Be applicable to anesthetic machine, the respirator pressure regulating and controlling method of different R value C valuesTechnical field
The invention provides and a kind ofly for realizing the high-performance, high-precision pressure of anesthetic machine and respirator, control ventilating mode, belong to armarium manufacturing technology field.
Background technology
In anesthetic machine and respirator control, need some especial patient to carry out pressure controlled ventilation.Traditional approach adopts pressure P ID control directly patient to be carried out to pressure control, and this kind of method advantage is that simply, the PID pressure of realizing in use high-performance processor situation is controlled and be can be used for most special pathological changes patients in algorithm realization.Shortcoming is, different for himself R, C value of the patient of different lesions, utilize the pressure that the simple basis of traditional pressure controling mode monitors whole system to be controlled to the pressure variation that cannot adapt to well under various R, C, easily there is hypoventilation or over control, patient is produced to serious harm, and will realize high performance control, applicable more R, C value patient, need to adopt high performance processor to carry out controlling and processing in real time, hardware cost is high.
Summary of the invention
The object of the invention is in order effectively to carry out rational pressure-vent to the patient in different R, C situation in anesthetic machine and respirator, proposed a kind of anesthetic machine, respirator pressure regulating and controlling method that is applicable to different R value C values.
Technical scheme of the present invention is as follows:
The anesthetic machine, the respirator pressure regulating and controlling method that are applicable to different R value C values, is characterized in that, comprises the following steps:
(1) at R=1～100cmH2o/L/s, C=1～100mL/cmH2in the span of O, choose a part of R value, C value as anchor point;
(2) on each R, C value anchor point, carry out respectively pid control parameter adjusting, and record each R, C value and the corresponding relation that regulates the P parameter that obtains, I parameter, D parameter;
(3) according to the corresponding relation of each R, C value and the P parameter corresponding with it, I parameter, D parameter, according to principles of fuzzy mathematics, set up membership function, and be each domain stepping of membership function;
(4) according to stepping situation, formulate fuzzy rule and decision method, according to fuzzy rule and the decision method formulated, and membership function and domain stepping, write out respective mode fuzzy control algorithm;
(5), according to this FUZZY ALGORITHMS FOR CONTROL, to not being set as the corresponding P parameter of R, C value, I parameter, the D parameter of anchor point in R, C span, automatically calculate;
(6) utilize the pid parameter that calculates gained to carry out pressure feedback control to whole control pressurer system.
In said method, R value described in step (1), C value anchor point, be according to statistic algorithm, chooses R that in cartogram, probability of occurrence is maximum, C value as anchor point.
In said method, pid control parameter described in step (2) regulates, and is for every couple of R, C value, and P, I, the D parameter of carrying out in pressure Control PID algorithm regulate, until output pressure non-overshoot is recorded P, I, D parameter and corresponding R, C value now.
In said method, utilize FUZZY ALGORITHMS FOR CONTROL to carry out pid control parameter and automatically calculate in step (5), it calculates is constantly that each expiration state is to suction condition switching instant.
In said method, the feedback control cycle of in step (6), control pressurer system being carried out to pressure feedback control is any one fixed value in 1～10ms.
The present invention regulates respectively the pressure controling parameter in different R, C situation, by FUZZY ALGORITHMS FOR CONTROL, different R, pid parameter smooth connection corresponding to C value are got up, to realize, in various R, C value situation, can effectively reduce over control and hypoventilation phenomenon, the patient who efficiently solves in different R, C situation carries out rational pressure-vent problem, and the anesthetic machine and the respirator that can be used for low hardware cost are realized high performance pressure-vent control.
Accompanying drawing explanation
Fig. 1 is implementation procedure block diagram of the present invention.
The specific embodiment
As shown in Figure 1, control method of the present invention is as follows:
At R=1～100cmH2o/L/s, C=1～100mL/cmH2in the span of O, according to patient R, the C value Distribution Data of a large amount of collection statistics, choose N the R that probability of occurrence is the highest, C value as anchor point, N is greater than 10;
Adjust this N R, pid control parameter corresponding to C value;
According to the feature of this N R, the corresponding pid control parameter of C value, make corresponding FUZZY ALGORITHMS FOR CONTROL;
According to the FUZZY ALGORITHMS FOR CONTROL of making, other pid control parameter corresponding to R, C in calculating R, C span, and FUZZY ALGORITHMS FOR CONTROL is revised, to meet the needs of different R, C value;
Revise good rear control algolithm, utilize pressure transducer in anesthetic machine and respirator to carry out pressure feedback control to patient.
Specific implementation of the present invention is as follows:
Step 1, at R=1～100cmH2o/L/s, C=1～100mL/cmH2in the span of O, by statistic algorithm, different patients' R, C are distributed and added up, according to statistical result, determine R, C anchor point.Illustrate: by obtaining normal adult, normal child, normal neonate, the adult of pathological changes, patient's R, C value under the multiple different symptom such as neonate of the child of pathological changes, pathological changes, these R, C value are carried out to distribution statistics, calculate statistics collection of illustrative plates, according to statistics collection of illustrative plates, using the maximum R of probability of occurrence in cartogram, C value as anchor point.
Step 2, on each R, C anchor point, regulate respectively pid control parameter separately.Such as: at R=5, in C=50 situation, P, I in pressure Control PID algorithm, D parameter are regulated, until output pressure non-overshoot is recorded P, I, D parameter and R, C value now, according to said method other R, C value point are done to identical work.
Step 3, pid control parameter is separately analyzed, chosen the corresponding relation of P parameter, I parameter, D parameter and R, C value.Such as: according to the characteristic of adjusting each R out, pid parameter in C value situation in above-mentioned steps 2, to PID tri-parameters, the processing of classifying, finds incidence relation.
Step 4, three relations of controlling between parameters and R, C anchor point are set up to membership function according to principles of fuzzy mathematics.
Step 5, according to the membership function in fuzzy mathematics, be each domain stepping.
Step 6, according to stepping situation, formulate fuzzy rule and decision method.
Step 7, according to rule, decision-making, membership function and domain stepping, write out respective mode fuzzy control algorithm, to the corresponding P parameter of R, C value, I parameter, the D parameter that are not positioned in R, C span, automatically calculate, pid control parameter utilizes fuzzy mathematics to calculate constantly for each expiration state is to suction condition switching instant.
Step 8, utilize this pid parameter to carry out pressure feedback to whole control pressurer system control to control.The feedback control cycle is any one fixed value in 1～10ms, controls best results in scope between at this moment.