Design of a fractional order two layer fuzzy logic controller for drug delivery to regulate blood pressure

Abstract

The main objective of this research work is to propose an effective, robust, optimal and oscillation free controller for automatic drug infusion in mean arterial blood pressure (MAP) control for anaesthesia administration, accidental case, cardiac surgery, critically-ill and post-surgery recovery wherein this system also faces uncertainties like external disturbances or noises and parameter uncertainties that adversely affect the system performance. As a consequence, the controllers designed for the MAP become indispensable to compensate such uncertainties and it is quite a complicated task for control engineers. Therefore, a controlled drug administration is required to regulate the MAP of a person during surgery/observation. In this research work, a new fractional order two layer fuzzy logic controller (FO-TLFLC) is designed to regulate MAP of a patient by administering the drug sodium nitroprusside (SNP) in a controlled manner for tracking desired blood pressure of patient in various conditions. Further, a well-established optimization technique named as grey wolf optimization (GWO) is employed to obtain optimal values of control parameters while minimizing integral absolute error (IAE). In order to present the effectiveness and robustness of proposed FO-TLFLC controller, the performance of proposed controller is compared with integer order two layer fuzzy logic controller (IO-TLFLC), single layer fuzzy logic controller (SLFLC), and proportional integral derivative (PID) controllers for maintaining the MAP to 100 mmHg in reasonable limit through SNP drug infusion. From the experimental results, it is concluded that FO-TLFLC controller can not only maintain the desired MAP but also improve the overshoot, settling-time, and error along with robustness.