Method for carrying out anesthesia respirator pressure control by using fuzzy control algorithm

Abstract

The invention relates to a method for carrying out anesthesia respirator pressure control by using a fuzzy control algorithm. The method includes the following steps that: a part of R values and C values are selected as positioning points; PID control parameter adjustment is performed on each R value positioning point and C value positioning point; a membership function is established according to a fuzzy mathematics principle based on corresponding relationships between each R value and C value and PID parameters corresponding to the R value and C value, and each domain of discourse of the membership function is graded; a fuzzy rule and a decision making method are formulated according to a grading condition, and a corresponding fuzzy control algorithm is written according to the formulated fuzzy rule and decision making method; PID parameters corresponding to R values and C values which are not set as positioning points and are beyond the value ranges of the R values and C values are automatically calculated; and the PID parameters which are obtained through calculation are utilized to carry out pressure feedback control on 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 ...

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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

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