Design of FOPID Controller for Regulating Anesthesia

Abstract

Almost all surgeries require anesthetist which increases the price of surgery. So, there is a requirement to automate the process of anesthesia. The proper dose of anesthesia is very critical. In this paper, we have proposed the application of fractional-order PID (FOPID) controllers for the automatic control of anesthesia during the surgical procedure. The FOPID controller provides more adjustable time and frequency responses of the control system. It has more degree of freedom as compared to a conventional controller. It gives the designer more flexibility to design the controller. The simulations were done to estimate the performance of the FOPID controllers to control anesthesia delivery rates for maintaining required physiological set points, i.e., muscle relaxation and mean atrial pressure (MAP). The FOPID controllers were tuned using grey wolf optimization (GWO) algorithm to obtain the observations. The results show that the FOPID controller with a proper tuning gives better results than other designed controllers producing minimum performance parameter values. The robustness analysis is also carried out to check the performance of the controller for under parameter uncertainty and Gaussian noise.