Performance of Optimal IMC and PID Controllers for Blood Pressure Control

Abstract

The abnormal blood pressure is one of the most common complications which have been observed in postoperative patients. The infusion of the drugs which used to maintain the blood pressure at the desired level and its effect on the biological system presents a real problem in postoperative patients. In order to overcome this problem, the implementation of automatic control system is desirable to improve the patient care, reducing the workload of healthcare staff and costs. Researchers have conducted many studies on modelling and/or control of abnormal blood pressure in patients. This paper presents a comparison of performances between Internal Model Control (IMC) and Proportional-Integral-Derivative (PID) controllers which are based on blood pressure control. The parameters of these controllers have been optimised by using Genetic Algorithm Optimization Technique (GAOT). The resulting controllers are tested on different sensitivity types of patients’ response to Sodium Nitroprusside (SNP) models, for the pressure drop to desired level.KeywordsInternal Model Control (IMC)Proportional-Integral-Derivative (PID) controllerGenetic Algorithm (GA)Sodium Nitroprusside (SNP)Optimization and Blood Pressure Control