Performance Analysis of Different Controller Schemes of Interval Type-2 Fuzzy Logic in Controlling of Mean Arterial Pressure During Infusion of Sodium Nitroprusside in Patients

This research work is on designing an optimum and robust controller to improve the infusion of drug in patients during post-operative conditions in order to automatically control the mean arterial pressure. The control of mean arterial pressure of critically-ill patients is a prominent research field due to its ability to lessen recovery time, lower medical costs, and better medical staff management by lowering their burden. However, due to uncertainty in patient’s sensitivity toward the drug infused and external disturbance/noise, this is a complicated task. In this work, two efficient controller schemes, interval type-2-fuzzy logic controller-proportional integral derivative and fractional order-interval type-2-fuzzy logic controller-proportional derivative + proportional integral controller are presented. For effective optimization of these control schemes, one of the most effective nature inspired optimization, cuckoo search algorithm is implemented for finding their optimal values of parameters. In the work, simulation results and performance index i.e., settling time, overshoot IAE values shows superior performance of fractional order-interval type-2-fuzzy logic controller-proportional derivative + proportional integral controller over IT2-FLC-PID controller.