Perancangan Sistem Kendali Temperatur Outlet Heat Exchanger Berbasis Logika Fuzzy Gain Schedulling Untuk Tuning Parameter PID

Sabila, Bella Wahyu (2025) Perancangan Sistem Kendali Temperatur Outlet Heat Exchanger Berbasis Logika Fuzzy Gain Schedulling Untuk Tuning Parameter PID. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kemajuan ilmu pengetahuan dan teknologi dalam era Industri 4.0 mendorong otomatisasi di berbagai bidang industri untuk meningkatkan produktivitas, efisiensi, dan kualitas produk. Salah satu tantangan dalam industri kimia adalah pengendalian sistem yang bersifat non-linear, seperti pada heat exchanger tipe shell and tube. Sistem ini memiliki dinamika kompleks dan respons yang lambat, sehingga memerlukan strategi kendali yang adaptif dan cerdas. Penelitian ini dilakukan secara simulasi menggunakan MATLAB Simulink R2024b dan bertujuan untuk merancang serta membandingkan performa pengendali PID konvensional dengan Fuzzy Gain Scheduling PID pada sistem kendali temperatur outlet heat exchanger. Pengujian dilakukan secara closed loop dengan tiga skenario pengujian, yaitu pengujian tanpa gangguan, perubahan set point, dan gangguan temperatur inlet shell. Metode fuzzy digunakan untuk melakukan penjadwalan parameter PID secara otomatis berdasarkan besar error dan delta error sehingga pengendali dapat menyesuaikan diri secara real-time. Model matematis heat exchanger divalidasi menggunakan nilai MSE sebesar 0.1339 dan NMSE sebesar 0.3345, menunjukkan bahwa model layak digunakan untuk perancangan sistem kendali. Hasil pengujian terhadap sistem kontrol menunjukkan bahwa Fuzzy Gain Scheduling PID mampu meningkatkan performansi sistem secara signifikan dibandingkan dengan PID konvensional. Pengujian tanpa gangguan, pengendali fuzzy mempercepat settling time dari 161.18 detik menjadi 123.75 detik, menurunkan overshoot dari 22.09% menjadi 20.89%, dan mengurangi steady-state error dari 0.40% menjadi 0.26%. Pada skenario perubahan set point, sistem dengan pengendali fuzzy gain scheduling menunjukkan overshoot yang lebih kecil, settling time lebih singkat, dan steady-state error yang lebih rendah baik saat kenaikan maupun penurunan set point. Pengujian dengan gangguan temperatur inlet shell, pengendali Fuzzy Gain Scheduling PID menunjukkan efektivitas yang lebih tinggi dalam menjaga kestabilan sistem, ditunjukkan oleh nilai steady-state error yang lebih rendah, overshoot yang lebih kecil, serta settling time yang lebih cepat dibandingkan dengan pengendali PID konvensional. Selain itu, sistem mampu meredam gangguan dengan lebih baik dan menghasilkan respons yang lebih stabil terhadap perubahan kondisi proses.
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Advances in science and technology in the Industry 4.0 era have driven automation in various industrial fields to improve productivity, efficiency, and product quality. One of the challenges in the chemical industry is controlling non-linear systems, such as shell and tube heat exchangers. These systems have complex dynamics and slow responses, requiring adaptive and intelligent control strategies. This study was conducted using simulation with MATLAB Simulink R2024b and aimed to design and compare the performance of conventional PID controllers with Fuzzy Gain Scheduling PID in the outlet temperature control system of a heat exchanger. The testing was conducted in a closed loop with three test scenarios, namely testing without disturbance, set point changes, and shell inlet temperature disturbance. The fuzzy method was used to automatically schedule PID parameters based on the magnitude of the error and delta error so that the controller could adjust in real time. The mathematical model of the heat exchanger was validated using an MSE value of 0.1339 and an NMSE value of 0.3345, indicating that the model is suitable for control system design. The test results on the control system showed that Fuzzy Gain Scheduling PID significantly improved system performance compared to conventional PID. In the no-disturbance test, the fuzzy controller accelerated the settling time from 161.18 seconds to 123.75 seconds, reduced the overshoot from 22.09% to 20.89%, and reduced the steady-state error from 0.40% to 0.26%. In the set point change scenario, the system with the fuzzy gain scheduling controller showed smaller overshoot, shorter settling time, and lower steady-state error both during set point increases and decreases. In tests with inlet shell temperature disturbances, the Fuzzy Gain Scheduling PID controller demonstrated higher effectiveness in maintaining system stability, as indicated by lower steady-state error values, smaller overshoot, and faster settling time compared to the conventional PID controller. Additionally, the system was able to dampen disturbances more effectively and produce a more stable response to changes in process conditions.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Fuzzy Gain Scheduling, heat exchanger, kontrol adaptif, PID, pengendalian temperatur; sistem non-linear, Adaptive control, Fuzzy Gain Scheduling, heat exchanger, nonlinear system, PID, temperature control
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ217 Adaptive control systems
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Bella Wahyu Sabila
Date Deposited:	05 Aug 2025 09:55
Last Modified:	05 Aug 2025 09:55
URI:	http://repository.its.ac.id/id/eprint/127294

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