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Second Year Process Control Project
Control of an industrial furnace
Pair: 07
Name: CHIN GUOZHENG
CHEN CHAO
Abstract are required to carry out highly complex
The project aim is to design an efficient processes that are subjected to risk factors
system strategy to control and maintain outlet such as disturbances. As such, devices which
temperature of crude oil and oxygen can regulate behaviour of the system
composition of flue gas at set point value dynamics are implemented in plants. Control
through simulation tests of an industrial systems aim to keep the overall impacts of
furnace. By firstly identifying a system model disturbance on the system at a minimum by
to describe the system dynamics, an relative maintaining controlled variables at a constant.
gain array (RGA) analysis was carried out to
determine the best way to control system
outputs. From the results it was found that
the most effective way to control
temperature and oxygen composition was to
utilise the gas and air valves respectively. To
improve on the control, feedback with P and
PI controllers were implemented separately
for comparison. The Cohen-Coon and Zeigler
Nichols tuning methods were used as first
Figure 1:Schematic representation of the furnace
approximation. Subsequently,
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