Method for adjusting pressure of anesthesia machine and breathing machine through flow and pressure common control

Abstract

The invention discloses a method for adjusting pressure of an anesthesia machine and a breathing machine through flow and pressure common control, which is characterized by comprising the following steps of: calculating a pressure value under the current flow by using a formula P=F*R in a pressure control mode, wherein P is pressure; F is the current flow; and R is air resistance; estimating the pressure at a next moment under the current pressure value by using a Kalman estimation algorithm into which sub-items with control parameters influencing an overall estimation result are added; substituting the estimated pressure value into an error system to calculate a control error quantity, performing proportion integration differentiation (PID) control on the control error quantity, and converting into control pressure required at the next moment; converting the control pressure into standard control flow by using the formula P=F*R; and inputting the converted control flow into a flow PID ratio controller for flow feedback control.

Description

technical field [0001] The invention relates to a high-performance and high-precision pressure control ventilation mode 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. There are two known pressure control methods: [0003] The pressure PID control is used to directly control the pressure of the patient. 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 c...

AI Technical Summary

Problems solved by technology

The disadvantage is that in the design process, the discourse gear and the membership relationship of the membership function in the fuzzy control rules have a relatively large impact on the control algorithm, and the gears and membership relationships are too dense. The calculation time of the control algorithm is too long, and expensive DSP is required. It can be realized quickly, if the gear position and subordinate relationship are too sparse, and the rule coverage is not enough, some control values ​​under certain R and C values ​​will not be covered, resulting in overshooting during the ventilation process, especially in very few special cases There will be shock phenomenon, which will increase the ventilation burden of the patient under these special R and C values, and cause complications

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