INDUSTRIAL MODELLING AND SIMULATION
The process systems are modeled to know the dynamic behavior of the system. The models are based on the fundamental theories or laws of the conservation of mass, energy, and momentum. The objective of this project is to develop model that need to address the process that is difficult (complex) to...
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| Main Author: | |
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Universiti Teknologi PETRONAS
2007
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| Online Access: | http://utpedia.utp.edu.my/9531/1/2007%20-%20Industrial%20Process%20Modelling%20and%20Simulation.pdf http://utpedia.utp.edu.my/9531/ |
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| Summary: | The process systems are modeled to know the dynamic behavior of the system. The
models are based on the fundamental theories or laws of the conservation of mass,
energy, and momentum. The objective of this project is to develop model that need to
address the process that is difficult (complex) to model. In Industrial Process control,
the process variables such as flow, level, pressure and temperature are widely
controlled process variables. The modeling technique that is used in this project is
empirical modeling. The experiment was conducted on the existing Gas Processing
Pilot Plant located in the Process Control & Instrumentation Laboratory at University
Technology PETRONAS. The empirical model is developed for pressure and it is
single input single output (SISO) system using first order with dead-time model. The
process reaction curve was obtained from the empirical model and the parameters of
the system were obtained from process reaction curve. The parameters obtained from
the empirical model are used to form the transfer function which is used for pressure
controller analysis.
After finding the transfer function of the model, the task was to reconstruct the model
in MA TLAB/SIMULINK. Different tuning methods are used to analyze the
controller performance. The tuning methods include both the open loop and closed
loop and then the results with both tuning techniques are compared to yield the best
result. The tuning parameters were then fed into the closed loop MA TLAB and
SIMULINK for the real time analysis. |
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