Anesthesia respirator pressure adjusting algorithm

Abstract

The invention discloses an anesthesia respirator pressure adjusting method. The method includes the steps that firstly, part of R values and C values are selected as positioning points; PID control parameter adjustment is conducted on each R value and each C value; according to the corresponding relations between each R value and the corresponding PID parameter and between each C value and the corresponding PID parameter, a membership function is established according to the fuzzy mathematical principle, and discourse domains of the membership function are graded; according to the grading condition, a fuzzy rule and a decision-making method are formulated, and a corresponding fuzzy control algorithm is written according to the formulated fuzzy rule and the decision-making method; accordingto the fuzzy control algorithm, the PID parameters corresponding to the R values and the C values which are not set as positioning points in R value and C value ranges are automatically calculated; and the PID parameters obtained through calculation are used for pressure feedback control of a whole pressure control system.

Description

technical field [0001] The invention provides a high-performance, high-precision pressure control ventilation method for realizing anesthesia machines and ventilators, and belongs to the technical field of medical equipment manufacturing. Background technique [0002] In the control of anesthesia machines and ventilators, pressure-controlled ventilation is required for some special patients. The traditional method uses pressure PID control to directly control the pressure of patients. The advantage of this method is that the algorithm is simple to implement, and the PID pressure control realized by using a high-performance processor can be used for most patients with special diseases. The disadvantage is that for patients with different lesions, their own R and C values ​​are different. Using the traditional pressure control method to control the entire system based solely on the monitored pressure cannot well adapt to pressure changes under various R and C conditions. The ...

AI Technical Summary

Problems solved by technology

The disadvantage is that for patients with different lesions, their own R and C values ​​are different. Using the traditional pressure control method to control the entire system based solely on the monitored pressure cannot well adapt to pressure changes under various R and C conditions. Insufficient ventilation or overshooting will cause serious harm to patients, and in order to achieve high-performance control and apply to more patients with R and C values, it is necessary to use a high-performance processor for real-time control processing, and the hardware cost is high