Design of Optimized PID Controller for Blood Glucose Level Using CSA

The present paper aims to design an optimized Proportional Integral Derivative (PID) controller for diabetic patients. External insulin injection is required in patients suffering from diabetes to aid quickly. Insulin injection for diabetic patients is a topic of major research to improve their life with the help of a controller. As diabetic patients are increasing at an alarming rate, the classical controllers fail to live up to the challenges and expectations. To accurately inject external insulin into the patients, PID controllers are used. The controller helps the patient in many ways as it works on the difference between the desired output and the actual output. In the present work, the Crow Search Algorithm (CSA) is implemented to optimize the error of PID controllers and the results have been compared with Cohen-Coon Method, Astrom-Hagglund (AMIGO Method) and Chien-Hrones-Reswik method. The results indicate the superiority of the proposed techniques.