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Fractional Order PID Controller for Diabetes Patients | ||
| Journal of Computational Applied Mechanics | ||
| مقاله 8، دوره 46، شماره 1، فروردین 2015، صفحه 69-76 اصل مقاله (487.72 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jcamech.2015.53395 | ||
| نویسندگان | ||
| Masoud Goharimanesh1؛ Ali Lashkaripour* 2؛ Ali Abouei Mehrizi3 | ||
| 1Department of Mechanical Engineering, Ferdowsi University of Mashhad | ||
| 2Department of Life Science Engineering, University of Tehran | ||
| 3Department of life science engineering, University of Tehran | ||
| چکیده | ||
| 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. | ||
| کلیدواژهها | ||
| diabetes؛ fractional order PID؛ Genetic Algorithm | ||
| مراجع | ||
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