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Regulation of Blood Glucose Concentration in Type 1 Diabetics Using Single Order Sliding Mode Control Combined with Fuzzy On-line Tunable Gain, a Simulation Study.

Dinani ST, Zekri M, Kamali M - J Med Signals Sens (2015 Jul-Sep)

Bottom Line: Moreover, it attenuates the chattering observed in SOSMC significantly.It is worth noting that in this approach, a mathematical model called minimal model is applied instead of the intravenously infused insulin-blood glucose dynamics.The simulation results demonstrate a good performance of the proposed controller in meal disturbance rejection and robustness against parameter changes.

View Article: PubMed Central - PubMed

Affiliation: Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran.

ABSTRACT
Diabetes is considered as a global affecting disease with an increasing contribution to both mortality rate and cost damage in the society. Therefore, tight control of blood glucose levels has gained significant attention over the decades. This paper proposes a method for blood glucose level regulation in type 1 diabetics. The control strategy is based on combining the fuzzy logic theory and single order sliding mode control (SOSMC) to improve the properties of sliding mode control method and to alleviate its drawbacks. The aim of the proposed controller that is called SOSMC combined with fuzzy on-line tunable gain is to tune the gain of the controller adaptively. This merit causes a less amount of control effort, which is the rate of insulin delivered to the patient body. As a result, this method can decline the risk of hypoglycemia, a lethal phenomenon in regulating blood glucose level in diabetics caused by a low blood glucose level. Moreover, it attenuates the chattering observed in SOSMC significantly. It is worth noting that in this approach, a mathematical model called minimal model is applied instead of the intravenously infused insulin-blood glucose dynamics. The simulation results demonstrate a good performance of the proposed controller in meal disturbance rejection and robustness against parameter changes. In addition, this method is compared to fuzzy high-order sliding mode control (FHOSMC) and the superiority of the new method compared to FHOSMC is shown in the results.

No MeSH data available.


Related in: MedlinePlus

Simulation results with no external disturbances when hyperglycemia exists; (a and b) Blood glucose concentration; (c and d) insulin infusion rate, (e) changing procedure of adaptive gain of single order sliding mode control combined with fuzzy on-line tunable gain, that is, k
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Figure 4: Simulation results with no external disturbances when hyperglycemia exists; (a and b) Blood glucose concentration; (c and d) insulin infusion rate, (e) changing procedure of adaptive gain of single order sliding mode control combined with fuzzy on-line tunable gain, that is, k

Mentions: For the second situation three meal intakes, including A = 50, A = 70, and A = 80 for breakfast, lunch, and dinner, respectively, are considered. These disturbances enter the system at the time of 100, 460, and 880 min, respectively. Matlab/simulink is used for the simulation. The proposed controller is applied to the nonlinear model of minimal model. The simulation results from this part are illustrated in Figures 4 and 5. It is a critical point to notice that the scales of some figures of the same type, especially the figures for insulin infusion rate are not the same in order to show a better resolution of them.


Regulation of Blood Glucose Concentration in Type 1 Diabetics Using Single Order Sliding Mode Control Combined with Fuzzy On-line Tunable Gain, a Simulation Study.

Dinani ST, Zekri M, Kamali M - J Med Signals Sens (2015 Jul-Sep)

Simulation results with no external disturbances when hyperglycemia exists; (a and b) Blood glucose concentration; (c and d) insulin infusion rate, (e) changing procedure of adaptive gain of single order sliding mode control combined with fuzzy on-line tunable gain, that is, k
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4528351&req=5

Figure 4: Simulation results with no external disturbances when hyperglycemia exists; (a and b) Blood glucose concentration; (c and d) insulin infusion rate, (e) changing procedure of adaptive gain of single order sliding mode control combined with fuzzy on-line tunable gain, that is, k
Mentions: For the second situation three meal intakes, including A = 50, A = 70, and A = 80 for breakfast, lunch, and dinner, respectively, are considered. These disturbances enter the system at the time of 100, 460, and 880 min, respectively. Matlab/simulink is used for the simulation. The proposed controller is applied to the nonlinear model of minimal model. The simulation results from this part are illustrated in Figures 4 and 5. It is a critical point to notice that the scales of some figures of the same type, especially the figures for insulin infusion rate are not the same in order to show a better resolution of them.

Bottom Line: Moreover, it attenuates the chattering observed in SOSMC significantly.It is worth noting that in this approach, a mathematical model called minimal model is applied instead of the intravenously infused insulin-blood glucose dynamics.The simulation results demonstrate a good performance of the proposed controller in meal disturbance rejection and robustness against parameter changes.

View Article: PubMed Central - PubMed

Affiliation: Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran.

ABSTRACT
Diabetes is considered as a global affecting disease with an increasing contribution to both mortality rate and cost damage in the society. Therefore, tight control of blood glucose levels has gained significant attention over the decades. This paper proposes a method for blood glucose level regulation in type 1 diabetics. The control strategy is based on combining the fuzzy logic theory and single order sliding mode control (SOSMC) to improve the properties of sliding mode control method and to alleviate its drawbacks. The aim of the proposed controller that is called SOSMC combined with fuzzy on-line tunable gain is to tune the gain of the controller adaptively. This merit causes a less amount of control effort, which is the rate of insulin delivered to the patient body. As a result, this method can decline the risk of hypoglycemia, a lethal phenomenon in regulating blood glucose level in diabetics caused by a low blood glucose level. Moreover, it attenuates the chattering observed in SOSMC significantly. It is worth noting that in this approach, a mathematical model called minimal model is applied instead of the intravenously infused insulin-blood glucose dynamics. The simulation results demonstrate a good performance of the proposed controller in meal disturbance rejection and robustness against parameter changes. In addition, this method is compared to fuzzy high-order sliding mode control (FHOSMC) and the superiority of the new method compared to FHOSMC is shown in the results.

No MeSH data available.


Related in: MedlinePlus