Abstract

Multivariable model predictive control (MMPC) was applied in CO2 removal process in a natural gas treatment from an industry located in Subang field, which used chemical absorption. MMPC is a variation of model predictive control (MPC) which can account for more than one control variable at once and is classified in advanced control category. MMPC is expected to give a better performance in handling the process as well as being able to overcome intervariable interaction that is prone to happen in multiple input multiple output (MIMO) system. MMPC was applied in the process to get a better process control performance compared to the one using PI controller and to make any intervariable interaction in the process more manageable. The indicator for each goal was integral square error (ISE). The result showed that identified intervariable interaction was between the pressure of gas feed in and the flow of make-up water to absorber. By using MMPC, the ISE of controller’s performance was improved from the PI-controller that was used in the plant. The improvement for ISE was 32.62% (PIC-1101) and 72.67% (FIC-1102) in the SP tracking, and 52.54% (PIC-1101) and 57.41% (FIC-1102) in the disturbance rejection. MMPC implementation also showed a better response in handling intervariable interaction in the process.

Highlights

  • The amount of natural gas in Indonesia reaches 170 trillion standard cubic feet, which makes natural gas as a potential source of energy for Indonesia and can be allocated in various sections such as household, industry, and transportation [1]

  • A type of advanced controller, multivariable model predictive control (MMPC), was used in this research as the controller used in said process

  • In comparison to the conventional type, proportional-integral-derivative (PI/PID) control, that is commonly used in gas industry [3,4], MMPC is expected to give a better control performance, because it can overcome any intervariable interaction that happen in a multi-input multi-output (MIMO) system [5,6,7]

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Summary

Introduction

The amount of natural gas in Indonesia reaches 170 trillion standard cubic feet, which makes natural gas as a potential source of energy for Indonesia and can be allocated in various sections such as household, industry, and transportation [1]. There are some treatments that need to be done before natural gas can be utilized as energy source. In comparison to the conventional type, proportional-integral-derivative (PI/PID) control, that is commonly used in gas industry [3,4], MMPC is expected to give a better control performance, because it can overcome any intervariable interaction that happen in a multi-input multi-output (MIMO) system [5,6,7]. The chemical process that became the object of this 2re.1se.aPrcrhocweasssaSCimO2urlaemtioonval process done in a natural gas industry, “X” company, located in Subang field, TWhestchJeamvaic, aIlnpdroonceessisa. Natural gas flows to absorber, where it will be contacted with a-MDEA that flows from the upper part of the column.

Process Identification
Process Simulation
Findings
Set Point Change Test
Full Text
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