Development of 2x2 Model Predictive Control Model For Crude Distillation Unit

This report is documented mainly discuss about the final year project entitled
"Development of 2x2 Model Predictive Model for Crude Distillation Unit".
Advancements in the oil and gas industries requires parallel progress both in
maximizing production rate and profit. One sector in which those objectives are
accessible is in the refinery business. Core business ofthe refinery sector is swarmed
around the crude distillation unit (CDU) which separates raw crude into few
marketable products. Due to its high nonlinearity profile and sensitivity of profit
margin, any advancement in CDU is considered to be essential. Many researches and
engineers use CDU as their case study for projects and paper works to contribute on
the optimization, control and production problems. This piece of literature narrows
it's scope to control issue of the CDU in which system identification and simulation
of CDU system will be developed. Main purpose of this study is to investigate
whether development of 2 by 2 MIMO model using Model Predictive Controller
(MPC) can increase the performance and reproduce actual data ofCDU to the respect
to the variables chosen. Contribution of this research channels to error minimization
produced by MPC in which evaluated by minimal controller moves and fluctuations
of chosen control variables in comparative to its set points. Testing data from virtual
plant will be used as base case to develop relevant robust mathematical model to be
eligible for representing CDU system and performance analysis on the chosen model
were conducted to derive relevant conclusions. Both research work is possible using
MATLAB and HYSYS in which needed materials and toolboxes are available.