Model Predictive Control Design and Implementation on a 3x3 Model of Shell Heavy Oil Fractionator
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...
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| Format: | Final Year Project |
| Language: | English |
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Universiti Teknologi PETRONAS
2010
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| Online Access: | http://utpedia.utp.edu.my/10090/1/2010%20Bachelor%20-%20Model%20Predictive%20Control%20Design%20And%20Implementation%20On%20A%203x3%20Model%20Of%20Shell%20Heavy%20.pdf http://utpedia.utp.edu.my/10090/ |
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| Summary: | 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 |
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