Perancangan Fuzzy-PI Controller Untuk Pengendalian Laju Aliran Air Pada Seawater Reverse Osmosis Plant PT POMI Unit 7 dan 8

Khoirunnisa, Rifdah (2026) Perancangan Fuzzy-PI Controller Untuk Pengendalian Laju Aliran Air Pada Seawater Reverse Osmosis Plant PT POMI Unit 7 dan 8. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sistem seawater reverse osmosis (SWRO) di PT Paiton Operation and Maintenance Indonesia (POMI) Unit 7 dan 8 berperan sebagai pemasok utama air demineralisasi untuk siklus operasional pembangkit. Kestabilan laju aliran air pada sistem ini dikendalikan oleh pengendali PI controller dengan metode tuning parameter trial and error (Kp = 1,20; Ti = 90,0 s). Namun, identifikasi sistem berbasis data historis DCS (14 Januari 2026) mengungkap bahwa SWRO plant memiliki karakteristik dead-time dominant (θ/τ > 1) dengan rasio θ/τ = 1,13, sehingga parameter PI statis rentan menghasilkan respons yang tidak optimal pada kondisi dinamis. Penelitian ini merancang Fuzzy-PI controller sebagai alternatif, di mana modul fuzzy beroperasi memperbarui nilai ΔKp dan ΔKi berdasarkan galat dan laju perubahan galat secara real-time. Simulasi berbasis MATLAB dan pengujian langsung pada plant dilakukan untuk menguji hasil dari perancangan fuzzy-PI controller. Pengujian pada plant menggunakan data operasional DCS (23 Januari 2026) menunjukkan bahwa Fuzzy-PI controller menghasilkan respons transien yang lebih baik dibandingkan PI controller dengan trial-and-error tuning, ditunjukkan oleh penurunan overshoot rata-rata dari 57,2% menjadi 0%, percepatan settling time dari 57,4 s menjadi kurang dari 3,75 s, serta penurunan steady-state error rata-rata dari 1,50 m³/jam menjadi 0,28 m³/jam. Temuan ini mengkonfirmasi bahwa fuzzy-PI controller lebih adaptif dalam menangani karakteristik dead-time dominant pada sistem SWRO, dan berpotensi untuk dipertimbangkan sebagai sistem kontrol lanjutan di PT POMI Unit 7 dan 8. ======================================================================================================================================
The Seawater Reverse Osmosis (SWRO) system at PT Paiton Operation and Maintenance Indonesia (POMI) Units 7 and 8 serves as the primary supplier of demineralized water for power plant operations. The stability of the water flow rate in this system is currently regulated by a PI controller tuned using a trial-and-error method (Kp = 1.20; Ti = 90.0 s). However, system identification based on historical Distributed Control System (DCS) data collected on January 14, 2026, revealed that the SWRO plant exhibits dead-time dominant characteristics (θ/τ > 1) with a θ/τ ratio of 1.13. As a result, fixed PI parameters are prone to producing suboptimal responses under dynamic operating conditions. This study proposes a Fuzzy-PI controller as an alternative control strategy, in which a fuzzy inference module adaptively updates the values of ΔKp and ΔKi in real time based on the error and the rate of change of error. MATLAB-based simulations and direct plant testing were conducted to evaluate the performance of the proposed Fuzzy-PI controller. Plant testing using operational DCS data collected on January 23, 2026, showed that the Fuzzy-PI controller achieved superior transient performance compared to the trial-and-error tuned PI controller, as indicated by a reduction in average overshoot from 57.2% to 0%, a decrease in settling time from 57.4 s to less than 3.75 s, and a reduction in average steady-state error from 1.50 m³/h to 0.28 m³/h. These findings indicate that the Fuzzy-PI controller is more adaptive in handling the dead-time dominant characteristics of the SWRO system and has the potential to be considered as an advanced control strategy for PT POMI Units 7 and 8.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	control system, fuzzy-PI controller, laju aliran air, seawater reverse osmosis, sistem kontrol, water flow rate
Subjects:	Q Science Q Science > QC Physics Q Science > QC Physics > QC151 Fluid dynamics
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis
Depositing User:	Rifdah Khoirunnisa
Date Deposited:	22 Jul 2026 06:44
Last Modified:	22 Jul 2026 06:44
URI:	http://repository.its.ac.id/id/eprint/136560

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