Linear Parametric Identification for a Servomechanism in a Mechanical Ventilator System

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.