A kind of self-adapting type anesthesia respirator pressure regulating methodTechnical field
The present invention provides a kind of high-performance for being used to implement Anesthesia machine and lung ventilator, high-precision pressure control ventilation sidesFormula belongs to Medical Devices manufacturing technology field.
Background technology
It needs to carry out pressure controlled ventilation to some especial patients in Anesthesia machine and lung ventilator control.Traditional approach usesPressure PID control directly carries out pressure control to patient, and such method advantage is that algorithm is realized simply, is being used at high-performanceThe PID pressure control realized in the case of reason device can be used for most special lesion patients.Shortcoming is, for different lesionsPatient its own R, C value it is different, using traditional pressure controling mode merely according to the pressure monitored to whole system intoRow control can not be well adapted for the pressure change under various R, C, be susceptible to hypoventilation or over control, and patient is generatedSeriously endanger, and to realize high performance control, be applicable in more R, C value patients, it is necessary to using high performance processor intoThe real-time control process of row, hardware cost are high.
The content of the invention
It is an object of the invention in order in Anesthesia machine and lung ventilator effectively to the patient of different R, C intoThe rational pressure-vent of row, it is proposed that a kind of self-adapting type anesthesia respirator pressure regulating method, suitable for different R values C valuesAnesthesia machine, lung ventilator pressure control to adjust.
Technical scheme is as follows：
A kind of self-adapting type anesthesia respirator pressure regulating method, it is characterised in that：
(1) in R=1~100cmH2O/L/s, the value range of C=1~100mL/cmH2O, a part of R values, C are chosenValue is as anchor point；The R values, C value anchor points are according to statistic algorithm, choose R, C value that probability of occurrence is most in statistical chartAs anchor point；
(2) pid control parameter adjusting is carried out respectively on each R, C value anchor point, and record each R, C value and adjusting obtainsP parameters, I parameters, the correspondence of D parameters；The pid control parameter is adjusted, and is for each R, C value, is pressedP, I, D parameter in power Control PID algorithm is adjusted, and until output pressure non-overshoot, records P, I, D ginseng at this timeNumber and corresponding R, C value；
(3) according to each R, C value and corresponding P parameters, I parameters, D parameters correspondence, according to fuzzy mathematicsPrinciple establishes membership function, and is each domain stepping of membership function；
(4) fuzzy rule and decision-making technique are formulated according to stepping situation, according to the fuzzy rule of formulation and decision-making technique andMembership function and domain stepping, write out corresponding FUZZY ALGORITHMS FOR CONTROL；
(5) according to the FUZZY ALGORITHMS FOR CONTROL, join to being not set at the P corresponding to R, C value of anchor point in R, C value rangeNumber, I parameters, D parameters, are calculated automatically, calculate the moment as each expiration state to suction condition switching instant；To pressure controlThe feedback control cycle that system progress pressure feedback processed controls is any one fixed value in 1~10ms；
(6) pressure feedback control is carried out to entire control pressurer system using the pid parameter for calculating gained.
The pressure controling parameter in the case of different R, C is adjusted in the present invention respectively, will not by FUZZY ALGORITHMS FOR CONTROLThe same corresponding pid parameter of R, C value is smoothly connected, to realize that can effectively reduce overshoot in various R, C values showsAs with hypoventilation phenomenon, efficiently solve the problems, such as that the patient in the case of different R, C carries out rational pressure-vent, available for lowThe Anesthesia machine and lung ventilator of hardware cost realize high performance pressure-vent control.
Description of the drawings
Fig. 1 is the realization procedural block diagram of the present invention.
Specific embodiment
As shown in Figure 1, the control method of the present invention is as follows：
In R=1~100cmH2O/L/s, the value range of C=1~100mL/cmH2O, collect what is counted according to a large amount ofPatient's R, C Distribution value data chooses highest R, C value of N number of probability of occurrence as anchor point, and N is more than 10；
Adjust out the corresponding pid control parameter of this N number of R, C value；
According to the feature of the corresponding pid control parameter of this N number of R, C value, corresponding FUZZY ALGORITHMS FOR CONTROL is made；
According to the FUZZY ALGORITHMS FOR CONTROL made, the corresponding pid control parameter of others R, C in R, C value range is calculated,And FUZZY ALGORITHMS FOR CONTROL is modified, to meet the needs of different R, C values；
Good rear control algolithm is corrected, pressure feedback control is carried out to patient using pressure sensor in Anesthesia machine and lung ventilatorSystem.
Specific implementation of the present invention is as follows：
Step 1, in R=1~100cmH2O/L/s, the value range of C=1~100mL/cmH2O, pass through count calculateMethod counts R, C distribution of different patients, R, C anchor point is determined according to statistical result.It illustrates：By obtaining justIt is normal be grown up, normal children, normal newborn, the adult of lesion, the children of lesion, a variety of differences such as newborn of lesionR, C value of patient under symptom carries out distribution statistics to these R, C values, calculates statistics collection of illustrative plates, according to statistics collection of illustrative plates, will countMost R, C value of probability of occurrence is as anchor point in figure.
Step 2 adjusts respective pid control parameter respectively on each R, C anchor point.Such as：In R=5, C=50 feelingsUnder condition, P, I, D parameter in pressure Control PID algorithm are adjusted, until output pressure non-overshoot, recorded at this timeP, I, D parameter and R, C value, identical work according to said method is made to other R, C value points.
Step 3 analyzes respective pid control parameter, and it is corresponding with R, C value to choose P parameters, I parameters, D parametersRelation.Such as：According to the characteristic of the pid parameter in the case of each R, C value for adjusting out in above-mentioned steps 2, PID tri- is joinedNumber, carries out classification processing, finds incidence relation.
Step 4 is subordinate to letter to the relation between three control parameters and R, C anchor point according to principles of fuzzy mathematics foundationNumber.
Step 5, the membership function in fuzzy mathematics are each domain stepping.
Step 6 formulates fuzzy rule and decision-making technique according to stepping situation.
Step 7 writes out corresponding FUZZY ALGORITHMS FOR CONTROL according to rule, decision-making, membership function and domain stepping, and R, C are takenThe P parameters corresponding to R, C value, I parameters, the D parameters not being positioned in the range of value, are calculated automatically, pid control parameter profitThe moment is calculated as each expiration state to suction condition switching instant with fuzzy mathematics.
Step 8 carries out entire control pressurer system using this pid parameter pressure feedback control control.Feedback control weekPhase is any one fixed value in 1~10ms, and control effect is optimal in the range of this time.