Sudrajat, Sapto Wahyu (2020) Rancang Bangun Sistem Pengendalian Fuzzy PI pada Mini Plant Separator Tiga Fasa Menggunakan Interface DCS Berbasis Wireless Sensor Network dan Iot Secara Real-time. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Separator tiga fasa berfungsi memisahkan material dari sumur pengeboran minyak menjadi fasa minyak, air, dan gas. Sistem kontrol yang sesuai harus diguankan untuk memastikan separator bekerja optimal. Saat ini, metode tuning PID tidak memberikikan respon sistem yang optimal. Beberapa masalah yang terjadinya adalah overshoot, steady state error, dan ketidakstabilan sistem. Selain itu, tuning sering dilakukan secara trial and error yang memakan waktu. Pada penelitian ini dilakukan perancangan sistem pengendalian dengan metode Fuzzy-PI, sistem monitoring dengan interface DCS dan IoT, serta sistem transmisi data dengan WSN. Sistem Fuzzy bekerja seperti logika manusia, tidak membutuhkan model matematis yang akurat, serta dapat bekerja pada sistem yang tidak linear.Hasil penelitian menunjukkan sistem pengendalian Fuzzy PI mempu meningkatkan performansi sistem pengendalian level dengan menghasilkan respom dinamik yang lebih baik dari sistem pengendalian PI yang ditunjukkan dengan nilai rise time 402 s, settling time 492 s, maximum overshoot 0.05%, dan error steady state 0.02%
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The three-phase separator functions to separate material from an oil well drilling into a phase of oil, water, and gas. Appropriate control systems must be used to ensure the separator is working optimally. Nowadays, the PID tuning method does not provide an optimal system response. Some of the problems that occur are overshoot, steady-state error, and system instability. Moreover, trial and error in tuning is often done until time runs out. In this research, a control system is designed using the fuzzy-PI method, a monitoring system with DCS and IoT interfaces, and also a data transmission system with WSN. Fuzzy systems work like human logic, do not require accurate mathematical models, and can work on systems that are not linear. The results showed that the Fuzzy PI control system improved the performance of the level control system by producing a better dynamic response compared to the PI controls indicated by the rise time of 402 s, settling time 492 s, maximum overshoot 0.05%, and steady state errors of 0.02%.
| Item Type: | Thesis (Other) |
|---|---|
| Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ213 Automatic control. T Technology > TJ Mechanical engineering and machinery > TJ217 Adaptive control systems T Technology > TJ Mechanical engineering and machinery > TJ223.P76 Programmable controllers T Technology > TJ Mechanical engineering and machinery > TJ223 PID controllers T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3070 Automatic control |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Sapto Wahyu Sudrajat |
| Date Deposited: | 25 Aug 2020 03:02 |
| Last Modified: | 05 Nov 2023 14:58 |
| URI: | http://repository.its.ac.id/id/eprint/80785 |
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