Abstract:
In the process of chemical industries production, an exothermic stirred
tank reactor permits the reaction to release the heat due to mixing of
substances. The release of heat due to the exothermic process in the stirred
tank makes the system nonlinear and uncertain unless it is not regulated
properly. In order to regulate the heat release, the self-regulated cascade
control model of reactor temperature plant is developed with reference to
material and energy balance model of exothermic stirred tank reactor.In
this paper the recursive least square algorithm is used for self-tuning
regulator cascade control online temperature plant and its controller
parameters estimation and also the temperature plant output has been
simulated in the presence and absence of a primary self-tuning controller.
The use of the secondary loop PI controller will respond rapidly to the
flow rate of cooling jacket plant that in turn cascade with the disturbance
variables like inlet feed concentration and cooling water temperature. The
reactor temperature is monitored to the desired steady state level and
becomes stable for further steady state value of parameters. The
parameters of the temperature plant will also be stable with online
parameter estimating loop of the control system.The designing of master
controller and desired plant model using minimum degree pole placement
algorithm is highlighted. With the developed SIMULINK design of self tuning controller, the better comparative results have been achieved over
Internal Model Control (IMC), Model Predictive Control (MPC) and
conventional based temperature controller plant
