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Articles

Performance Evaluation of ILC Controller for Anesthesia Process

, &
Pages 2242-2251 | Published online: 16 Feb 2022
 

Abstract

An adequate adjust of propofol is crucial to maintain the depth of hypnosis in anesthesia. It is a tedious task of anesthesiologist during surgery. The less amount of propofol infusion leads to insufficient anesthesia and higher amount stands dangerous for the patient. Here, iterative learning controller (ILC) is designed to control depth of hypnosis in anesthesia with BIS as feedback signal. BIS is calculated from EEG signal. In this, automatic propofol infusion system, the patient model, is developed based on pharmacokinetic and pharmocodynamic (PK/PD) model in MATLAB/SIMULINK. The anesthesia process is approximated to transfer function model of first-order time delay. The conventional Internal Model Control-based PID controller (IMC PID) and Ziegler Nichols PID (ZN PID) controller are used to compare the efficiency of proposed ILC controller. The performance results in terms of quality indices (overshoot, settling time) and error indices (Integral Square Error (ISE) and Integral Absolute Error (IAE)) show that the ILC controller is superior than conventional controllers.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

K. Poomani

K Poomani received master's degree in mechatronics from Anna University, Chennai, India. Currently, she is assistant professor in the Department of Mechatronics, Bannari Amman Institute of Technology, Erode, Tamil Nadu. Her research interests are in the areas of control systems, biomedical instrumentation and mechatronics.

S. Sathiyavathi

S Sathiyavathi received doctorate from Anna University, Chennai, India. Currently, she is asociate professor in the Department of Mechatronics, Kongu Engineering College, Erode, Tamil Nadu. She has 12 years of experience in teaching. Her research interests are in the areas of control systems and process control. Email: [email protected]

M. Gowrishankar

M Gowrishankar received master’s degree in automotive electronics from Anna University, Chennai, India. Currently, he is assistant professor in the Department of Mechatronics, Kongu Engineering College, Erode, Tamil Nadu. His research interests are in the areas of control systems and E-vehicles. Email: [email protected]

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