基于三支决策的双激素人工胰脏模型预测控制算法研究

doi:10.3969/j.issn.1000-1158.2021.05.21

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摘要目前，关于双激素人工胰脏子系统切换机制的研究较少，并且现有研究在运行效率和群体控制质量上有待提高。以三支决策理论和模型预测控制算法为依托，提出一种基于三支决策的双激素人工胰脏模型预测控制算法。该算法利用三支决策理论设计3个子系统之间的切换规则，该规则通过设计包含经济代价和高低血糖风险的代价矩阵，计算切换到每个子系统的决策风险值，确保最终切换到风险值最小的子系统。利用UVA仿真平台对33位虚拟病人进行实验并从多方面对仿真结果进行分析，证明该算法能很好地将血糖控制在正常范围内，在跟踪误差、风险指数、运行效率和对多个病人的群体控制质量上取得了良好的效果。

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	孙超
	孔雪华
	高军
	陆凯旋
	杜鹏翔

关键词 ：计量学, 双激素人工胰脏, 切换规则, 三支决策理论, 模型预测控制, UVA仿真平台

Abstract：At present, there are few studies on the switching mechanism of double-hormone artificial pancreas subsystems, and existing studies need to be improved in terms of operation efficiency and group control quality. To solve the aboved problem, based on the three decision theory and model predictive control algorithm, a model predictive control algorithm of double-hormone artificial pancreas based on three-branch decision theory was proposed. The algorithm used the three decision theory to design the switching rules among the three subsystems. The rule calculated the decision risk value of switching to each subsystem by designing the cost matrix including economic cost and high and low blood sugar risk, so as to ensure the final switching to the subsystem with the minimum risk value. Finally, 33 virtual patients were experimented on a mature UVA simulation platform and the simulation results were analyzed from various aspects. It was proved that the mentioned algorithm could control blood glucose well within the normal range, and had achieved good results in tracking error, risk index, operation efficiency and group control quality of multiple patients.

Key words： metrology double-hormone artificial pancreas switching rule three-branch decision theories model predictive control UVA simulation platform

收稿日期: 2019-07-24 发布日期: 2021-05-24

PACS:

TB99

基金资助:河北省科学技术研究与发展计划科技支撑计划项目(16214532);河北省自然科学基金青年科学基金(F2016203354)

作者简介: 孙超(1983-),男,河北秦皇岛人,燕山大学电气工程学院副教授,主要从事智能控制技术、电气工程及自动化、无线传感器网络等方面的研究。Email: 18633525997@163.com

引用本文:

孙超,孔雪华,高军,陆凯旋,杜鹏翔. 基于三支决策的双激素人工胰脏模型预测控制算法研究[J]. 计量学报, 2021, 42(5): 681-688.
SUN Chao,KONG Xue-hua,GAO Jun,LU Kai-xuan,DU Peng-xiang. Research on Model Predictive Control Algorithm of Double-hormone Artificial Pancreas Based on Three-branch Decision Theory. Acta Metrologica Sinica, 2021, 42(5): 681-688.

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http://jlxb.china-csm.org:81/Jwk_jlxb/CN/10.3969/j.issn.1000-1158.2021.05.21 或 http://jlxb.china-csm.org:81/Jwk_jlxb/CN/Y2021/V42/I5/681

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