Linear Parametric Identification for a Servomechanism in a Mechanical Ventilator System

2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2020-11-04 DOI:10.1109/ROPEC50909.2020.9258727

J. P. Flores, Gerardo Rojas Soltero, C. Mondragón, Herubey Acosta Arellano, Mario Jafet Áviles Blanco, Josue Ojeda Villegas, Alberto Alonso Arellano, E. E. Rodríguez-Vázquez

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Abstract

Covid-19 has caused a health and economic crisis worldwide. Unfortunately, the lack of medical equipment, such as ventilators, represent a significant obstacle for the medical community to treat patients suffering from this virus, therefore we decided to create an algorithm that can correctly estimate linear parameters for an auxiliary mechanical ventilation system with the purpose of helping developers to filter respiratory leaks from a signal. This work was developed in the facilities of Universidad Anahuac Querétaro, the system's signal was emulated in MATLAB. To ensure the lowest percentage of error possible, proposed values were chosen based on their proximity to the original matrix which was calculated with the values of the torque, angular velocity, and angular position. After several tests, an accuracy of 98% was achieved with the A matrix values, this allowed us to correctly estimate linear parameters

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机械呼吸机系统伺服机构的线性参数辨识

Covid-19在全球范围内引发了健康和经济危机。不幸的是，缺乏医疗设备，如呼吸机，是医学界治疗这种病毒患者的一个重大障碍，因此我们决定创建一个算法，可以正确估计辅助机械通风系统的线性参数，目的是帮助开发人员从信号中过滤呼吸泄漏。本工作是在阿纳瓦克大学的设备上开发的，并用MATLAB对系统的信号进行了仿真。为了保证尽可能低的误差百分比，建议值是根据它们与原始矩阵的接近程度来选择的，原始矩阵由扭矩、角速度和角位置的值计算得到。经过多次测试，A矩阵值的准确度达到98%，这使我们能够正确估计线性参数

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2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)

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