#TITLE_ALTERNATIVE#

Water Dynamics and vapour in boiler has the character of non linear and show shrink and swell phenomenon. The fluctuation in the steam drum boiler PT. XYZ has many effects. Because of that, a control system is needed in order to make the controlled system with a good response, to have a good disturb...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: SULAIMAN NUR UBAY (NIM 13304067), MUHAMMAD
التنسيق: Final Project
اللغة:Indonesia
الوصول للمادة أونلاين:https://digilib.itb.ac.id/gdl/view/10997
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المؤسسة: Institut Teknologi Bandung
اللغة: Indonesia
id id-itb.:10997
spelling id-itb.:109972017-09-27T11:05:12Z#TITLE_ALTERNATIVE# SULAIMAN NUR UBAY (NIM 13304067), MUHAMMAD Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/10997 Water Dynamics and vapour in boiler has the character of non linear and show shrink and swell phenomenon. The fluctuation in the steam drum boiler PT. XYZ has many effects. Because of that, a control system is needed in order to make the controlled system with a good response, to have a good disturbance rejection, and to track reference trajectory or the set point.<p> <br /> <br /> <br /> <br /> <br /> Model Predictive Control (MPC) is a technique to bring system to the controlled system to the optimal condition. In this final project, AIDA software is used to perform the modeling based on identification method and SMOC software is used to design predictive controller.<p> <br /> <br /> <br /> <br /> <br /> Model validation use F-statistic assign steam flow value 1.191 and 0.633 for level indicator controller, show that the model qualified based on F-Statistic with residue less than 0.5. This simulaton show that the respon transien have 3 minute delay, 26 minute settling time and 2% overshoot. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Water Dynamics and vapour in boiler has the character of non linear and show shrink and swell phenomenon. The fluctuation in the steam drum boiler PT. XYZ has many effects. Because of that, a control system is needed in order to make the controlled system with a good response, to have a good disturbance rejection, and to track reference trajectory or the set point.<p> <br /> <br /> <br /> <br /> <br /> Model Predictive Control (MPC) is a technique to bring system to the controlled system to the optimal condition. In this final project, AIDA software is used to perform the modeling based on identification method and SMOC software is used to design predictive controller.<p> <br /> <br /> <br /> <br /> <br /> Model validation use F-statistic assign steam flow value 1.191 and 0.633 for level indicator controller, show that the model qualified based on F-Statistic with residue less than 0.5. This simulaton show that the respon transien have 3 minute delay, 26 minute settling time and 2% overshoot.
format Final Project
author SULAIMAN NUR UBAY (NIM 13304067), MUHAMMAD
spellingShingle SULAIMAN NUR UBAY (NIM 13304067), MUHAMMAD
#TITLE_ALTERNATIVE#
author_facet SULAIMAN NUR UBAY (NIM 13304067), MUHAMMAD
author_sort SULAIMAN NUR UBAY (NIM 13304067), MUHAMMAD
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/10997
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