FUZZY BASED CONTROL OF VOLUME AND PRESSURE ASSIST MEDICAL VENTILATOR

Positive pressure ventilation (PPV) mode is the direct application of air to the patient’s
lungs and is the most commonly used ventilation mode for passive patients. Mechanical
ventilators are life-saving medical equipment if a person is unable to breathe on their own.
Due to the scarcity and unavailability of the machines, patients are not getting assistance.
The proposed thesis aims to design a low-cost volume and pressure-controlled mechanical
ventilator for pandemic emergencies and scarcity. A Fuzzy logic controller is used to
control both the pressure and volume parameters. The designed system can be used for
different patients that need different tidal volumes and pressure. The clinician can set the
tidal volume and airway pressure depending on the lung requirements. A piston cylinder
mechanism is used to deliver the required volume and pressure of gas to the pneumatic
circuit. Armature controlled DC motor is used to drive the ventilator mechanism, and its
model is used to determine the maximum displacement, velocity, and delivery capacity of
the mechanism. The testing is done by interfacing the sensors and actuators and deploying
the Simulink model on an Arduino mega controller. A medical linear test lung simulator is
used for the test