Particle Swarm Optimization based PID-Controller Design for Volume Control of Artificial Ventilation System

Abstract

Artificial ventilation has become a necessary means for medical purposes. With an increase in the reliability of such devices, the need for designing a proper controller is growing. The main purpose of this paper is to design a particle swarm optimization (PSO) based PID-controller to control the volume of the artificial ventilation systems. PSO algorithm is used to tune the gains of the PID controller. It aims at improving the dynamic stability of an artificial ventilation system. A step signal is considered as the desired signal for the system which acts as a reference signal for the controller. With the optimum parameters of the designed controller, the dynamic stability of the volume control ventilation system is improved.