Perancangan Sistem Kendali Temperatur Di Unit Direct-Fired Thermal Oxidizer Berbasis Model Predictive Control Di PT.ABC

Miftahuzaman, M Akbar (2025) Perancangan Sistem Kendali Temperatur Di Unit Direct-Fired Thermal Oxidizer Berbasis Model Predictive Control Di PT.ABC. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Thermal Oxidizer adalah sebuah perangkat yang digunakan di banyak Industri sebagai perangkat yang berfungsi untuk membakar gas buangan.Model predictive Control adalah metode pengendalian proses tingkat lanjut yang digunakan untuk mengendalikan suatu proses dan mampu memprediksi disturbance sebelum terjadi untuk meminimalisir efek disturbance error. Particle Swarm Optimization adalah sebuah metode untuk menyelesaikan permasalahn melalui posisi dan kecepatan partikel kesuatu fungsi. Sebuah sistem kendali dibuat untuk thermal oxidizer dengan menggunakaan metode PID dan MPC yang diotpimsiasikan dengan PSO agar mampu mencapai fungsi primer dan sekunder. Berdasarkan hasil pembuataan sistem kendali. Berdasarkan parameter performansi yang dipilih berupa Overshoot, Settling time, Error Steady state, Standar deviation dan IAE, bahwa untuk di unit thermal oxidizer sistem kndali MPC menunjukkan performansi yang lebih bagus dngan overshot 0.08%, Settling time 95%, error steady state 1.69, standar deviasi 0.18 dan IAE 35. Pada sistem kendali di WHRU, sistem kendali MPC menunjukkan performansi yang lebih bagus dibandingkan sistem kendali PID dengan parameter settling time 90 sekon, error steady state 2.82%, Standar deviation 0.22 dan IAE 39.632
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Thermal Oxidizer is a device used in many industries as a device that functions to burn exhaust gases. Model predictive control is an advanced process control method used to control a process and is able to predict disturbances before they occur to minimize the effects of disturbance errors. Particle Swarm Optimization is a method for solving problems through the position and speed of particles to a function. A control system is made for a thermal oxidizer using the PID and MPC methods optimized with PSO to be able to achieve primary and secondary functions. Based on the results of making a control system. Based on the selected performance parameters in the form of Overshoot, Settling time, Error Steady state, Standard deviation and IAE, that in the thermal oxidizer unit the MPC control system shows better performance with an overshot of 0.08%, Settling time 95%, error steady state 1.69, standard deviation 0.18 and IAE 35. In the control system in the WHRU, the MPC control system shows better performance compared to the PID control system with parameters of settling time 90 seconds, error steady state 2.82%, Standard deviation 0.22 and IAE 39.632.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Kontrol Proportional-Integral-Derivative, Model Predictive Control (MPC), Particle Swarm Optimization (PSO), Thermal Oxidizer, Waste Heat Regenearator Unit, Model Predictive Control (MPC), Particle Swarm Optimization (PSO), , Proportional-Integral-Derivative Control, Thermal Oxidizer, Waste Heat Regenearator Unit
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ217.6 Predictive Control T Technology > TJ Mechanical engineering and machinery > TJ223 PID controllers
Divisions:	Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	M. Akbar Miftahuzaman
Date Deposited:	07 Aug 2025 00:56
Last Modified:	07 Aug 2025 00:57
URI:	http://repository.its.ac.id/id/eprint/127573

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