TY - JOUR ID - 53395 TI - Fractional Order PID Controller for Diabetes Patients JO - Journal of Computational Applied Mechanics JA - JCAMECH LA - en SN - 2423-6713 AU - Goharimanesh, Masoud AU - Lashkaripour, Ali AU - Abouei Mehrizi, Ali AD - Department of Mechanical Engineering, Ferdowsi University of Mashhad AD - Department of Life Science Engineering, University of Tehran AD - Department of life science engineering, University of Tehran Y1 - 2015 PY - 2015 VL - 46 IS - 1 SP - 69 EP - 76 KW - diabetes KW - fractional order PID KW - Genetic Algorithm DO - 10.22059/jcamech.2015.53395 N2 - This paper proposes an optimized control policy over type one diabetes. Type one diabetes is taken into consideration as a nonlinear model (Augmented Minimal Model), which is implemented in MATLAB-SIMULINK. This Model is developed in consideration of the patient's conditions. There are some uncertainties in the regarded model due to factors such as blood glucose concentration, daily meals or sudden stresses. Moreover, there are distinct approaches toward the elimination of these uncertainties. In here, a meal is fed to the model as an input in order to omit these uncertainties. Also, different control methods could be chosen to monitor the blood glucose level. In this paper, a Fractional Order PID is utilized as the control method. Thereafter, the control method and parameters are tuned by conducting genetic algorithm, as a powerful evolutionary algorithm. Finally, the output of the optimized Fractional order PID and traditional PID control method, which had the same parameters as the Fractional PID except the fractions, are compared. At the end, it is concluded by utilizing Fractional Order PID, not only the controller performance improved considerably, but also, unlike the traditional PID, the blood glucose concentration is maintained in the desired range. UR - https://jcamech.ut.ac.ir/article_53395.html L1 - https://jcamech.ut.ac.ir/article_53395_5048f8b0693d3487d42ad1faef9bbec2.pdf ER -