Adaptive control of a pressure-controlled artificial ventilator: a simulator-based evaluation using real COPD patient...

Area of Science:

• Biomedical Engineering
• Control Systems Engineering
• Respiratory Medicine

Background:

• Artificial ventilation is crucial for patients with Chronic Obstructive Pulmonary Disease (COPD).
• Pressure-controlled ventilation requires precise management of inspiratory flow to regulate peak airway pressure.
• Existing control strategies may face challenges with patient-specific respiratory dynamics.

Purpose of the Study:

• To apply a direct adaptive controller to pressure-controlled artificial ventilation for COPD patients.
• To ensure peak inspiratory pressures remain below critical thresholds.
• To investigate the controller's performance using patient-specific respiratory models.

Main Methods:

• A direct adaptive PID controller was designed and simulated.
• Fractional-order models of respiratory impedance, derived from 21 COPD patients' lung function data, were used.
• Controller performance was evaluated under varying respiratory impedance parameters.

Main Results:

• The adaptive PID controller successfully maintained peak pressures within safe limits.
• The controller demonstrated robustness against variations in patient respiratory impedance.
• Simulations provided insights into realistic clinical scenarios and potential online implementation.

Conclusions:

• The direct adaptive controller is a suitable and effective strategy for pressure-controlled artificial ventilation in COPD patients.
• The controller's adaptive nature enhances safety and reliability in managing ventilation.
• This approach offers valuable insights for developing advanced mechanical ventilation systems.