Application of an Optimal ILC Algorithm for Flow Rate Tracking of a Ventilator System
Application of an Optimal ILC Algorithm for Flow Rate Tracking of a Ventilator System
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最佳 ILC 算法在呼吸机系统流量跟踪中的应用
DOI：
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发表时间：
2020
期刊：
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通讯作者：
A. Swarup
中科院分区：
文献类型：
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作者：
H. Hazarika;A. Swarup
本文考虑了应用最优迭代学习控制（ILC）的机械呼吸机控制呼吸机的流量在吸气阶段。机械呼吸机是一种医疗器械，它为患有急性呼吸功能不全的患者提供所需的空气和补充氧气。呼吸是一个重复的过程，因此可以应用ILC来控制机器的流量。针对医疗设备对系统性能要求较高的特点，提出了一种鲁棒PID反馈控制器，既能提高系统的性能，又能提高系统对参数变化的容忍度。仿真结果在MATLAB-2017中得到。
This paper considers the application of an optimal Iterative Learning Control (ILC) to a mechanical ventilator for controlling the flow rate of a ventilator during the inspiration phase. Mechanical ventilator is a medical device that produces the required quantity of air and supplemental oxygen needed for the patient, suffering from acute respiratory insufficiency. Respiration is a repeated process so ILC can be applied to control flow rate of the machine. Since medical devices demand high performance so a robust PID controller is proposed in feedback, which will help in performance improvement as well as increase tolerance to some amount of parameters variation of the system. The simulation results are obtained in MATLAB-2017.