شماره ركورد كنفرانس :
3208
عنوان مقاله :
Temperature Control of Distillation Column in Hydro-alkylation of Toluene: A Supervisory Predictive Approach
پديدآورندگان :
Mosaffa, Hesameddin Department of Electrical - Biomedical and Mechatronics Engineering - Qazvin Branch Islamic Azad University , Fakharian, Ahmad Department of Electrical - Biomedical and Mechatronics Engineering - Qazvin Branch Islamic Azad University
كليدواژه :
Model Predictive Control , supervisory Control , Hydro-alkylation of toluene unit
عنوان كنفرانس :
چهارمين كنفرانس بين المللي كنترل، ابزار دقيق و اتوماسيون
چكيده لاتين :
one of the most non-linear basic process units is
distillation unit and has many uses in the main process units. In
Hydro-alkylation unit of toluene, three distillation columns used
in several ways that generally makes the process to be non-linear.
On the other hand, Hydro-alkylation of toluene (HAD) unit has
another six basic non-linear units. The importance of this unit is
in the production of chemical Benzene. In this paper, first the
mathematical model of the process has been extracted using
system identification method. Using a model-based predictive
control algorithm in the regulatory layer leads to more favorable
responses in controlling of the unit. The comparison between two
responses comes from the two-control approach. The first one is
PID controller and the second one is a model-based predictive
control in the regulatory layer, which is responsible for changing
the reference signal of PID controller. Simulation of this process
is done by Aspen HYSYS process simulator software (v7.2). The
model-based predictive controller is located for monitoring the
classic PID controller, which improves the optimal point tracking
as well as optimization in the thermal load rate of boilers in this
process. By prediction on the obtained model the effect of
disturbances on the process decreased dramatically which is
another important achievement of the proposed approach.