Hasudungan, Kevin Ezra Patar (2023) Rancang Bangun Sistem Pengendalian Level Mini Plant Separator Tiga Fasa Menggunakan Adaptive Neuro-Fuzzy Inference System Berbasis Internet Of Things. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Dalam industri oil & gas, proses separasi minyak mentah dilakukan menggunakan separator tiga fasa. Pengendalian separator tiga fasa perlu dilakukan agar hasil yang didapatkan lebih maksimal. Pada penelitian ini dilakukan perancangan sistem pengendalian menggunakan Adaptive Neuro-fuzzy Inference System (ANFIS). Sistem monitoring pada mini plant dapat dilakukan secara jarak jauh menggunakan Narrow-band Internet of Things (NB-IoT) yang terintegrasi dengan cloud database. Hasil penelitian menunjukkan bahwa sistem pengendalian ANFIS memiliki rise time yang lebih rendah sebesar 66.28 detik, maximum overshoot yang lebih rendah sebesar 3.5%, dan error sebesar 0.5% jika dibandingkan dengan sistem pengendalian PID konvensional. Pada pengendalian level minyak, sistem pengendalian ANFIS memiliki rise time yang lebih rendah sebesar 171.68 detik, overshoot maksimum yang lebih rendah sebesar 3.3%, dan juga error yang lebih rendah sebesar 1.9%. Sistem komunikasi NB-IoT dapat berkomunikasi secara real time dengan delay sebesar 120 ms.
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In the oil & gas industry, the crude oil separation process is carried out using a three-phase separator. Control of the three-phase separator needs to be done so that the results obtained are maximized. In this research, a control system design is carried out using the Adaptive Neuro-fuzzy Inference System (ANFIS). The monitoring system on the mini plant can be done remotely using Narrow-band Internet of Things (NB-IoT) integrated with a cloud database. The results show that the ANFIS control system has a lower rise time of 66.28 seconds, a lower maximum overshoot of 3.5%, and an error of 0.5% when compared to the conventional PID control system. In oil level control, the ANFIS control system has a lower rise time of 171.68 seconds, a lower maximum overshoot of 3.3%, and a lower error of 1.9%. The NB-IoT communication system can communicate in real time with a delay of 120 ms.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | three phase separator, control system, level control system, Separator tiga fasa, sistem kontrol, ANFIS, NB-IoT, kontrol level |
| Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ213 Automatic control. T Technology > TJ Mechanical engineering and machinery > TJ223 PID controllers |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Kevin Ezra Patar Hasudungan |
| Date Deposited: | 27 Jul 2023 03:31 |
| Last Modified: | 27 Jul 2023 03:31 |
| URI: | http://repository.its.ac.id/id/eprint/99632 |
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