Design of an Intelligent Adaptive Drug Delivery System for Arterial Pressure Control

-Arterial pressure control is an important task, mostly in postsurgical patients. This work proposes an adaptive system to patient’s arterial blood pressure control using sodium nitroprusside. The proposed system uses Proportional-Integral (PI), Fuzzy-PI, rule-based and predictive controllers. To introduce an adaptive characteristic to PI controller, it was used an intelligent fuzzy supervisor with a kind of gain scheduling. This idea can be extended to rule-based and fuzzy-PI controllers. A Pseudo Random Binary Signal (PRBS), with level in accord of patient’s drug sensitivity, was used in all controllers to avoid greats decreases in blood pressure in the beginning of control. Also it was used an algorithm to reject wrong measurements in patient’s arterial blood pressure. The results obtained consider an adaptive predictive controller and a PI with Fuzzy scheduling considering two simulated patients. In all simulations, the mean arterial pressured considered as reference was 100 mmHg. The simulation results showed that the proposed system has good performance and stabilize the mean arterial pressure with small settling time and small overshoot. Key-Words: Adaptive control, arterial blood pressure, intelligent control