Inverted Decoupling 2DoF Internal Model Control for Mimo Processes

Juwari, Juwari; Azizah, Zahrotul; Handogo, Renanto; Hikmadiyar, Riza Aris; Hisyam, A.

doi:10.14716/ijtech.v10i3.2922

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…Kemudian penelitian dilanjutkan dengan mengganti pengendali dengan 2DoF IMC. Hasil yang didapatkan adalah invers decoupling mampu mengurangi interaksi secara signifikan(Juwari Purwo Sutikno et al, 2019). Namun, tidak banyak penelitian yang mengemukakan tentang decoupling untuk sistem MIMO 3×3.…”

Section: Pendahuluanunclassified

Desain Invers Decoupling Pada Sistem Mimo 3×3 Dengan Pengendali Pid

Azizah

2022

CMG

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The processes in the industry are categorized into a multi-input multi-output (MIMO) system, which consists of many inputs and outputs where the variables in the process are interrelated with each other. The interaction causes the controller design to be difficult. Even very strong interactions can worsen the performance of the controller. One way to reduce interaction is to add decoupling to the control system. There are several kinds of decoupling, but inverse decoupling was chosen because it can reduce the interaction significantly. This study aims to add inverse decoupling to the MIMO system with a larger size, namely 3×3. Larger system sizes lead to more complicated decoupling calculations. PID controller and inverse decoupling scheme became the chosen control strategy. Shell Heavy Oil Fractionator (SHOF) by Garcia is used as an illustrative example of a 3×3 MIMO system to demonstrate the performance results against the proposed control scheme. Based on the simulation results, the IAE value with the addition of inverse decoupling is smaller than without decoupling.Keywords: inverted decoupling, MIMO 3×3, PID controller

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Section: Pendahuluanunclassified

Desain Invers Decoupling Pada Sistem Mimo 3×3 Dengan Pengendali Pid

Azizah

2022

CMG

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“…Selama ini, penelitian mensimulasikan suatu proses menggunakan aspen plus dan mengendalikan proses yang telah dibangun di aspen plus menggunakan matlab simulink secara terpisah. Sutikno dkk mensimulasikan kolom distilasi deisobutanizer di aspen plus dynamics kemudian proses tersebut dikendalikan secara terpisah menggunakan pengendali IMC di matlab simulink [2] [3]. Sutikno dkk juga mensimulasikan nonkonvensional kolom/rectifier dengan menggunakan pengendali MPC [4] [5].…”

Section: Pendahuluanunclassified

Integrasi Aspen Plus Dynamics dengan Matlab Simulink (Studi Kasus: Simulasi Proses Distilasi Propana-Isobutana)

Azizah

Dhaniswara

2021

JCPE

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Sebagian besar proses kimia berkaitan erat dengan proses nonlinier sehingga masalah pengendalian menjadi tantangan bagi seorang engineer dan industri kimia itu sendiri. Penelitian ini bertujuan mengintegrasikan antara Aspen Plus Dynamics dan Matlab Simulink sebagai upaya untuk menghilangkan teknik linierisasi sehingga proses yang bersifat nonlinier mampu dikendalikan secara maksimal. Metode yang digunakan adalah simulasi steady state menggunakan Aspen Plus pada proses distilasi dengan studi kasus pemisahan propana dan isobutana. Selanjutnya simulasi dynamic menggunakan Aspen Plus Dynamics. Proses yang telah dibangun di Aspen Plus Dynamics selanjutnya diintegrasikan dengan Matlab Simulink melalui blok AMSimulation. Hasil penelitian ini yaitu simulasi steady-state dan dynamics berhasil dijalankan. Aspen Plus Dynamics dan Matlab Simulink telah terintegrasi dan mampu secara bersamasama dijalankan dalam satu waktu. Terdapat tiga controller yang terpasang yaitu refluk drum level control, top column pressure control, dan reboiler level control. Ketiga controller mampu mengendalikan proses dengan baik dibuktikan dengan proses dapat kembali ke setpoint.

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“…Jin et al, 2016). The outcomes show that inverse decoupling can greatly minimize interaction (Juwari Purwo Sutikno et al, 2019;Üstüner & Taşkin, 2019). Decoupling for 3×3 MIMO systems hasn't received much attention, though.…”

Section: Introductionmentioning

confidence: 99%

Design of 3×3 Multi Input Multi Output (MIMO) Decoupling on Coupled Tank System with PID Controller

Azizah,

Fitrianah

2023

jppipa, pendidikan ipa, fisika, biologi, kimia

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Multivariable processes are the general classification for process features in the chemical industry. The variables in a single process unit interact with one another through more than one input and output. Since parameters interact with one another, changing one parameter's variable requires changing another parameter's variable as well. Further research is needed to determine how to create controllers that can handle interactions in the process. A MIMO control system is exemplified by the coupled tank system. Coupled tanks are present, and they communicate with one another by horizontal pipes. An interacting system can be represented using a coupled tank setup. Decoupling can be added to reduce the interactions that take place between variables. According to the results of the simulation, adding decoupling reduces the IAE value compared to not adding it. When the setpoint for tank level 1 (H1) was changed, the system's IAE value was 17.35 without the addition of decoupling, whereas it was 11.71 with it.

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Inverted Decoupling 2DoF Internal Model Control for Mimo Processes

Cited by 3 publications

References 10 publications

Desain Invers Decoupling Pada Sistem Mimo 3×3 Dengan Pengendali Pid

Desain Invers Decoupling Pada Sistem Mimo 3×3 Dengan Pengendali Pid

Integrasi Aspen Plus Dynamics dengan Matlab Simulink (Studi Kasus: Simulasi Proses Distilasi Propana-Isobutana)

Design of 3×3 Multi Input Multi Output (MIMO) Decoupling on Coupled Tank System with PID Controller

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