Design and Realization of a Fuzzy Controller for Diabetes Type 1
| Authors | Hajiba Legrara1, C.R. Srinivasan2 , R. Srividya3 |
| Affiliations |
1National School of Electricity and Mechanics, ENSEM University, Morocco 2Department of Instrumentation and Control Engineering, Manipal Academy of Higher Education, Manipal Institute of Technology, Manipal, India 3Department of Electrical and Electronics Engineering, Manipal Academy of Higher Education, Manipal Institute of Technology, Manipal, India |
| Е-mail | cr.srinivasan@manipal.edu |
| Issue | Volume 13, Year 2021, Number 3 |
| Dates | Received 21 March 2021; revised manuscript received 15 June 2021; published online 25 June 2021 |
| Citation | Hajiba Legrara, C.R. Srinivasan, R. Srividya, J. Nano- Electron. Phys. 13 No 3, 03021 (2021) |
| DOI | https://doi.org/10.21272/jnep.13(3).03021 |
| PACS Number(s) | 43.58.Fm, 47.63.Cb, 07.05.Mh |
| Keywords | Fuzzy control, Diabetes, PID controller, Hovorka model. |
| Annotation |
Nowadays, diabetes is one of the common diseases. It affects people of different ages, and it may lead to death, if it is not treated properly. There are many types of diabetes, the most common are type 1, type 2, and gestational diabetes. In this paper, we are going to focus on diabetes type1. It is when the pancreas does not produce enough insulin, and, as a consequence, blood sugar level increases. To control blood sugar level, we are going to use a PID controller and a fuzzy logic-based controller. The tuning method used for PID are Ziegler-Nichols, Cohen and Coon, and IMC. For the plant model, we are using Hovorka model, and food is chosen as the major factor that affects blood sugar level. |
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