Fpga implementation of second order sliding mode based on st algorithm for type i diabetes

المؤلفون المشاركون

Jaddu, Iman Hassuni
Karam, Ikhlas Hamid

المصدر

Journal of Engineering and Sustainable Development

الناشر

الجامعة المستنصرية كلية الهندسة

تاريخ النشر

2020-12-31

دولة النشر

العراق

عدد الصفحات

9

التخصصات الرئيسية

الهندسة المدنية

الموضوعات

• مرض السكري
• الجلوكوز
• التحكم في وضع الانزلاق
• مقياس السكر

الملخص الإنجليزي

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.

نوع البيانات

أوراق مؤتمرات

رقم السجل

BIM-1263602

• APA
• MLA
• AMA