelitian ini membandingkan kinerja kendali suhu PID konvensional, Fuzzy Mamdani, dan Hybrid Fuzzy-PID pada plant termal lemari obat orde dua (G(s)=1/(7200s²+180s+1)) dengan simulasi MATLAB/Simulink pada set point 25°C dan gangguan -5°C. Parameter evaluasi: rise time, settling time, overshoot, deviasi gangguan, recovery time, dan IAE. Hasil: PID dan Hybrid Fuzzy-PID identik (overshoot 5.31%, deviasi 6.33°C, IAE 1072), sedangkan Fuzzy Mamdani standalone inferior (overshoot 53.88%, deviasi 50.20°C, IAE 8836). Fuzzy Mamdani tidak direkomendasikan. Hybrid Fuzzy-PID direkomendasikan untuk implementasi jangka panjang karena adaptif terhadap perubahan parameter plant seiring waktu, meski performa setara dengan PID pada kondisi linear
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1. J. R. Allegra, J. Brennan, V. Lanier, R. Lavery, and B. MacKenzie, “Storage Temperatures of Out‐of‐hospital Medications,” Academic emergency medicine, vol. 6, no. 11, pp. 1098–1103, 1999.
2. J. F. Madden, R. E. O’Connor, and J. Evans, “The range of medication storage temperatures in aeromedical emergency medical services,” Prehospital Emergency Care, vol. 3, no. 1, pp. 27–30, 1999.
3. E. Wang, P. Tayebi, and Y.-T. Song, “Cloud-based digital twins’ storage in emergency healthcare,” International Journal of Networked and Distributed Computing, vol. 11, no. 2, pp. 75–87, 2023.
4. L. H. Brown and J. D. Campagna, “Medication storage in the EMS environment: understanding the science and meeting the standards,” Emerg Med Serv, vol. 34, no. 3, p. 71, 2005.
5. L. H. Brown, K. Krumperman, and C. J. Fullagar, “Out-of-hospital medication storage temperatures: a review of the literature and directions for the future,” Prehospital Emergency Care, vol. 8, no. 2, pp. 200–206, 2004.
6. K. H. Ang, G. Chong, and Y. Li, “PID control system analysis, design, and technology,” IEEE transactions on control systems technology, vol. 13, no. 4, pp. 559–576, 2005.
7. K. J. Åström and T. Hägglund, “The future of PID control,” Control Eng. Pract., vol. 9, no. 11, pp. 1163–1175, 2001.
8. E. A. Hakim, “Fuzzy PID based PSS design using genetic algorithm,” 2010.
9. A. Majid, E. D. Setioningsih, A. Kholiq, S. Y. Setiawan, and A. Suthar, “Comparative Analysis of PID and Fuzzy Temperature Control System on Infant Warmer,” Journal of Electronics, Electromedical Engineering, and Medical Informatics, vol. 4, no. 4, pp. 223–228, 2022.
10. Y. Bai and D. Wang, “Fundamentals of fuzzy logic control—fuzzy sets, fuzzy rules and defuzzifications,” in Advanced fuzzy logic technologies in industrial applications, Springer, 2006, pp. 17–36.
11. K. M. Passino and S. Yurkovich, Fuzzy control, vol. 42. Addison-wesley Reading, MA, 1998.
12. J. W. Moon, S. K. Jung, Y. Kim, and S.-H. Han, “Comparative study of artificial intelligence-based building thermal control methods–Application of fuzzy, adaptive neuro-fuzzy inference system, and artificial neural network,” Appl. Therm. Eng., vol. 31, no. 14–15, pp. 2422–2429, 2011.
13. L. O. Nall and R. J. Hathaway, “Fuzzy systems toolbox, fuzzy logic toolbox [software review],” IEEE Transactions on Fuzzy Systems, vol. 4, no. 1, p. 82, 1996.
14. B. Chen, X. P. Liu, S. S. Ge, and C. Lin, “Adaptive fuzzy control of a class of nonlinear systems by fuzzy approximation approach,” IEEE Transactions on Fuzzy Systems, vol. 20, no. 6, pp. 1012–1021, 2012.
15. J. Jing and Z. Xuesong, “Research on Fuzzy-PID control algorithm from the temperature control system,” in 2010 3rd international conference on computer science and information technology, IEEE, 2010, pp. 152–155.
16. J. Jing and Z. Xuesong, “Research on Fuzzy-PID control algorithm from the temperature control system,” in 2010 3rd international conference on computer science and information technology, IEEE, 2010, pp. 152–155.
17. A. H. Kuspranoto, “Design and Implementation of a Microbacteria Incubator with Fuzzy-PID Control System,” Emitor: Jurnal Teknik Elektro, pp. 192–198, 2025.
18. R. Abdrakhmanov, K. Berkimbayev, A. Seitmuratov, A. Ibashova, A. Aliyeva, and G. Nurmukhanbetova, “Intelligent Fuzzy-PID Temperature Control System for Ensuring Comfortable Microclimate in an Intelligent Building.,” International Journal of Advanced Computer Science & Applications, vol. 15, no. 3, p. 299, 2024.
19. G. Jahedi and M. M. Ardehali, “Genetic algorithm-based fuzzy-PID control methodologies for enhancement of energy efficiency of a dynamic energy system,” Energy Convers. Manag., vol. 52, no. 1, pp. 725–732, 2011.
20. M. Hojati and S. Gazor, “Hybrid adaptive fuzzy identification and control of nonlinear systems,” IEEE Transactions on Fuzzy Systems, vol. 10, no. 2, pp. 198–210, 2002.
21. N. W. Madebo, “Hybrid adaptive PID control strategy for UAVs using combined neural networks and fuzzy logic,” PLoS One, vol. 20, no. 8, p. e0331036, 2025.
22. A. Alimuddin, R. Arafiyah, I. Saraswati, R. Alfanz, P. Hasudungan, and T. Taufik, “Development and performance study of temperature and humidity regulator in baby incubator using fuzzy-pid hybrid controller,” Energies (Basel)., vol. 14, no. 20, p. 6505, 2021.
23. N. W. Madebo, “Enhancing intelligent control strategies for UAVs: A comparative analysis of fuzzy logic, fuzzy PID, and GA-optimized fuzzy PID controllers,” IEEE Access, vol. 13, pp. 16548–16563, 2025.
24. W. Z. Qiao and M. Mizumoto, “PID type fuzzy controller and parameters adaptive method,” Fuzzy Sets Syst., vol. 78, no. 1, pp. 23–35, 1996.
25. R. Babuška and H. B. Verbruggen, “An overview of fuzzy modeling for control,” Control Eng. Pract., vol. 4, no. 11, pp. 1593–1606, 1996.
26. K. Lu, Z. Liu, Y. Wang, and C. L. P. Chen, “Fixed-time adaptive fuzzy control for uncertain nonlinear systems,” IEEE transactions on Fuzzy Systems, vol. 29, no. 12, pp. 3769–3781, 2020.
27. J. Yu, P. Shi, W. Dong, and C. Lin, “Adaptive fuzzy control of nonlinear systems with unknown dead zones based on command filtering,” IEEE Transactions on Fuzzy Systems, vol. 26, no. 1, pp. 46–55, 2016.
28. J. C. Mugisha, B. Munyazikwiye, and H. R. Karimi, “Design of temperature control system using conventional PID and Intelligent Fuzzy Logic controller,” in 2015 International conference on fuzzy theory and its applications (iFUZZY), IEEE, 2015, pp. 50–55.
29. S. Almeida and M. Chen, “Adaptive Control of Autonomous Mobile Robots Using Fuzzy Logic Based PID Optimization,” Journal of Technology Informatics and Engineering, vol. 4, no. 3, pp. 403–416, 2025.
30. T. D. Hendrawati, F. A. Wicaksana, P. Narputro, and S. Rahayu, “Mamdani Fuzzy Logic-Based Room Temperature Monitoring And Control System,” Journal of Mechatronics and Artificial Intelligence, vol. 2, no. 1, pp. 59–70, 2025.
31. M. U. N. Aba, A. H. Kuspranoto, M. A. S. Yudono, N. B. U. Irawati, R. Puspita and D. M. Rani, "IoT-Enhanced Bacterial Incubator Monitoring System With PSO-PID Temperature Control," 2025 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS), Purwokerto, Indonesia, 2025, pp. 280-287, doi: 10.1109/AGERS67633.2025.11446428
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