TY - JOUR
T1 - Control of Gas Dehydration Unit Using Multivariable Model Predictive Control (MMPC) to Obtain More Optimal Control Performance
AU - Wahid, Abdul
AU - Mauricio, Rickson
AU - Maro, Naufal Syafiq
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences, 2018.
PY - 2018/11/26
Y1 - 2018/11/26
N2 - A multivariable model predictive control (MMPC) is proposed to improve a control performance in Gas dehydration process. The FOPDT models are used to build an MMPC derived from the selected controlled variables (CV) and manipulated variables (MV). A set point (SP) tracking is used to test the control performance, with proportional-integral controller (PI) as a comparison. As an indicator of the control performance is the integral of square error (ISE). The result is a TITO (two-inputs two-outputs) MMPC, with sweet gas flow rate and heat duty of heater as MVs, and feed pressure and heater temperature as CVs, respectively. In the SP tracking test, MMPC showed better control performance than the PI controller with 11.29% performance improvement (pressure control) and 16.39% (temperature control).
AB - A multivariable model predictive control (MMPC) is proposed to improve a control performance in Gas dehydration process. The FOPDT models are used to build an MMPC derived from the selected controlled variables (CV) and manipulated variables (MV). A set point (SP) tracking is used to test the control performance, with proportional-integral controller (PI) as a comparison. As an indicator of the control performance is the integral of square error (ISE). The result is a TITO (two-inputs two-outputs) MMPC, with sweet gas flow rate and heat duty of heater as MVs, and feed pressure and heater temperature as CVs, respectively. In the SP tracking test, MMPC showed better control performance than the PI controller with 11.29% performance improvement (pressure control) and 16.39% (temperature control).
UR - http://www.scopus.com/inward/record.url?scp=85058691753&partnerID=8YFLogxK
U2 - 10.1051/e3sconf/20186703013
DO - 10.1051/e3sconf/20186703013
M3 - Conference article
AN - SCOPUS:85058691753
SN - 2555-0403
VL - 67
JO - E3S Web of Conferences
JF - E3S Web of Conferences
M1 - 03013
T2 - 3rd International Tropical Renewable Energy Conference "Sustainable Development of Tropical Renewable Energy", i-TREC 2018
Y2 - 6 September 2018 through 8 September 2018
ER -