Blood Glucose Regulation in Type-1 Diabetic Patients using Sliding Mode Control Based on Nonlinear Transformation (original) (raw)
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IET Systems Biology, 2018
Here, a direct adaptive control strategy with parametric compensation is adopted for an uncertain non-linear model representing blood glucose regulation in type 1 diabetes mellitus patients. The uncertain parameters of the model are updated by appropriate design of adaptation laws using the Lyapunov method. The closed-loop response of the plasma glucose concentration as well as external insulin infusion rate is analysed for a wide range of variation of the model parameters through extensive simulation studies. The result indicates that the proposed adaptive control scheme avoids severe hypoglycaemia and gives satisfactory performance under parametric uncertainty highlighting its ability to address the issue of inter-patient variability.
Blood glucose regulation using higher-order sliding mode control
International Journal of Robust and Nonlinear Control, 2008
Diabetes is discussed as a serious condition in which the body's production and use of insulin are impaired, causing glucose concentration level to increase in the bloodstream. In this paper, higher-order sliding mode control techniques, in specific prescribed convergence law, quasi-continuous and super-twisting control algorithms, are used to robustly stabilize the glucose concentration level of a diabetic patient in presence of the parameter variations and meal disturbance. The structure of the proposed higher-order sliding mode controllers is appropriate for making the insulin delivery pumps in closed-loop control of diabetes. A computer simulation is performed to manifest the theoretical analysis. The super-twisting algorithm is employed to attenuate the effect of chattering and obtain continuous control in the simulations. The efficiency of the proposed controller, i.e. robustness and high accuracy, in presence of physical disturbances like food intake and parametric uncertainties is verified via simulations.
Journal of Medical Signals & Sensors, 2015
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.
Higher Order Sliding Mode Control for Blood Glucose Regulation
International Workshop on Variable Structure Systems, 2006. VSS'06., 2006
Diabetes is discussed as a serious condition in which the body's production and use of insulin is impaired, causing glucose concentration level to increase in the bloodstream. In this paper, higher order sliding mode control technique, in specific super-twisting algorithm, is used to robustly stabilize the glucose concentration level of a diabetic patient in presence of the parameter variations and meal disturbance. The super-twisting algorithm is employed to attenuate the effect of chattering and obtain continuous control. The structure of the proposed sliding mode controller is appropriate for making the insulin delivery pumps in closed loop control of diabetes. A computer simulation is performed to manifest the theoretical analysis. The efficiency of the proposed controller i.e. robustness and high accuracy, in presence of physical disturbances like food intake is verified via simulations.
High-order sliding-mode control for blood glucose regulation in the presence of uncertain dynamics
2011
High order sliding mode controller (HOSMC) is proposed for blood glucose regulation. With this aim a novel concept of Practical Relative Degree (PRD) and a method of its identification are suggested. First, for PRD identification method is applied for the most simple (Bergman Minimal Model) and the most complicated (Sorensen Model) models concluding that the common PRD for both models is three. Then, a third order quasi-continuous control law was designed. The proposed control law has been tested on simulations for a third model (Hovorka Model), and both above mentioned models. Finally, the experiments are performed with rats just to show that control design based on PRD three is efficient.
Robust sliding mode closed-loop glucose control with meal compensation in type 1 diabetes mellitus
2008
Abstract: This work addresses the design of a robust closed-loop plasma glucose controller for Type 1 Diabetes Mellitus patients. The feedback controller is based on Sliding Mode Control (SMC) while robust feedforward boluses to compensate food intake are calculated in a robust way by means of an interval glucose predictor that minimizes the risk of hypoglycaemia. The designed controller has been validated in a virtual environment following standard protocols.
Design of Second Order Sliding Mode for Glucose Regulation Systems with Disturbance
International Journal of Engineering & Technology, 2018
In this work, Design of second order sliding mode control has been developed to control the diabetic glucose concentration level under disturbing meal has been controlled using three sliding mode controllers. A comparative study of three sliding mode controllers is made in terms of robustness characteristics due to meal feeding. The first is the classical sliding mode controller, the second is integral sliding mode controller and the third is the second order sliding mode controller. Due to their characteristic features of disturbance rejection, all the three sliding mode controllers are presented here for comparison. The Bergman minimal mathematical model is used to describe the dynamic behavior of blood glucose concentration due to insulin regulator injection. Simulations, based on MATLAB/Simulink, were performed to verify the performance of each controller. It has been shown that integral and second order sliding mode controllers are the best of all in terms of disturbance rejection capability.
International Journal of Distributed Sensor Networks
Diabetes mellitus is a persistent metabolic syndrome caused by impaired capability of the body’s production and usage of insulin. This impaired capability results in chronic hyperglycaemia, the elevated glucose concentration in the bloodstream, which may lead to many incurable complications. To escape this dire situation, a proper model-based exogenous infusion of insulin bolus is required, which is usually established via different feedback control strategies. In this article, the authors present a mathematical model–based robust integral sliding mode control approach for stabilization of internal glucose–insulin regulatory system in type-1 diabetic patient. Since the state variables of the system are not directly available to the controller, a uniform exact differentiator observer is employed to accomplish the aforementioned task. In the proposed control law, the incorporation of integral term in the switching manifold eliminates the reaching phase, which causes the sliding mode t...
Backstepping Nonlinear Control for Blood Glucose Based on Sliding Mode Meal Observer
Al-Nahrain Journal for Engineering Sciences
Diabetes is one of the most critical diseases in the world which requires measuring the concentration of glucose also the injection of insulin to control the glucose rate in the body. The proposed controller is applied to the Bergman’s three-state minimal patient model, where the model is considered certain but with unknown meal. In the present work, a nonlinear controller is designed to control the concentration of glucose based on the Backstepping approached with a sliding mode for observing the disturbance meal. So will have estimated the meal and have canceled the effect that the glucose concentration has regulating to the basal level. The effectiveness of the proposed controller, which represent the insulin dose, is proved via simulating the Bergman’s model with designed controller via MATLAB Simulink software. The result clarify the ability and the robustness of the proposed controller.