[Research on magnetic coupling centrifugal blood pump control based on a self-tuning fuzzy PI algorithm]

Area of Science:

• Biomedical Engineering
• Control Systems Engineering
• Medical Devices

Background:

• Blood pump performance is crucial for artificial circulation.
• Effective control algorithms are essential for optimizing blood pump function.
• Existing control methods may lack adaptability to varying physiological conditions.

Purpose of the Study:

• To design and research a control system for a laboratory-developed magnetic coupling centrifugal blood pump.
• To investigate the application of a self-tuning fuzzy PI control algorithm for brushless DC motors in blood pumps.
• To evaluate the impact of the proposed control algorithm on blood pump dynamic and static performance.

Main Methods:

• Development of a magnetic coupling centrifugal blood pump structure and body circulation model.
• Implementation of a motor current double-loop control algorithm for a brushless DC motor.
• Design and simulation of a self-tuning fuzzy PI control algorithm using Matlab Simulink.
• Hardware implementation and experimental validation of the control system.

Main Results:

• The self-tuning fuzzy PI control algorithm demonstrated significant improvements in both dynamic and static performance of the blood pump.
• The control system successfully achieved stable and adjustable motor speed.
• Consistent and adjustable blood pump flow rates were achieved, validated through experimental data.

Conclusions:

• The self-tuning fuzzy PI control algorithm offers a robust solution for enhancing the performance of magnetic coupling centrifugal blood pumps.
• This control strategy leads to improved stability and adjustability of blood flow, critical for patient support.
• The research validates the effectiveness of adaptive control in biomedical applications like artificial hearts.