Supervised Fuzzy control strategy for Mean Arterial Pressure regulation using cascade scheme controller: A Continuum Approach of hypertension with diabetics

Abstract

Abstract This paper presents a cascade methodology towards the control of blood pressure for perioperative patients with a diabetic continuum. Recent clinical research confirms that blood pressure and diabetes have possible overlap on their substantial and may occur together as per their disease etiology. Postoperative stress and hasty diabetic variation will make pressure distinctions, leading to cardiovascular catastrophe, hypo, hyperinsulinemia, and osmotic diuresis. To avoid anomalies, blood pressure and diabetes need to monitor simultaneously. Based on the distinctions, blood pressure has to control the optimal drug delivery system. This proposal adopts a cascade control modelling and control scheme strategy adopted with two different parameters in control. The control loop is overseen and eliminates the disturbances generated by diabetic variations, and the primary control loop supervises and controls drug delivery. In particular, the difference of the control is to produce automated correction of the drug SNP (sodium nitroprusside) infusion to maintain the Mean Arterial pressure (MAP) as prescribed. The proposed advisory process is based on FLC (Fuzzy logic) controller to optimize appropriate and optimal drug delivery. The cascade control studies' simulations demonstrated, that the proposed approach provides proper estimating drug delivery and regulates hypertension as per the recommended levels.