TY  - JOUR
T1  - Soft Computing Control Methodologies for Temperature Process
System and its Performance Evaluation
AU - Sudhanan, R. Madhu AU - Poongodi, P. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 21
SP  - 4213
EP  - 4222
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.4213.4222
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.4213.4222
KW  - CSTR
KW  -PID
KW  -NARMA
KW  -NNP
KW  -MP
KW  -MP-PID
KW  -ISE
KW  -IAE
KW  -ITSE
KW  -ITAE
AB  - The temperature inside a Continuous Stirred Tank Reactor (CSTR) is difficult to control when chemical reaction takes place. The coolant circulates on the outer jacket of the reactor and extracts the heat energy liberated during the exothermic reaction. The temperature inside the reactor is controlled by manipulating the flow rate of coolant. This study compares the performances of control methodologies like Proportional Integral Derivative (PID) Control, Non Linear Auto Regressive Moving Average (NARMA) model control, Neural Network Predictive (NNP) control and Model Predictive (MP) control. A novel method of control is obtained by incorporating PID method in MP control i.e., the proposed method of control is MP-PID. A significant amount of reduction in time for the control action is obtained for the proposed methods. The time domain specifications on the response for the CSTR Model with the above controllers are tabulated and analyzed.
ER  -