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- W3091686102 abstract "Background and Objective: An artificially ventilated human respiratory system is used to help breathing of a patient with respiratory problem. The level of oxygen is maintained stable by controlling the airway pressure in the lungs mechanism with the help of medical ventilator. For pressure control in a ventilator, the airway pressure in lungs mechanism is controlled by a motor driven piston mechanism. The optimal setting of controller parameters of a respiratory ventilator system depends on many factors of a patient such as physical condition of patient, need of oxygen, age of a patient etc. Therefore, computer operated algorithm based artificial ventilation system becomes most popular for its better performance, efficiency, and easy control mechanism. In this paper, a simple swarm optimization based controller design approach is systematically verified to design suitable controller for pressure controlled artificially ventilated human respiratory system. A modified constricted class topper optimization (C-CTO) algorithm is proposed for tuning the controller in an artificial ventilator system. Methods: A pressure controlled ventilation (PCV) model has been considered. A proportional-integral-derivative (PID) controller structure is considered for the PCV. Three different optimization approach (Particle swarm optimization (PSO), class topper optimization (CTO) and a modified constricted class topper optimization (C-CTO)) are verified one by one for the purpose of tuning PID controller for PVC system. Results: The performances of swarm based controller in PCV system for three different cases are examined in terms of settling times and maximum overshoot of the system. Conclusions: The swarm based optimization approach is improving the dynamic response of pressure control artificially ventilated human respiratory system. In this paper, a simple piston-motor driven lung mechanism is applied to verify the swarm based approach, but this approach can further be checked in the future for more complex human lungs artificially ventilated system." @default.
- W3091686102 created "2020-10-08" @default.
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- W3091686102 date "2021-01-01" @default.
- W3091686102 modified "2023-10-12" @default.
- W3091686102 title "Swarm optimization approach to design PID controller for artificially ventilated human respiratory system" @default.
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- W3091686102 doi "https://doi.org/10.1016/j.cmpb.2020.105776" @default.
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