Formaldehyde production process control improvement using multivariable model predictive control

Abdul Wahid, Muhammad Zulfikar Fauzi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Formaldehyde is chemical substance that is used in adhesive industry. PT X is formaldehyde producer in East Java which is using proportional-integral control system. This conventional controller has several weaknesses. Multivariable model predictive control (MMPC) is used to increase the performance of control system at PT X. Empirical model is made with process reaction curve followed by first order plus dead time calculation. Four manipulated variables and four controlled variables will construct 16 empirical models. Calculation of MMPC parameter, which include sample time (T), prediction horizon (P), and control horizon (M), is done with Shridhar and Cooper method (1998) and optimized by fine-tuning method. Performance of MMPC is tested by set point (SP) tracking and disturbance rejection. Four controllers tested are evaporator pressure control (PIC-101), liquid percent level control (LIC-101), steam flow control (FIC-102), and air temperature control (TIC-101). The optimized parameter of MMPC which include T, P, and M are 3, 62, and 2 respectively. Multivariable model predictive control can increase control performance in SP tracking with average number of 33.24% for IAE and 42.93% of ISE. Meanwhile, in disturbance rejection, there is an increase in average of 33.485 for IAE and 58.08% for ISE.

Original languageEnglish
Title of host publication5th International Tropical Renewable Energy Conference, i-TREC 2020
EditorsRidho Irwansyah, Muhammad Arif Budiyanto
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735441286
DOIs
Publication statusPublished - 23 Sep 2021
Event5th International Tropical Renewable Energy Conference, i-TREC 2020 - Depok, Indonesia
Duration: 29 Oct 202030 Oct 2020

Publication series

NameAIP Conference Proceedings
Volume2376
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference5th International Tropical Renewable Energy Conference, i-TREC 2020
Country/TerritoryIndonesia
CityDepok
Period29/10/2030/10/20

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