Inverted Decoupling 2DoF Internal Model Control for Mimo Processes

In general, the multiple-input-multiple-output (MIMO) system is the main method of process control in industry. However, the interaction between variables in the process is a challenge when designing controllers for the system. Strong interaction worsens system performance. Inverted decoupling...

Full description

Bibliographic Details
Main Authors: Juwari Purwo Sutikno, Zahrotul Azizah, Renanto Handogo, Riza Aris Hikmadiyar, Anwaruddin Hisyam
Format: Article
Language:English
Published: Universitas Indonesia 2019-05-01
Series:International Journal of Technology
Subjects:
Online Access:http://ijtech.eng.ui.ac.id/article/view/2922
_version_ 1797968906433855488
author Juwari Purwo Sutikno
Zahrotul Azizah
Renanto Handogo
Riza Aris Hikmadiyar
Anwaruddin Hisyam
author_facet Juwari Purwo Sutikno
Zahrotul Azizah
Renanto Handogo
Riza Aris Hikmadiyar
Anwaruddin Hisyam
author_sort Juwari Purwo Sutikno
collection DOAJ
description In general, the multiple-input-multiple-output (MIMO) system is the main method of process control in industry. However, the interaction between variables in the process is a challenge when designing controllers for the system. Strong interaction worsens system performance. Inverted decoupling plays an important role in reducing interaction in the process. Internal model control (IMC) is the controller used in this research. A one degree of freedom (1DoF) IMC controller is only able to provide a good response to set-point tracking, and has a slow response to disturbance rejection. Therefore, a controller that has a good response to set-point tracking and disturbance rejection is a two degrees of freedom (2DoF) IMC. The tuning method uses maximum peak gain margin (Mp-GM) stability criteria based on the uncertainty model. In this study, a reduction in interaction was realized by the addition of inverted decoupling to the 2DoF IMC control scheme. The Wardle & Wood and Wood & Berry column distillation models are given as illustrative examples to demonstrate the performance of the inverted decoupling 2DoF IMC control scheme. A comparison is made of the IAE values of 1DoF IMC, 2DoF IMC, decoupling 2DoF IMC, and inverted decoupling 2DoF IMC, with inverted decoupling 2DoF IMC showing the lowest IAE value.
first_indexed 2024-04-11T02:52:54Z
format Article
id doaj.art-48a54a61a5d548f0a83d226c93d6300b
institution Directory Open Access Journal
issn 2086-9614
2087-2100
language English
last_indexed 2024-04-11T02:52:54Z
publishDate 2019-05-01
publisher Universitas Indonesia
record_format Article
series International Journal of Technology
spelling doaj.art-48a54a61a5d548f0a83d226c93d6300b2023-01-02T15:50:22ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002019-05-0110350251110.14716/ijtech.v10i3.29222922Inverted Decoupling 2DoF Internal Model Control for Mimo ProcessesJuwari Purwo Sutikno0Zahrotul Azizah1Renanto Handogo2Riza Aris Hikmadiyar3Anwaruddin Hisyam4Chemical Engineering Department, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111, IndonesiaChemical Engineering Department, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111, IndonesiaChemical Engineering Department, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111, IndonesiaChemical Engineering Department, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111, Indonesia2Faculty of Chemical and Natural Recourses Engineering, Universiti Malaysia Pahang, 26300 Gambang, Kuantan, MalaysiaIn general, the multiple-input-multiple-output (MIMO) system is the main method of process control in industry. However, the interaction between variables in the process is a challenge when designing controllers for the system. Strong interaction worsens system performance. Inverted decoupling plays an important role in reducing interaction in the process. Internal model control (IMC) is the controller used in this research. A one degree of freedom (1DoF) IMC controller is only able to provide a good response to set-point tracking, and has a slow response to disturbance rejection. Therefore, a controller that has a good response to set-point tracking and disturbance rejection is a two degrees of freedom (2DoF) IMC. The tuning method uses maximum peak gain margin (Mp-GM) stability criteria based on the uncertainty model. In this study, a reduction in interaction was realized by the addition of inverted decoupling to the 2DoF IMC control scheme. The Wardle & Wood and Wood & Berry column distillation models are given as illustrative examples to demonstrate the performance of the inverted decoupling 2DoF IMC control scheme. A comparison is made of the IAE values of 1DoF IMC, 2DoF IMC, decoupling 2DoF IMC, and inverted decoupling 2DoF IMC, with inverted decoupling 2DoF IMC showing the lowest IAE value.http://ijtech.eng.ui.ac.id/article/view/2922InteractionInverted decouplingMIMO systemMp-GM tuning2DoF IMC
spellingShingle Juwari Purwo Sutikno
Zahrotul Azizah
Renanto Handogo
Riza Aris Hikmadiyar
Anwaruddin Hisyam
Inverted Decoupling 2DoF Internal Model Control for Mimo Processes
International Journal of Technology
Interaction
Inverted decoupling
MIMO system
Mp-GM tuning
2DoF IMC
title Inverted Decoupling 2DoF Internal Model Control for Mimo Processes
title_full Inverted Decoupling 2DoF Internal Model Control for Mimo Processes
title_fullStr Inverted Decoupling 2DoF Internal Model Control for Mimo Processes
title_full_unstemmed Inverted Decoupling 2DoF Internal Model Control for Mimo Processes
title_short Inverted Decoupling 2DoF Internal Model Control for Mimo Processes
title_sort inverted decoupling 2dof internal model control for mimo processes
topic Interaction
Inverted decoupling
MIMO system
Mp-GM tuning
2DoF IMC
url http://ijtech.eng.ui.ac.id/article/view/2922
work_keys_str_mv AT juwaripurwosutikno inverteddecoupling2dofinternalmodelcontrolformimoprocesses
AT zahrotulazizah inverteddecoupling2dofinternalmodelcontrolformimoprocesses
AT renantohandogo inverteddecoupling2dofinternalmodelcontrolformimoprocesses
AT rizaarishikmadiyar inverteddecoupling2dofinternalmodelcontrolformimoprocesses
AT anwaruddinhisyam inverteddecoupling2dofinternalmodelcontrolformimoprocesses