CN102397607A - Method for adjusting pressure of anesthesia machine and breathing machine through flow and pressure common control - Google Patents
Method for adjusting pressure of anesthesia machine and breathing machine through flow and pressure common control Download PDFInfo
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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
The present invention relates to a kind of high-performance, high-precision pressure control ventilating mode that is used to realize anesthetic machine and respirator, belong to armarium manufacturing technology field.
Background technology
In anesthetic machine and respirator control, need carry out pressure controlled ventilation to some especial patient.The compress control method of knowing at present has two kinds:
Adopt pressure P ID control directly the patient to be carried out pressure control, this kind method advantage is that algorithm is realized simple, is using the PID pressure control that is realized under the high-performance processor situation to can be used for most special pathological changes patients.Shortcoming is, and is different for himself R, C value of the patient of different lesions, utilizes that traditional pressure controling mode is simple controls the pressure variation that can't adapt to well various R, C under according to the pressure that monitors to whole system; Hypoventilation or over control appear easily; Patient is produced serious harm, and will realize high performance of control, be suitable for more R, C value patient; Need to adopt high performance processor to carry out real-time control treatment, hardware cost is high.
Utilize fuzzy control technology, adopts pressure sensor carries out pressure P ID control.Advantage is, and is different for himself R, C value of the patient of different lesions, utilize the pressure fuzzy control method to solve since patient R, the variation of C value to the influence of whole pid control parameter.Shortcoming is, what are bigger to the influence of control algolithm for the domain gear in design process in the fuzzy control rule and the membership of membership function, and the overstocked control algolithm of gear and membership is long computation time; Needing can Rapid Realization with expensive DSP; Gear and membership are thin excessively, and rule degree of comprising is not enough, and the controlling value that has under some R, the C value does not cover; Cause occurring in the venting process over control; Especially in particular cases reforming phenomena can occur extremely individually, can increase the weight of patient's under these special R, the C value situation ventilation burden, cause complication.
Summary of the invention
The objective of the invention is to for promoting pressure fuzzy control ventilation safety in anesthetic machine and the respirator; Reduce because expensive under the DSP control situation; Propose a kind ofly on original pressure fuzzy control basis, to carry out improved control method, utilize flow velocity and pressure to control jointly, can reduce hardware cost; Promote the control reliability, wider to patient's R, C value subject range.
Technical scheme of the present invention is following:
Anesthetic machine, respirator pressure regulating method through flow and the common control of pressure is characterized in that, may further comprise the steps:
(1), in the span of C=1～100mL/cmH2O, chooses a part of R value, C value as anchor point at R=1～100cmH2O/L/s;
(2) on each R, C value anchor point, carry out pid control parameter respectively and regulate, and write down the corresponding relation of each R, C value and the P parameter of regulating acquisition, I parameter, D parameter;
(3) according to the corresponding relation of each R, C value and the P parameter corresponding, I parameter, D parameter, set up membership function according to principles of fuzzy mathematics, and be each domain stepping of membership function with it;
(4) formulate fuzzy rule and decision method according to the stepping situation, according to fuzzy rule and the decision method formulated, and membership function and domain stepping, write out the respective mode fuzzy control algorithm;
(5),, calculate automatically not being set as the pairing P parameter of R, C value, I parameter, the D parameter of anchor point in R, the C span according to this FUZZY ALGORITHMS FOR CONTROL;
(6) utilize the pid parameter that calculates gained that whole control pressurer system is carried out pressure feedback control, and the monitoring present flow rate;
(7) under above-mentioned pressure control mode, utilize formula P=F*R, calculate the force value under the present flow rate, wherein P is a pressure, and F is the present flow rate flow, and R is a vapour lock;
(8) utilize the Kalman algorithm for estimating, in algorithm, add, next moment pressure of current pressure value is estimated because of the subitem of control parameter to whole estimation result influence;
(9) the force value substitution error system that estimates is calculated the departure amount, it is carried out PID control, converting out next needs controlled pressure constantly;
(10) utilize formula P=F*R, the controlled pressure conversion is standard control flow;
(11) will convert in the good control flow input flow rate PID proportional controller, carry out flow feedback control.
In the said method, R value described in the step (1), C value anchor point are according to statistic algorithm, choose probability of occurrence is maximum in the cartogram R, C value as anchor point.
In the said method; Pid control parameter described in the step (2) is regulated, and is for each R, C value, and P, I, the D parameter of carrying out in the pressure control pid algorithm are regulated; Till the output pressure non-overshoot, note P, I, D parameter and corresponding R, the C value of this moment.
In the said method, utilize FUZZY ALGORITHMS FOR CONTROL to carry out pid control parameter in the step (5) and calculate automatically, its calculation time is that each expiration state is to the suction condition switching instant.
In the said method, the pressure feedback control described in the step (5), its feedback control cycle is any one fixed value in 1～10ms.
In the said method, the flow feedback control described in the step (11), its feedback control cycle is any one fixed value in 1～10ms.
The present invention utilizes flow velocity and pressure to control jointly; Traditional pressure FUZZY ALGORITHMS FOR CONTROL R, C adaptation blind spot problem have been solved; Through pressure fuzzy control ventilation is improved, utilize R, C value and classical formulas to combine, solved automatic adjusting because of the extremely indivedual special control parameters under the relatively thinner situation of gear and membership; And in control algolithm, added the recurrence of control parameter and monitoring parameter has been estimated, in order to solve the overshoot problem.
Description of drawings
Fig. 1 is an implementation procedure block diagram of the present invention.
The specific embodiment
As shown in Figure 1, control method of the present invention is following:
At R=1～100cmH2O/L/s, in the span of C=1～100mL/cmH2O,, choose N the R that probability of occurrence is the highest, C value as anchor point according to patient R, the C value distribution data of a large amount of statistics collections, N is greater than 10;
Adjust this N R, the corresponding pid control parameter of C value;
According to the characteristic of this N R, the pairing pid control parameter of C value, make corresponding FUZZY ALGORITHMS FOR CONTROL;
According to the FUZZY ALGORITHMS FOR CONTROL of making, calculate in R, the C span other R, the pid control parameter that C is corresponding, and FUZZY ALGORITHMS FOR CONTROL is revised, to satisfy the needs of different R, C value;
Revise good back control algolithm, utilize in anesthetic machine and the respirator pressure transducer and flow transducer to work in coordination with the patient is carried out pressure feedback and control.
Concrete performing step is following:
Step 1, at R=1～100cmH2O/L/s, in the span of C=1～100mL/cmH2O,, different patients' R, C distributed add up through statistic algorithm, confirm R, C anchor point according to statistical result.Illustrate: patient's R, C value under the multiple different symptom such as neonate of the adult through obtaining normal adult, normal child, normal neonate, pathological changes, the child of pathological changes, pathological changes; These R, C value are carried out distribution statistics; Calculate the statistics collection of illustrative plates; According to the statistics collection of illustrative plates, the R that probability of occurrence in the cartogram is maximum, C value are as anchor point.
Step 2, on each R, C anchor point, regulate pid control parameter separately respectively.Such as: at R=5, under the C=50 situation, P, I, D parameter in the pressure control pid algorithm are regulated, till the output pressure non-overshoot, note P, I, D parameter and R, the C value of this moment, according to said method other R, C value point are done 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: the characteristic of each R that comes out according to adjustment in the above-mentioned steps 2, the pid parameter under the C value situation, to PID three parameters, carry out classification processing, find incidence relation.
Step 4, the relation between three controls parameters and R, the C anchor point is set up membership function according to principles of fuzzy mathematics.
Step 5, be each domain stepping according to the membership function in the fuzzy mathematics.
Step 6, formulate fuzzy rule and decision method according to the stepping situation.
Step 7, write out the respective mode fuzzy control algorithm according to rule, decision-making, membership function and domain stepping; To the pairing P parameter of R, C value, I parameter, the D parameter that is not positioned in R, the C span; Automatically calculate, it is that each expiration state is to the suction condition switching instant that pid control parameter utilizes the fuzzy mathematics calculation time.
Step 8, utilize this pid parameter that whole control pressurer system is carried out pressure feedback control control.The feedback control cycle is any one fixed value in 1～10ms.
Step 9, under above-mentioned pressure control mode, utilize formula P=F*R, calculate the force value under the present flow rate, wherein P is a pressure, F is the present flow rate flow, R is a vapour lock;
Step 10, utilize the Kalman algorithm for estimating, in algorithm, add because of the subitem of control parameter to whole estimation result influence, to the current pressure value next constantly pressure estimate;
Step 11, the force value substitution error system that estimates is calculated the departure amount, it is carried out PID control, converting out next needs controlled pressure constantly;
Step 12, utilize formula P=F*R, the controlled pressure conversion is controlled flow for standard;
Step 13, will convert in the good control flow input flow rate PID proportional controller, carry out flow feedback control.The feedback control cycle is any one fixed value in 1～10ms, at this moment between scope inner control best results.
Claims (6)
1. through anesthetic machine, the respirator pressure regulating method of flow and the common control of pressure, it is characterized in that, may further comprise the steps:
(1), in the span of C=1～100mL/cmH2O, chooses a part of R value, C value as anchor point at R=1～100cmH2O/L/s;
(2) on each R, C value anchor point, carry out pid control parameter respectively and regulate, and write down the corresponding relation of each R, C value and the P parameter of regulating acquisition, I parameter, D parameter;
(3) according to the corresponding relation of each R, C value and the P parameter corresponding, I parameter, D parameter, set up membership function according to principles of fuzzy mathematics, and be each domain stepping of membership function with it;
(4) formulate fuzzy rule and decision method according to the stepping situation, according to fuzzy rule and the decision method formulated, and membership function and domain stepping, write out the respective mode fuzzy control algorithm;
(5),, calculate automatically not being set as the pairing P parameter of R, C value, I parameter, the D parameter of anchor point in R, the C span according to this FUZZY ALGORITHMS FOR CONTROL;
(6) utilize the pid parameter that calculates gained that whole control pressurer system is carried out pressure feedback control, and the monitoring present flow rate;
(7) under above-mentioned pressure control mode, utilize formula P=F*R, calculate the force value under the present flow rate, wherein P is a pressure, and F is the present flow rate flow, and R is a vapour lock;
(8) utilize the Kalman algorithm for estimating, in algorithm, add, next moment pressure of current pressure value is estimated because of the subitem of control parameter to whole estimation result influence;
(9) the force value substitution error system that estimates is calculated the departure amount, it is carried out PID control, converting out next needs controlled pressure constantly;
(10) utilize formula P=F*R, the controlled pressure conversion is standard control flow;
(11) will convert in the good control flow input flow rate PID proportional controller, carry out flow feedback control.
2. method according to claim 1 is characterized in that: R value described in the step (1), C value anchor point are according to statistic algorithm, choose probability of occurrence is maximum in the cartogram R, C value as anchor point.
3. method according to claim 1; It is characterized in that: the pid control parameter described in the step (2) is regulated; Be for each R, C value; P, I, the D parameter of carrying out in the pressure control pid algorithm are regulated, and till the output pressure non-overshoot, note P, I, D parameter and corresponding R, the C value of this moment.
4. method according to claim 1 is characterized in that: utilize FUZZY ALGORITHMS FOR CONTROL to carry out pid control parameter in the step (5) and calculate automatically, its calculation time is that each expiration state is to the suction condition switching instant.
5. method according to claim 1 is characterized in that: the pressure feedback control described in the step (5), its feedback control cycle is any one fixed value in 1～10ms.
6. method according to claim 1 is characterized in that: the flow feedback control described in the step (11), its feedback control cycle is any one fixed value in 1～10ms.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103736184A (en) * | 2013-12-13 | 2014-04-23 | 科迈（常州）电子有限公司 | Domestic breathing machine flow sensor error correction method |
| CN105183024A (en) * | 2015-10-09 | 2015-12-23 | 航宇救生装备有限公司 | Flow-pressure double close loop gas pressure control method and device |
| CN105334875A (en) * | 2014-08-08 | 2016-02-17 | 北京谊安医疗系统股份有限公司 | Method and device for adjusting flow of flowmeter of anesthesia machine |
| CN106345020A (en) * | 2015-07-15 | 2017-01-25 | 北京谊安医疗系统股份有限公司 | Control method for pressure control of capacity mode in breathing machine |
| WO2017113546A1 (en) * | 2015-12-29 | 2017-07-06 | 北京谊安医疗系统股份有限公司 | Fuzzy adaptive pid control-based capacity control method of anesthesia machine |
| CN109621114A (en) * | 2018-12-17 | 2019-04-16 | 湖南城市学院 | A kind of mechanical ventilation mode, pressure control method |
| WO2020118871A1 (en) * | 2018-12-10 | 2020-06-18 | 深圳市科曼医疗设备有限公司 | Adaptive pressure and oxygen concentration control method |
| WO2023024475A1 (en) * | 2021-08-26 | 2023-03-02 | 深圳市安保科技有限公司 | Control method and control device for turbine motor and ventilator |
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| CN101337101A (en) * | 2007-07-06 | 2009-01-07 | 深圳迈瑞生物医疗电子股份有限公司 | Aerating system of anesthesia apparatus and respirator and pressure monitoring method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103736184A (en) * | 2013-12-13 | 2014-04-23 | 科迈（常州）电子有限公司 | Domestic breathing machine flow sensor error correction method |
| CN103736184B (en) * | 2013-12-13 | 2016-01-13 | 科迈（常州）电子有限公司 | A kind of home ventilator flow transducer error correction method |
| CN105334875B (en) * | 2014-08-08 | 2018-07-20 | 北京谊安医疗系统股份有限公司 | A kind of method and device adjusting anesthesia machine flow meter flow |
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| CN106345020B (en) * | 2015-07-15 | 2019-05-17 | 北京谊安医疗系统股份有限公司 | The control method of pressure control capability mode in a kind of ventilator |
| CN106345020A (en) * | 2015-07-15 | 2017-01-25 | 北京谊安医疗系统股份有限公司 | Control method for pressure control of capacity mode in breathing machine |
| CN105183024A (en) * | 2015-10-09 | 2015-12-23 | 航宇救生装备有限公司 | Flow-pressure double close loop gas pressure control method and device |
| WO2017113546A1 (en) * | 2015-12-29 | 2017-07-06 | 北京谊安医疗系统股份有限公司 | Fuzzy adaptive pid control-based capacity control method of anesthesia machine |
| CN106924851A (en) * | 2015-12-29 | 2017-07-07 | 北京谊安医疗系统股份有限公司 | Anesthesia machine capacity control method based on Fuzzy Adaptive PID Control |
| EA039070B1 (en) * | 2015-12-29 | 2021-11-30 | Бейджин Аеонмед Ко., Лтд. | Fuzzy adaptive pid control-based capacity control method of anesthesia machine |
| WO2020118871A1 (en) * | 2018-12-10 | 2020-06-18 | 深圳市科曼医疗设备有限公司 | Adaptive pressure and oxygen concentration control method |
| CN109621114A (en) * | 2018-12-17 | 2019-04-16 | 湖南城市学院 | A kind of mechanical ventilation mode, pressure control method |
| WO2023024475A1 (en) * | 2021-08-26 | 2023-03-02 | 深圳市安保科技有限公司 | Control method and control device for turbine motor and ventilator |
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