Research on Multivariable Adjustment Algorithm of Voice Coil Motor

In respiratory support equipment, the exhalation valve is a key component for achieving precise pressure control. Its adjustment method and output characteristics directly affect the pressure output accuracy of the ventilator. The voice coil motor is usually used as the core structure to drive the exhalation valve. It can adjust the valve opening in real time to accurately adjust and maintain the pressure and flow of the airway. However, the traditional pressure regulation method often fails to fully consider the nonlinear characteristics of the system when designing the controller; it also ignores the influence of flow in pressure regulation. This affects the accuracy and response speed of pressure regulation, reduces the safety and stability of the equipment, and poses a potential risk to the patient's life safety. This paper first applies the nonlinear model predictive control algorithm to the pressure tracking of the exhalation valve system. By fitting the three-dimensional relationship model of flow, pressure and current with sampling data, the joint regulation of pressure and flow is realized. Finally, the performance and robustness of the controller are verified through modeling and simulation. The results show that the regulation algorithm can accurately track the target pressure under dynamic flow, reduce overshoot, improve response speed, and has good robustness.