Pengendalian Suhu Pada Sistem Pengering Surya Bifacial PV/T Menggunakan Fuzzy PID

Istiadji, Lydia Fitri Nur Istiadji (2026) Pengendalian Suhu Pada Sistem Pengering Surya Bifacial PV/T Menggunakan Fuzzy PID. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Indonesia memiliki potensi energi surya yang besar dan produksi perikanan yang tinggi, sehingga teknologi pengeringan berbasis energi surya menjadi salah satu alternatif yang relevan untuk mendukung proses pengolahan pascapanen ikan. Salah satu teknologi yang dapat dikembangkan adalah sistem pengering surya bifacial photovoltaic thermal (PV/T), karena sistem ini dapat memanfaatkan energi listrik dan panas dari radiasi matahari untuk mendukung proses pengeringan. Namun, suhu ruang pengering perlu dikendalikan agar tetap dekat dengan setpoint, karena fluktuasi suhu dapat memengaruhi kestabilan proses pengeringan dan kualitas produk. Penelitian ini bertujuan untuk memperoleh model matematis plant sistem pengering surya bifacial PV/T dalam bentuk model orde satu atau First Order Plus Dead Time (FOPDT), merancang pengendali PID dan Fuzzy PID, serta membandingkan kinerja kedua metode kontrol pada kondisi normal, gangguan aktuator, dan gangguan sensor. Model sistem direpresentasikan sebagai model termal orde satu dan disimulasikan menggunakan MATLAB/Simulink dengan setpoint suhu sebesar 323 K. Evaluasi kinerja dilakukan berdasarkan indikator rise time, settling time, overshoot, steady-state error, IAE, ISE, ITAE, dan control effort. Hasil simulasi menunjukkan bahwa PID cenderung memiliki respon awal yang lebih cepat dan nilai error integral yang lebih kecil pada beberapa skenario. Namun, Fuzzy PID menunjukkan kinerja yang lebih baik dari sisi kestabilan dan respon mendekati setpoint. Pada kondisi normal, Fuzzy PID menghasilkan settling time sebesar 175,8 s, lebih cepat dibandingkan PID sebesar 384,7 s, dengan steady-state error sebesar 0,0409 K. Pada gangguan aktuator, Fuzzy PID memiliki settling time sebesar 180,9 s dibandingkan PID sebesar 386,0 s, serta overshoot yang lebih kecil. Pada gangguan sensor, Fuzzy PID menghasilkan settling time sebesar 199,8 s dan steady-state error sebesar 0,0876 K. Berdasarkan hasil tersebut, metode kontrol Fuzzy PID lebih sesuai digunakan dalam pengendalian suhu, menjaga suhu akhir ruang pengering tetap stabil dan dekat dengan setpoint.
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Indonesia has large solar energy potential and high fisheries production, making solar energy based drying technology a relevant alternative to support post harvest fish processing. One technology that can be developed is the bifacial photovoltaic thermal (PV/T) solar dryer, as it can utilize both electrical and thermal energy from solar radiation to support the drying process. However, the drying chamber temperature needs to be controlled so that it remains close to the desired setpoint, since temperature fluctuations may affect drying stability and product quality. This research aims to obtain a mathematical model of the bifacial PV/T solar dryer system plant in the form of a first order model or First Order Plus Dead Time (FOPDT), design PID and Fuzzy PID controllers, and compare the performance of both control methods under normal conditions, actuator disturbances, and sensor disturbances. The system was represented using a first order thermal model and simulated in MATLAB/Simulink with a temperature setpoint of 323 K. The controller performance was evaluated using rise time, settling time, overshoot, steady-state error, IAE, ISE, ITAE, and control effort. The simulation results show that the PID controller tends to provide a faster initial response and lower integral error values in several scenarios. However, the Fuzzy PID controller performs better in terms of stability and closeness to the setpoint. Under normal conditions, the Fuzzy PID controller achieved a settling time of 175.8 s, which was faster than the PID controller with 384.7 s, and produced a steady-state error of 0.0409 K. Under actuator disturbance, the Fuzzy PID controller achieved a settling time of 180.9 s compared with 386.0 s for the PID controller, with a lower overshoot. Under sensor disturbance, the Fuzzy PID controller produced a settling time of 199.8 s and a steady-state error of 0.0876 K. Based on these results, the Fuzzy PID controller is more suitable to maintain the final drying chamber temperature stably and close to the setpoint.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Fuzzy PID, Kontrol suhu, Pengering surya bifacial PV/T, PID, Tiga skenario simulasi, Bifacial solar dryer PV/T, Fuzzy PID, PID, Temperature control, Three simulation scenarios
Subjects:	Q Science > QA Mathematics > QA401 Mathematical models. Q Science > QA Mathematics > QA402 System analysis. Q Science > QA Mathematics > QA9.64 Fuzzy logic
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Mathematics > 44201-(S1) Undergraduate Thesis
Depositing User:	Lydia Fitri Nur Istiadji
Date Deposited:	23 Jul 2026 06:14
Last Modified:	23 Jul 2026 06:14
URI:	http://repository.its.ac.id/id/eprint/135539

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