Open AccessFuzzy Model Predictive Controller for Artificial Pancreas
Author(s) -
Mohamed Hachimi,
Abdelhakim Ballouk,
AbdNaceur Baghdad
Publication year - 2018
Publication title -
international journal of power electronics and drive systems (ijpeds)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.322
H-Index - 21
ISSN - 2088-8694
DOI - 10.11591/ijpeds.v9.i3.pp1178-1185
Subject(s) - artificial pancreas , model predictive control , computer science , fuzzy logic , controller (irrigation) , control theory (sociology) , tree (set theory) , artificial intelligence , control (management) , mathematics , medicine , mathematical analysis , type 1 diabetes , agronomy , biology , diabetes mellitus , endocrinology
This work consists on new tuning of Model Predictive Controllers using Fuzzy Logic method. Tree relevant parameters are automatically adjusted the prediction horizon Np, the input weight R and the output weight Q. The proposed controller is implemented in an Artificial Pancreas and tested under realistic conditions in a commercial platform of simulation. The result of the simulations revealed the success of such a method to improve the controller’s performances compared to the previous ones.