Fpga implementation of second order sliding mode based on st algorithm for type i diabetes
Joint Authors
Jaddu, Iman Hassuni
Karam, Ikhlas Hamid
Source
Journal of Engineering and Sustainable Development
Publisher
al-Mustansyriah University College of Engineering
Publication Date
2020-12-31
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Topics
English Abstract
Diabetes is an increasing worldwide health problem.
In particular, patients with type 1 diabetes who require strict control of blood glucose because they have insulin production insufficient.
In this paper, the Second Order Sliding Mode Controller (SOSMC) depending on Super Twisting Algorithm (STA) has suggested to control the blood glucose levels of humans and regulate it.
The Bergman Minimal (BEM) is the mathematical model explaining the dynamics behavior of blood glucose concentration.
The parameters of the suggested SOSMC have optimized by using Chaotic Particle Swarm Optimization (CPSO) algorithm.
The simulation part has done to validate the efficiency of the suggested controller depending on MATLAB / Simulink.
Also, the SOSMC controller scheme has implemented by Field Programmable Gate Array (FPGA) and downloaded to the Spartan-6 (XC6SLX45T-3FGG484) board.
The performance results obtained for the suggested controller in calculating the insulin infusion intensity for different patients indicate its efficacy and robustness in controlling blood glucose levels for type 1 Diabetes is an increasing worldwide health problem.
In particular, patients with type 1 diabetes who require strict control of blood glucose because they have insulin production insufficient.
In this paper, the Second Order Sliding Mode Controller (SOSMC) depending on Super Twisting Algorithm (STA) has suggested to control the blood glucose levels of humans and regulate it.
The Bergman Minimal (BEM) is the mathematical model explaining the dynamics behavior of blood glucose concentration.
The parameters of the suggested SOSMC have optimized by using Chaotic Particle Swarm Optimization (CPSO) algorithm.
The simulation part has done to validate the efficiency of the suggested controller depending on MATLAB / Simulink.
Also, the SOSMC controller scheme has implemented by Field Programmable Gate Array (FPGA) and downloaded to the Spartan-6 (XC6SLX45T-3FGG484) board.
The performance results obtained for the suggested controller in calculating the insulin infusion intensity for different patients indicate its efficacy and robustness in controlling blood glucose levels for type 1 diabetes.
Data Type
Conference Papers
Record ID
BIM-1263602
American Psychological Association (APA)
Jaddu, Iman Hassuni& Karam, Ikhlas Hamid. 2020-12-31. Fpga implementation of second order sliding mode based on st algorithm for type i diabetes. . Vol. 24, Special issue (2020), pp.100-108.Baghdad Iraq : al-Mustansyriah University College of Engineering.
https://search.emarefa.net/detail/BIM-1263602
Modern Language Association (MLA)
Jaddu, Iman Hassuni& Karam, Ikhlas Hamid. Fpga implementation of second order sliding mode based on st algorithm for type i diabetes. . Baghdad Iraq : al-Mustansyriah University College of Engineering. 2020-12-31.
https://search.emarefa.net/detail/BIM-1263602
American Medical Association (AMA)
Jaddu, Iman Hassuni& Karam, Ikhlas Hamid. Fpga implementation of second order sliding mode based on st algorithm for type i diabetes. .
https://search.emarefa.net/detail/BIM-1263602
