Design of artificial pancreas based on the SMGC and self-tuning PI control in type-I diabetic patient

Abstract

Optimal closed loop control of blood glucose (BG) level has been a major focus for the past so many years to realise an artificial self-regulating insulin device for type-I diabetes mellitus (TIDM) patients. There is urgency for controlled drug delivery system to design with appropriate controller not only to regulate the blood glucose but also for other chronic clinical disorders requiring continuous long-term medication. As a solution to the above problem, a novel optimal self-tuning PI controller is proposed whose gains dynamically vary with respect to the error signal. The controller is verified with a nonlinear model of the diabetic patient under various uncertainties arises in various physiological conditions and wide range of disturbances. A comparative analysis of self-tuning PI controller performance has been done with the sliding mode Gaussian control (SMGC) and other optimal control techniques. Obtained results clearly reveal the better performance of the proposed method to regulate the BG level within the normoglycaemic range (70-120 mg/dl) in terms of accuracy, robustness and handling uncertainties.