CN113342080A - Breathing module turbine variable speed control method of portable universal life support system - Google Patents
Breathing module turbine variable speed control method of portable universal life support system Download PDFInfo
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- CN113342080A CN113342080A CN202110682149.2A CN202110682149A CN113342080A CN 113342080 A CN113342080 A CN 113342080A CN 202110682149 A CN202110682149 A CN 202110682149A CN 113342080 A CN113342080 A CN 113342080A
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- 230000029058 respiratory gaseous exchange Effects 0.000 title claims abstract description 52
- 238000000034 method Methods 0.000 title claims abstract description 25
- 230000001133 acceleration Effects 0.000 claims description 11
- 238000013528 artificial neural network Methods 0.000 claims description 4
- 230000004044 response Effects 0.000 claims description 3
- 238000009423 ventilation Methods 0.000 abstract description 9
- 230000000694 effects Effects 0.000 abstract description 4
- 238000005399 mechanical ventilation Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- MYMOFIZGZYHOMD-UHFFFAOYSA-N Dioxygen Chemical compound O=O MYMOFIZGZYHOMD-UHFFFAOYSA-N 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 238000012938 design process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D13/00—Control of linear speed; Control of angular speed; Control of acceleration or deceleration, e.g. of a prime mover
- G05D13/62—Control of linear speed; Control of angular speed; Control of acceleration or deceleration, e.g. of a prime mover characterised by the use of electric means, e.g. use of a tachometric dynamo, use of a transducer converting an electric value into a displacement
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Abstract
The invention discloses a breathing module turbine variable speed control method of a portable universal life support system. According to the invention, the accelerometer is arranged in the breathing module, the vibration signal is extracted, the controller for actively reducing disturbance influence is designed according to the frequency domain characteristics of the vibration signal, the turbine rotating speed control, the flow rate control or the pressure control of the breathing module are compensated, the influence of the bumping of the breathing module on the ventilation of the breathing module can be inhibited, the smooth control of the turbine rotating speed can be ensured, the smooth control of the turbine flow rate or the pressure signal can be further ensured, and the breathing module can obtain good ventilation treatment effect even in a field environment.
Description
Technical Field
The invention relates to the technical field of turbine rotating speed control methods, in particular to a breathing module turbine variable speed control method of a portable universal life support system.
Background
The war field wounded personnel can carry out on-site first aid, transfer and later delivery to a hospital in the golden time, and the death rate of the wounded personnel can be effectively reduced. At present, various medical devices occupy a large amount of space in the process of treating and transferring the wounded on a large scale, and more patients cannot be treated. And the emergency equipment is large in volume, the oxygen supply time of the compressed oxygen cylinder is short, and the emergency equipment is dangerous. In the process of carrying out on-site first aid in a battlefield, the installation mode of the first aid equipment is complex and long in time. Therefore, the portable universal life support system integrates wounded personnel transportation and rescue implementation and has a high-level life support function. The breathing module is part of a portable universal life support system and is mainly used for supplying air for human breathing.
In the field transportation process, the condition that the rotational speed of the turbine is controlled unstably due to the bumping of the breathing module further causes the instability of the flow rate or pressure of mechanical ventilation, so that the comfort of the patient using the mechanical ventilation can be reduced, and even the treatment effect of the mechanical ventilation on the patient can be reduced.
Generally, the turbine of the breathing module is flexibly connected with the housing of the breathing module, and external disturbance is isolated from the turbine by a mechanical device, but the capacity of suppressing the disturbance is limited. In ventilation control, a flow rate or pressure control loop is arranged on the outer layer of the turbine rotating speed loop, the influence of unstable turbine rotating speed on ventilation control can be reduced through feedback control of the outer layer loop, but the influence of disturbance on ventilation cannot be timely counteracted due to time delay of sampling of flow rate or pressure signals.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a breathing module turbine variable speed control method of a portable universal life support system, so as to solve the problems of unstable rotation speed control caused by breathing module bumping and further unstable flow rate and pressure control caused by breathing module bumping, and to inhibit the influence of breathing module bumping on breathing module ventilation.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows.
A breathing module turbine variable speed control method of a portable universal life support system is characterized in that an accelerometer is installed in the breathing module, a disturbance signal influencing the control of turbine operation parameters from the outside is obtained through the accelerometer, and the control input of the turbine rotating speed is compensated according to the disturbance signal.
Further optimizing the technical scheme, the method specifically comprises the following steps:
s1, acquiring a rotation speed control model of the turbine;
s2, mounting an accelerometer inside the respiration module; extracting a signal reflecting the vibration degree of the breathing module body, and simultaneously recording a turbine rotating speed signal;
s3, establishing a disturbance channel model from the vibration signal to the turbine speed signal;
s4, designing a controller for actively reducing disturbance influence according to the frequency domain characteristics of the vibration signal;
s5, acquiring a one-dimensional vibration strength signal;
and S6, inputting the vibration strength signal to the controller for compensation.
In step S2, after the accelerometer is installed inside the breathing module, the turbine operates at a constant speed, the breathing module is used in a simulated field environment, a signal reflecting the vibration degree of the breathing module body is extracted from the acceleration signal, and a turbine rotation speed signal is recorded.
In step S4, the controller includes a main controller and a compensation controller.
And further optimizing the technical scheme, and designing a main controller playing a role of isolating the disturbance signal according to the frequency band of the vibration signal on the premise of ensuring the quick response of the system.
And further optimizing the technical scheme, and designing a compensation controller compensated according to disturbance according to the disturbance channel model.
In step S5, a method for reflecting the vibration intensity is extracted from the acceleration signal to obtain a one-dimensional vibration intensity signal.
The technical scheme is further optimized, the neural network is adopted, acceleration signals in the X axis direction, the Y axis direction and the Z axis direction are input into the learning model respectively, and one-dimensional vibration strength signals are obtained.
Due to the adoption of the technical scheme, the technical progress of the invention is as follows.
According to the invention, the accelerometer is arranged in the breathing module, the vibration signal is extracted, the controller for actively reducing disturbance influence is designed according to the frequency domain characteristics of the vibration signal, the turbine rotating speed control, the flow rate control or the pressure control of the breathing module are compensated, the influence of the bumping of the breathing module on the ventilation of the breathing module can be inhibited, the smooth control of the turbine rotating speed can be ensured, the smooth control of the turbine flow rate or the pressure signal can be further ensured, and the breathing module can obtain good ventilation treatment effect even in a field environment.
Drawings
FIG. 1 is a schematic diagram of vibration signal calculation according to the present invention;
FIG. 2 is a schematic diagram of vibration signal compensation according to the present invention.
Detailed Description
The invention will be described in further detail below with reference to the figures and specific examples.
A breathing module turbine variable speed control method of a portable universal life support system is characterized in that an accelerometer is installed in the breathing module in combination with the graphs shown in figures 1 to 2, disturbance signals influencing the control of turbine operation parameters from the outside are obtained through the accelerometer, the control input of the turbine rotating speed is compensated according to the disturbance signals, and the influence of the disturbance on the control of the turbine rotating speed is reduced. The turbine operating parameter includes turbine speed, flow rate, or pressure.
The invention specifically comprises the following steps:
and S1, acquiring a rotating speed control model of the turbine according to motor parameters provided by a turbine manufacturer or by adopting a system identification method.
And S2, mounting an accelerometer inside the respiration module.
After the accelerometer is installed inside the breathing module, the turbine operates at a constant speed, the breathing module is used in a simulated field environment, signals reflecting the vibration degree of the breathing module body are extracted from the acceleration signals, and meanwhile, the rotating speed signals of the turbine are recorded.
And S3, establishing a disturbance channel model from the vibration signal to the turbine speed signal by adopting system identification.
And S4, designing a controller for actively reducing the disturbance influence according to the frequency domain characteristics of the vibration signal, wherein the controller comprises a main controller and a compensation controller.
Before the controller is designed, a rotation speed control model and a disturbance channel model of the turbine are obtained. In the design process of the main controller for controlling the rotating speed, on the premise of ensuring the quick response of the system, the main controller can play a role in isolating the disturbance signal according to the frequency band of the vibration signal.
Meanwhile, a compensation controller compensated according to the disturbance can be designed according to the disturbance channel model.
The main controller and the compensation controller are designed pertinently according to vibration signals or disturbance channel models, and the influence of vibration on the rotating speed of the turbine can be greatly reduced.
And S5, extracting a method for reflecting vibration strength from the acceleration signal, and acquiring a one-dimensional vibration strength signal.
In step S5, a neural network may be used to input acceleration signals in three directions, i.e., the X axis, the Y axis, and the Z axis, to the learning model, so as to obtain a one-dimensional vibration intensity signal. The vibration signal calculation method is not limited to the neural network, and other methods can be adopted to convert the three-dimensional signal into the one-dimensional signal, and the modulus of the synthetic vector of the acceleration in three directions can be simply adopted.
S6 and S1-S5 are off-line designs, and when the breathing module operates on line, signals which are extracted from the acceleration signals and reflect the vibration strength are input to the compensation controller for compensation.
According to the invention, the accelerometer is arranged in the breathing module, the vibration signal is extracted, and the controller for actively reducing disturbance influence is designed according to the frequency domain characteristics of the vibration signal, so that the stable control of the rotating speed of the turbine can be ensured, and further the stable control of the flow speed or pressure signal of the turbine can be ensured, and the breathing module can obtain a good ventilation treatment effect even in a field environment.
Claims (8)
1. The method for controlling the variable speed of the turbine of the breathing module of the portable universal life support system is characterized in that an accelerometer is installed in the breathing module, a disturbance signal which influences the control of the operating parameters of the turbine from the outside is obtained through the accelerometer, and the control input of the rotating speed of the turbine is compensated according to the disturbance signal.
2. The breathing module turbine variable speed control method of a portable universal life support system according to claim 1, comprising the steps of:
s1, acquiring a rotation speed control model of the turbine;
s2, mounting an accelerometer inside the respiration module; extracting a signal reflecting the vibration degree of the breathing module body, and simultaneously recording a turbine rotating speed signal;
s3, establishing a disturbance channel model from the vibration signal to the turbine speed signal;
s4, designing a controller for actively reducing disturbance influence according to the frequency domain characteristics of the vibration signal;
s5, acquiring a one-dimensional vibration strength signal;
and S6, inputting the vibration strength signal to the controller for compensation.
3. The method for controlling the turbine speed variation of the breathing module of the portable universal life support system according to claim 2, wherein in step S2, after the accelerometer is installed inside the breathing module, the turbine operates at a constant speed, and the breathing module is used in a field environment, and the signal reflecting the vibration degree of the breathing module body is extracted from the acceleration signal, and the turbine speed signal is recorded.
4. The breathing module turbo variable speed control method of portable universal life support system according to claim 2, wherein in step S4, the controller comprises a main controller and a compensation controller.
5. The method as claimed in claim 4, wherein the main controller is designed to isolate the disturbance signal according to the frequency band of the vibration signal while ensuring fast response of the system.
6. The breathing module turbo variable speed control method of portable universal life support system according to claim 4, wherein the compensation controller compensated for disturbances is designed based on a disturbance channel model.
7. The method for controlling turbo speed of a breathing module of a portable universal life support system according to claim 2, wherein in step S5, a one-dimensional vibration intensity signal is obtained by extracting a method for reflecting vibration intensity from the acceleration signal.
8. The method as claimed in claim 7, wherein the neural network is used to input acceleration signals in three directions, namely X-axis, Y-axis and Z-axis, to the learning model to obtain one-dimensional vibration intensity signals.
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