Perancangan Sistem Pengendalian Level Dengan Jaringan Syaraf Tiruan Pada Steam Drum Boiler B-1102 Di PT. Petrokimia Gresik

Aris, Sofidul (2010) Perancangan Sistem Pengendalian Level Dengan Jaringan Syaraf Tiruan Pada Steam Drum Boiler B-1102 Di PT. Petrokimia Gresik. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pengendalian level yang selama ini digunakan pada steam drum adalah dengan pengendali PID. Pengendali konvensional ini dirasa kurang mampu memberikan perfomansi yang baik karena sifatnya yang linier padahal proses-proses pada industri biasanya nonlinear, multivariabel dan komplek. Diperlukan suatu pengendalian yang mampu menangani sifat kenonlinearan steam drum tersebut. Dengan kemampuan belajar terhadap berbagai perubahan kondisi yang tak terduga maka jaringan syaraf tiruan digunakan untuk merancang sistem pengendalian level dengan struktur model NNARX (Neural Network AutoRegresive with eXternal input), algoritma pembelajaran Levenberg Marquardt dan Direct Inverse Control berbasis jaringan syaraf tiruan. Penelitian dilakukan dengan memodelkan plant serta pengendali sehingga dihasilkan RMSE = 0.0019 untuk model plant dan RMSE 0.0014 untuk model pengendali. Didapat performansi pengendalian DIC dan PID berbasis JST, level steam drum yakni; DIC menghasilkan Mp = 2.24%, ts = 30 sekon, dan pengendali PID menghasilkan Mp = 2.26%, ts = 31 sekon, pada set point 75 % (4.533meter) level steam drum. ========== The PID controller has been used in the steam drum level control for many years . This conventional controller is less able to provide good performance because of it is linearity whereas industrial processes are usually nonlinear, multivariable and complex. A control that can handle steam drum unlinearity properties is needed. With the ability to learn to various unforeseen circumstances changes, the neural network is used to design the control system with structure level NNARX model (Neural Network AutoRegresive with external input), Levenberg Marquardt learning algorithm and the Direct Inverse Control based on artificial neural networks. Research done by modeling the plant and controller so that the resulting RMSE = 0.0019 for the model plant and RMSE 0.0014 for controller model. The performance gained control by DIC and PID controllers using neural network, of the level steam drum; DIC yield Mp = 2.24%, ts = 30 seconds, and PID controllers yield Mp = 2.26%, ts = 31 seconds at set point 75% (4.533 meters) level steam drum.

Item Type: Thesis (Undergraduate)
Additional Information: RSF 006.3 Ari p 3100010040826
Uncontrolled Keywords: Steam Drum, Pengendalian level, Jaringan Syaraf Tiruan, Direct Inverse Control, Level control, Neural Network
Subjects: Q Science > QA Mathematics > QA76.87 Neural networks (Computer Science)
Divisions: Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User: - Davi Wah
Date Deposited: 27 Nov 2019 08:11
Last Modified: 27 Nov 2019 08:11
URI: http://repository.its.ac.id/id/eprint/72089

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