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Model Predictive Control Design and Implementation on a 3x3 Model of Shell Heavy Oil Fractionator

Omar, Madiah (2010) Model Predictive Control Design and Implementation on a 3x3 Model of Shell Heavy Oil Fractionator. Universiti Teknologi PETRONAS. (Unpublished)

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Abstract

Model Predictive Control (MPC) is the most famous advanced process control method in the industry. MPC refers to a class of computer control algorithms that utilize and explicit process model to predict the future response of the plant. Therefore, we can clearly see that this control strategy has brought a great importance for the industry to control the throughput to meet the requirement. For this purpose, a chemical process model is examined for set point tracking to measure its performance. Different direction of set point is tested for a given model, to measure optimum control horizon for the model and to study whether model is behaved efficiently for MIMO system. This study stated that given model is behaved efficiently for SISO system compared to MIMO system. This may due to modeling error in process gain

Item Type: Final Year Project
Academic Subject : Academic Department - Chemical Engineering - Advance Process Control
Subject: T Technology > TP Chemical technology
Divisions: Engineering > Chemical
Depositing User: Users 2053 not found.
Date Deposited: 30 Oct 2013 16:47
Last Modified: 25 Jan 2017 09:42
URI: http://utpedia.utp.edu.my/id/eprint/10090

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