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<br /> <p align="justify"> In industrial process, it often meets a condition of fluid mixing with different temperature which interfering in more than one tank, like miniplant in Instrumentation and Control Management System Laboratory, Engineering Physics ITB, which has a min...

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Main Author: MEIRNADIAS (NIM : 13311003) - SUGENG SANTOSO (NIM : 13311008), TYFFANI
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/31393
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:31393
spelling id-itb.:313932018-07-13T14:32:11Z#TITLE_ALTERNATIVE# MEIRNADIAS (NIM : 13311003) - SUGENG SANTOSO (NIM : 13311008), TYFFANI Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/31393 <br /> <p align="justify"> In industrial process, it often meets a condition of fluid mixing with different temperature which interfering in more than one tank, like miniplant in Instrumentation and Control Management System Laboratory, Engineering Physics ITB, which has a miniplant flow series connected to industrial process control device, Distributed Control System (DCS). This research creates a condition of fluids mixing with different temperature in order to make it the same with the desired condition based on manipulated variable, in this case, the manipulated variable is the main valve opening an outlet of hot water tank (CV-01). In order to improve the response of the process performance, a control by using PID algorithm is conducted. <br /> <br /> However, PID algorithm’s response has a dissatisfying results such as its slow response, and long delay time. Therefore, an alternate design of compensator with Smith-Predictor algorithm is conducted. Based on controller without compensator and controller using compensator implementations, the IAE plant without compensator value is gotten in sequences, 32,03; 30,90; 22,18 and the IAE plant with compensator is 18,80. The best response result is shown by Smith-Predictor controller, with the lowest IAE value, fastest response without overshoot with 250 seconds settling time. On the set point tracking test, Smith-Predictor has a better performance than Lambda Tuning, it can approach a better set point in every input change. Moreover, in disturbance rejection on Smith-Predictor, the fastest relief time after disturbance as fast as 210 seconds is gotten. Meanwhile, in ±50% Delay Time Error Model Test, it decreases settling time become 32% lower than the optimum settling time, and it shows a higher overshoot on the 0,5 L delay time error test compared with the 1,5 L delay time error test. <br /> <p align="justify"> 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 <br /> <p align="justify"> In industrial process, it often meets a condition of fluid mixing with different temperature which interfering in more than one tank, like miniplant in Instrumentation and Control Management System Laboratory, Engineering Physics ITB, which has a miniplant flow series connected to industrial process control device, Distributed Control System (DCS). This research creates a condition of fluids mixing with different temperature in order to make it the same with the desired condition based on manipulated variable, in this case, the manipulated variable is the main valve opening an outlet of hot water tank (CV-01). In order to improve the response of the process performance, a control by using PID algorithm is conducted. <br /> <br /> However, PID algorithm’s response has a dissatisfying results such as its slow response, and long delay time. Therefore, an alternate design of compensator with Smith-Predictor algorithm is conducted. Based on controller without compensator and controller using compensator implementations, the IAE plant without compensator value is gotten in sequences, 32,03; 30,90; 22,18 and the IAE plant with compensator is 18,80. The best response result is shown by Smith-Predictor controller, with the lowest IAE value, fastest response without overshoot with 250 seconds settling time. On the set point tracking test, Smith-Predictor has a better performance than Lambda Tuning, it can approach a better set point in every input change. Moreover, in disturbance rejection on Smith-Predictor, the fastest relief time after disturbance as fast as 210 seconds is gotten. Meanwhile, in ±50% Delay Time Error Model Test, it decreases settling time become 32% lower than the optimum settling time, and it shows a higher overshoot on the 0,5 L delay time error test compared with the 1,5 L delay time error test. <br /> <p align="justify">
format Final Project
author MEIRNADIAS (NIM : 13311003) - SUGENG SANTOSO (NIM : 13311008), TYFFANI
spellingShingle MEIRNADIAS (NIM : 13311003) - SUGENG SANTOSO (NIM : 13311008), TYFFANI
#TITLE_ALTERNATIVE#
author_facet MEIRNADIAS (NIM : 13311003) - SUGENG SANTOSO (NIM : 13311008), TYFFANI
author_sort MEIRNADIAS (NIM : 13311003) - SUGENG SANTOSO (NIM : 13311008), TYFFANI
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/31393
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