کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون

صفحه اصلی / نهمین کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون

Adaptive Fractional Sliding Mode Controller for Controlling Airway pressure in an Artificial Ventilation System

نویسندگان :

Amir Veisi¹ Hamoun Maleki² Hadi Delavari³

1- دانشگاه صنعتی همدان 2- دانشگاه صنعتی همدان 3- دانشگاه صنعتی همدان

کلمات کلیدی :

Sliding Mode Control،Adaptive law،Artificial Ventilation System،Covid-19،Fractional Calculus،Ant Colony Optimization

چکیده :

Nowadays, artificial ventilation is one of the vital tools for medical purposes. As the reliability of such devices increases, the need to design a suitable controller increases. A mechanical ventilator is an important medical device that helps patients with breathing problems. In recent times, a large percentage of patients with Covid-19 suffer from respiratory system failure. In order to ensure the abundant availability of mechanical ventilators during the COVID-19 pandemic, most manufacturers around the world have adopted open-source designs. In this paper a novel adaptive fractional order non-singular fast terminal sliding mode controller based on ant colony optimization algorithm is proposed to control the air pressure of the artificial ventilation system. For comparison an Adaptive Sliding Mode Controller (ASMC) is designed. The Ant Colony Optimization (ACO) is used to adjust the parameters of both ASMC and the proposed controller. The sliding mode controller is one of the robust control methods. This method is robust against external disturbances of the system. Optimizing the parameters increases the speed and accuracy of the proposed method. The performance of the proposed method is compared with the ASMC based Ant Colony Optimization. Ultimately, the performance of the proposed method is examined against the higher transmission rates (model uncertainty) and compared to the ASMC.

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