University of Tehran Press Journal of Computational Applied Mechanics 2423-6713 46 1 2015 01 01 Fractional Order PID Controller for Diabetes Patients 69 76 53395 10.22059/jcamech.2015.53395 EN Masoud Goharimanesh Department of Mechanical Engineering, Ferdowsi University of Mashhad Ali Lashkaripour Department of Life Science Engineering, University of Tehran Ali Abouei Mehrizi Department of life science engineering, University of Tehran Journal Article 2014 10 01 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. https://jcamech.ut.ac.ir/article_53395_5048f8b0693d3487d42ad1faef9bbec2.pdf