Fuzzy DC Motor Controller for Smart Ventilator

Abstract

This paper introduces an innovative approach to address the escalating demand for critical medical equipment, particularly ventilators, amid the COVID-19 pandemic. To ensure precision and stability in operation, a direct current (DC) motor is engineered to maintain a constant speed and voltage, irrespective of fluctuations in system load. Given the imperative need for cost-effective and adaptable ventilators in emergency medical applications, the proposed solution stands as a pivotal contribution. In response to the urgency of the situation, this research leverages fuzzy logic techniques, implemented using Matlab, to create a sophisticated control system for the DC motor. Fuzzy rules are replicated in Matlab, enabling the system to dynamically adapt to changing conditions and demands. The utilization of fuzzy logic controllers is a key highlight, facilitating efficient speed and voltage control of the DC motor. This control mechanism operates through a judicious combination of field current and armature voltage in the constant power region while relying on armature voltage in the constant torque zone. This approach not only enhances the adaptability of the ventilator system but also contributes to its affordability, making it a viable solution for the challenging landscape of emergency medical scenarios.