当前位置: X-MOL 学术IET Syst. Biol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Sliding-mode-based controllers for automation of blood glucose concentration for type 1 diabetes.
IET Systems Biology ( IF 2.3 ) Pub Date : 2021-04-01 , DOI: 10.1049/syb2.12015
Sheraz Ahmad Babar,Iftikhar Ahmad,Iqra Shafeeq Mughal

Destruction of β-cells in pancreas causes deficiency in insulin production that leads to diabetes in the human body. To cope with this problem, insulin is either taken orally during the day or injected into the patient's body using artificial pancreas (AP) during sleeping hours. Some mathematical models indicate that AP uses control algorithms to regulate blood glucose concentration (BGC). The extended Bergman minimal model (EBMM) incorporates, as a state variable, the disturbance in insulin level during medication due to either meal intake or burning sugar by engaging in physical exercise. In this research work, EBMM and proposed finite time robust controllers are used, including the sliding mode controller (SMC), backstepping SMC (BSMC) and supertwisting SMC (second-order SMC or SOSMC) for automatic stabilisation of BGC in type 1 diabetic patients. The proposed SOSMC diminishes the chattering phenomenon which appears in the conventional SMC. The proposed BSMC is a recursive technique which becomes robust by the addition of the SMC. Lyapunov theory has been used to prove the asymptotic stability of the proposed controllers. Simulations have been carried out in MATLAB/Simulink for the comparative study of the proposed controllers under varying data of six different type 1 diabetic patients available in the literature.

中文翻译:

用于 1 型糖尿病血糖浓度自动化的基于滑动模式的控制器。

胰腺中 β 细胞的破坏会导致胰岛素产生不足,从而导致人体内的糖尿病。为了解决这个问题,胰岛素要么在白天口服,要么在睡眠时间使用人工胰腺 (AP) 注射到患者体内。一些数学模型表明 AP 使用控制算法来调节血糖浓度 (BGC)。扩展的伯格曼最小模型 (EBMM) 将药物治疗期间由于进餐或通过体育锻炼燃烧糖而引起的胰岛素水平干扰作为状态变量。在这项研究工作中,使用了 EBMM 和提出的有限时间鲁棒控制器,包括滑模控制器 (SMC),backstepping SMC (BSMC) 和 supertwisting SMC (second-order SMC or SOSMC) 用于自动稳定 1 型糖尿病患者的 BGC。所提出的 SOSMC 减少了传统 SMC 中出现的颤振现象。所提出的 BSMC 是一种递归技术,通过添加 SMC 变得健壮。Lyapunov 理论已被用于证明所提出的控制器的渐近稳定性。已在 MATLAB/Simulink 中进行了模拟,用于在文献中可用的六种不同 1 型糖尿病患者的不同数据下对所提出的控制器进行比较研究。Lyapunov 理论已被用于证明所提出的控制器的渐近稳定性。已在 MATLAB/Simulink 中进行了模拟,用于在文献中可用的六种不同 1 型糖尿病患者的不同数据下对所提出的控制器进行比较研究。Lyapunov 理论已被用于证明所提出的控制器的渐近稳定性。已在 MATLAB/Simulink 中进行了模拟,用于在文献中可用的六种不同 1 型糖尿病患者的不同数据下对所提出的控制器进行比较研究。
更新日期:2021-04-01
down
wechat
bug