Advanced NARMA-L2 Based Control Strategy for an Ethylene Dichloride Cracking Reactor
DOI:
https://doi.org/10.65204/djes.v3i3.772Keywords:
EDC, thermal, cracking, NARMA- L2,, neural control,, nonlinear reactor, dynamic simulation,, VCM production.Abstract
The performance of the EDC Thermal Cracking Reactor study for
VCM is doing quite well. The VCM that has been designed is good.
A nonlinear dynamic model has been developed for studying the
performance in open-loop and closed-loop system response to
nonlinear change in feed temperature and feed flow rate.
MATLAB/Simulink was used to design and simulate a model. Thus,
as the feed temperature rises, the exit gas temperature increases to a
value slightly above the target. Conversely, when the feed
temperature falls, the exit gas temperature slightly dips below the
target. Eventually, the exit gas and feed temperature attain their
steady states with no permanent error. (16 words) Changes in flow
rate also affect temperature, and the system achieves different times.
Additionally, controllers were developed using the NARMA-L2
framework including PI, PID, and neural network controller. The
system was assessed with respect to various controllers.
Improvement shown in the handle of the thermal cracking reactor of
nonlinear behavior. NARMA-L2 takes minimum settling time and
lesser overshoot. It controls interference better.
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