优化非线性稳健控制器,以及对1型糖尿病患者血糖调节的模型参数估计
Atif Rehman1, Syed Hassan Ahmed2, Iftikhar Ahmad2
1School of Interdisciplinary Engineering and Sciences, National University of Sciences and Technology (NUST), Islamabad, Pakistan.
ISA transactions
|March 16, 2025
概括
新的自适应控制器在1型糖尿病中稳定血糖度 (BGC). 适应式后退集成超扭转滑动模式控制 (ABIST-SMC) 在模拟和硬件测试中表现出卓越的效率.
科学领域:
- 生物医学工程 生物医学工程
- 控制系统理论 控制系统理论
- 内分泌学 在内分泌学.
背景情况:
- 葡萄糖对于细胞能量和生理过程至关重要.
- 精确调节血糖度 (BGC) 对健康至关重要.
- 人工胰腺系统使用控制算法来控制糖尿病中的BGC管理.
研究的目的:
- 开发和比较强大的非线性控制器,以稳定1型糖尿病患者的BGC.
- 通过适应性控制策略来减轻饮食和运动带来的干扰.
- 提高1型糖尿病患者的健康结果和生活质量.
主要方法:
- 拟议的自适应后退滑动模式控制 (AB-SMC) 和自适应后退集成超扭转滑动模式控制 (ABIST-SMC).
- 通过使用扩展的伯格曼最小模型 (EBMM) 进行后退滑动模式控制 (B-SMC) 的拟议控制器的比较.
- 采用了自适应参数估计,改进了灰色狼优化,以及用于稳定性分析的利亚普诺夫控制理论.
主要成果:
- ABIST-SMC展示了最高的效率,在不到1.92分钟的时间内实现了目标BGC减少.
- 通过利亚普诺夫分析,拟议的控制器显示出强大的性能和非对称稳定性.
- 模拟和硬件循环实验验证实了控制器的有效性.
结论:
- 开发的自适应控制器为1型糖尿病提供了有效的BGC调节.
- 在人工胰腺控制策略方面,ABIST-SMC提出了一个有前途的进展.
- 该研究强调了通过先进的控制技术改善糖尿病管理的潜力.
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