CN106769812A - A kind of flow cytometer laminar flow control system and control method - Google Patents
A kind of flow cytometer laminar flow control system and control method Download PDFInfo
- Publication number
- CN106769812A CN106769812A CN201710180299.7A CN201710180299A CN106769812A CN 106769812 A CN106769812 A CN 106769812A CN 201710180299 A CN201710180299 A CN 201710180299A CN 106769812 A CN106769812 A CN 106769812A
- Authority
- CN
- China
- Prior art keywords
- control
- parameter
- fuzzy
- air pressure
- proportioning valve
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Electro-optical investigation, e.g. flow cytometers
- G01N15/1404—Fluid conditioning in flow cytometers, e.g. flow cells; Supply; Control of flow
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Electro-optical investigation, e.g. flow cytometers
- G01N15/1425—Electro-optical investigation, e.g. flow cytometers using an analyser being characterised by its control arrangement
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
- G05B13/0275—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using fuzzy logic only
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D16/00—Control of fluid pressure
- G05D16/20—Control of fluid pressure characterised by the use of electric means
- G05D16/2006—Control of fluid pressure characterised by the use of electric means with direct action of electric energy on controlling means
- G05D16/2013—Control of fluid pressure characterised by the use of electric means with direct action of electric energy on controlling means using throttling means as controlling means
- G05D16/2026—Control of fluid pressure characterised by the use of electric means with direct action of electric energy on controlling means using throttling means as controlling means with a plurality of throttling means
- G05D16/204—Control of fluid pressure characterised by the use of electric means with direct action of electric energy on controlling means using throttling means as controlling means with a plurality of throttling means the plurality of throttling means being arranged in parallel
Abstract
The present invention provides a kind of flow cytometer laminar flow control method, and the control method includes：A) setup parameter is input into the first control signal, controls the first air pressure proportioning valve to pressurize sample cell by the setup parameter；B) first pressure sensor collection sample hydraulic coupling, the first feedback parameter is converted to by the first signal processor；C) the first feedback parameter is divided into regulation parameter and control parameter two-way, and the regulation parameter is adjusted to the first precise control amount with setup parameter by the first fuzzy controller；D) control parameter input is input to the second control signal by calculating ratio module, controls the second air pressure proportioning valve to pressurize sheath liquid pool by control parameter；E) second pressure sensor collection sheath hydraulic coupling, the second feedback parameter is converted to by secondary signal processor；F) the second feedback parameter is adjusted to the second precise control amount with control parameter by the second fuzzy controller, and the present invention can realize regulation and pressure stability output.
Description
Technical field
The present invention relates to technical field of medical instruments, more particularly to a kind of flow cytometer laminar flow control system and controlling party
Method.
Background technology
Flow cytometer is that one kind carries out quantitative and qualitative analysis to unicellular and particulate and divides based on flow cytometry principle
The full-automatic Medical Instruments of choosing.Liquid fluid system as flow cytometer basic system, will contain by the cell of fluorescent staining or
The sample liquid of microparticle, according to certain pressure ratio injection flow chamber, is made carefully with the sheath fluid as buffer solution using liquid stream focusing principle
Born of the same parents or microparticle pass sequentially through flow chamber detection zone under laminar condition.The inlet pressure stabilization ratio of control sample liquid and sheath fluid
It is the guarantee of premise and the follow-up signal detection that laminar flow is formed in miniature flow chamber, is also one of whole instrument core technology.
At present, flow cytometer liquid fluid system is mainly externally empty gas using traditional PID control algorithm by application valve body
The power source such as pressure and vacuum voltage supply is controlled, and functional realiey is set up on the basis of effective, relatively accurate system model,
Solve the security and quick sex chromosome mosaicism of voltage supply.But liquid fluid system is but a time-varying, delayed, nonlinear system
System, and there are random disturbances to liquid fluid system in the voltage supply of pneumatic supply high speed, and feedback regulation parameter acquiring is delayed, it is necessary to reach for a long time
To stabilization, an accurate, dynamic Mathematical Modeling difficulty is set up.It is high that current solution focuses primarily upon research and development
The electric Proportion valve of performance, studies influence of each physical parameter to pneumatic valve performance, realizes the maximization of performance, but correlation theory
Studies in China is not enough, in development and costly.In conventional flow cytometer liquid fluid system, sample liquid and two masters of sheath fluid
Fluid path is independently controlled, and the width for forming laminar flow is fixed, but sample liquid inlet pressure and sheath fluid inlet pressure correlation and same
Step property is low, it is impossible to changes inlet pressure during particle diameter size variation in sample liquid and obtains suitable laminar flow width.
Accordingly, it would be desirable to one kind introduces feedback in the controls, pressure closed loop and host-guest architecture are set up, adjusted in real time
Save, realize the flow cytometer laminar flow control system and control method of pressure stability output.
The content of the invention
One aspect of the present invention is to provide a kind of flow cytometer laminar flow control system, and the control system includes the
One control signal, secondary signal control signal and flow chamber, wherein
First control signal includes the first fuzzy controller, the first air pressure proportioning valve, first pressure sensing
Device, the first signal processor and sample liquid pool；Second control signal includes the second fuzzy controller, the second air pressure
Proportioning valve, second pressure sensor, secondary signal processor and sheath liquid pool；
The sample liquid pool is connected with the flow chamber, the first air pressure proportional valve control sample liquid is flowed into the stream
The sample liquid pressure feedback is given first fuzzy-adaptation PID control by the sample hydraulic coupling of dynamic room, the first pressure sensor
Device；
The sheath liquid pool is connected with the flow chamber, the second air pressure proportional valve control sheath fluid is flowed into the flow chamber
Sheath hydraulic coupling, the second pressure sensor by the sheath fluid pressure feedback give second fuzzy controller；
Calculating ratio module is provided between first control signal and second control signal, for passing through
First signal processor is by the sample liquid pressure transmission to second fuzzy controller.
Preferably, the first A/D converter is passed through between first fuzzy controller and the first air pressure proportioning valve
It is connected with the first amplifier.
Preferably, the second A/D converter is passed through between second fuzzy controller and the second air pressure proportioning valve
It is connected with the second amplifier.
Preferably, the first air pressure proportioning valve connects the first air pump, and the second air pressure proportioning valve connects the second air pump.
Another invention of the invention is to provide a kind of flow cytometer laminar flow control method, the control method bag
Include：
A) setup parameter is input into the first control signal, the first air pressure proportioning valve is controlled to sample by the setup parameter
Pressurize in pond；
B) first pressure sensor collection sample hydraulic coupling, the first feedback parameter is converted to by the first signal processor；
C) first feedback parameter is divided into regulation parameter and control parameter two-way, the regulation parameter and the setting ginseng
Number is adjusted to the first precise control amount by the first fuzzy controller；
D) control parameter is input to the second control signal by calculating ratio module, by control parameter control the
Two air pressure proportioning valves pressurize to sheath liquid pool；
E) second pressure sensor collection sheath hydraulic coupling, the second feedback parameter is converted to by secondary signal processor；
F) second feedback parameter is adjusted to the second accurate control with the control parameter by the second fuzzy controller
Amount processed.
Preferably, the control method of the first fuzzy controller includes in the step c)：
C1) regulation parameter and the setup parameter by it is discrete compare obtain deviation e and deviation variation rate ec；
C2) by the deviation e and deviation variation rate ecIt is converted into fuzzy-adaptation PID control amount Δ Kp、ΔKd、ΔKi；
C3) to the fuzzy-adaptation PID control amount Δ Kp、ΔKd、ΔKiDe-fuzzy is carried out, and it is precise control amount K to adjustp、
Kd、Ki。
Preferably, the control method of the second fuzzy controller includes in the step f)：
F1) second feedback parameter and the control parameter by it is discrete compare obtain deviation e ' and deviation variation rate
ec’；
F2) by the deviation e ' and deviation variation rate ec' it is converted into fuzzy-adaptation PID control amount Δ Kp’、ΔKd’、ΔKi’；
F3) to the fuzzy-adaptation PID control amount Δ Kp’、ΔKd’、ΔKi' de-fuzzy is carried out, and it is precise control amount to adjust
Kp’、Kd’、Ki’。
Preferably, the deviation e and deviation variation rate ecIt is converted into fuzzy-adaptation PID control amount Δ Kp、ΔKd、ΔKi, select mould
Paste subset is [NB, NM, NS, Z0, PS, PM, PB], corresponding linguistic variable for it is negative big, in bearing, bear it is small, zero, just small, center,
It is honest }.
Preferably, the deviation e ' and deviation variation rate ec' it is converted into fuzzy-adaptation PID control amount Δ Kp’、ΔKd’、ΔKi',
Selected fuzzy subset is [NB, NM, NS, Z0, PS, PM, PB], corresponding linguistic variable for it is negative big, in bearing, bear it is small, zero, it is just small,
Center, honest.
Preferably, setup parameter is converted into voltage and by the first amplifier by voltage by an A/D in the step a)
The first air pressure proportioning valve is controlled to pressurize sample cell after amplification；Control parameter is changed by the 2nd A/D in the step d)
Into voltage and by the second amplifier the second air pressure proportioning valve will be controlled to pressurize sheath liquid pool after voltage amplification.
Flow cytometer laminar flow control system and control method that the present invention is provided, fuzzy-adaptation PID control and sample liquid, sheath fluid
Master ＆ slave control structure be combined and carry out parameter self-tuning, reduction algorithm increases to the dependence of control system mathematical models
The synchronism of strong fluid path output, realizes real-time regulation and pressure stability output.
It should be appreciated that foregoing description substantially and follow-up description in detail are exemplary illustration and explanation, should not
As the limitation to claimed content of the invention.
Brief description of the drawings
With reference to the accompanying drawing enclosed, the present invention more purpose, function and advantages are by by the as follows of embodiment of the present invention
Description is illustrated, wherein：
Fig. 1 diagrammatically illustrates the structure chart of flow cytometer control system of the present invention；
Fig. 2 shows the Controlling model schematic diagram of the first fuzzy controller of the invention；
Fig. 3 a show traditional PID control method pressure output schematic diagram；
Fig. 3 b show control method pressure output schematic diagram of the present invention；
Fig. 4 a show traditional PID control method response speed schematic diagram；
Fig. 4 b show control method response speed schematic diagram of the present invention；
Fig. 5 shows present invention synchronous error comparison diagram compared with traditional PID control method.
Specific embodiment
By reference to one exemplary embodiment, the purpose of the present invention and function and the side for realizing these purposes and function
Method will be illustrated.However, the present invention is not limited to one exemplary embodiment as disclosed below；Can by multi-form come
It is realized.The essence of specification is only to aid in various equivalent modifications Integrated Understanding detail of the invention.
Hereinafter, embodiments of the invention will be described with reference to the drawings.In the accompanying drawings, identical reference represents identical
Or similar part, or same or like step, unless otherwise indicated.
Detailed explaination is carried out to present disclosure with reference to specific embodiment, the phase being related in embodiment
It should be that those skilled in the art are to understand to close term, unless given specific definition in embodiment.In order to this
The content of invention can clearly be illustrated, a kind of flow cytometer laminar flow control system provided by the present invention is entered first
Row explanation.The structure chart of flow cytometer control system of the present invention as shown in Figure 1, a kind of flow cytometer laminar flow control system,
Including the first control signal, secondary signal control signal and flow chamber 118, wherein the first control signal includes the first mould
Paste PID controller 101, the first air pressure proportioning valve 104, first pressure sensor 108, the first signal processor 107 and sample liquid
Pond 105.Second control signal includes the second fuzzy controller 110, the second air pressure proportioning valve 113, second pressure sensor
117th, secondary signal processor 116 and sheath liquid pool 114.
Sample liquid pool 105 is connected with flow chamber 118, makes the first air pressure proportioning valve 104 control sample liquid to flow into the flowing
Sample liquid pressure feedback is given first fuzzy controller by the sample hydraulic coupling of room 118, first pressure sensor 108
101。
Sheath liquid pool 114 is connected with flow chamber 118, makes the second air pressure proportioning valve 113 control sheath fluid to flow into the flow chamber 118
Sheath hydraulic coupling, second pressure sensor 117 by sheath fluid pressure feedback give second fuzzy controller 110.
Calculating ratio module 109 is provided between the first control signal and second control signal, for passing through
First signal processor 107 is by sample liquid pressure transmission to the second fuzzy controller 110.
According to the present invention, the present embodiment in order that present disclosure can be illustrated more clearly, two-way is classified into
First feedback parameter F is referred to as regulation parameter T and control parameter K.In the first fuzzy controller 101 and the first air pressure proportioning valve
It is connected with the first amplifier 103 by the first A/D converter 102 between 104.For the setup parameter S of control pressure and regulation
Parameter T, enters into the first fuzzy controller and obtains controlled quentity controlled variable, is converted into voltage U1 by the first A/D converter 102, then pass through
Voltage U1 is enlarged into amplification voltage U2 by the first amplifier, so as to control the air pressure of the first air pressure proportioning valve 104 to sample liquid pool
105 sample hydraulic coupling P is adjusted.
According to the present invention, this implementation is between the second fuzzy controller 110 and the second air pressure proportioning valve 113 by the
Two A/D converters 111 are connected 112 with the second amplifier.Control parameter K and the second feedback parameter F ' for control pressure, enter
Enter to the second fuzzy controller 110 and obtain controlled quentity controlled variable, voltage U1 ' is converted into by the second A/D converter 111, then by second
Voltage U1 ' is enlarged into amplification voltage U2 ' by amplifier 112, so as to control the air pressure of the second air pressure proportioning valve 113 to sheath liquid pool
114 sheath hydraulic coupling P ' is adjusted.
According to the present invention, in the present embodiment, the sample hydraulic coupling P of the collection sample of first pressure sensor 108 liquid pool 105,
The sample hydraulic coupling that will be collected obtains the first feedback parameter F after the first signal processor 107 is processed；Second pressure is sensed
The sheath hydraulic coupling P ' of the collection sheath of device 117 liquid pool 114, the sheath hydraulic coupling that will be collected is after secondary signal processor 116 is processed
Obtain the second feedback parameter F '.
Preferably, in certain embodiments, the first air pressure proportioning valve 104 is also connected with the first air pump 106, for being the first gas
The pressure supplement pressure of proportioning valve 104；Second air pressure proportioning valve 115 is also connected with the second air pump, for being mended for the second air pressure proportioning valve 115
Pressurising power.
Flow cytometer laminar flow control method of the invention is described in detail below by the present embodiment, by this
The laminar flow control method that inventing the flow cytometer laminar flow control system for providing is carried out includes：
Step 1：Setup parameter S is input into the first control signal, the first air pressure proportioning valve 104 is controlled by setup parameter S
Sample cell is pressurizeed.Specifically, setup parameter S is transferred to 102 turns of the first A/D converter by the first fuzzy controller 101
Change voltage U1 into, then voltage U1 is enlarged into amplification voltage U2 by the first amplifier, control the gas of the first air pressure proportioning valve 104
Press and the first air pressure proportioning valve 104 of control is adjusted to the pressure of sample liquid pool 105 to sample cell pressurization.
Step 2：First pressure sensor 108 gathers sample hydraulic coupling, is converted to first by the first signal processor 107 anti-
Feedforward parameter F.
Step 3：First feedback parameter F points is regulation parameter T and control parameter K two-way, and wherein regulation parameter T joins with setting
Number S is adjusted to the first precise control amount by the first fuzzy controller 101, and sample cell pressure P is modified.
Step 4：Control parameter is input to the second control signal by calculating ratio module, and the second gas is controlled by control parameter
Pressure proportioning valve 113 pressurizes to sheath liquid pool.Specifically, control parameter is transferred to the 2nd A/D by the second fuzzy controller 110
Converter 111 is converted into voltage U1 ', then voltage U1 ' is enlarged into amplification voltage U2 ', control second by the second amplifier 112
The air pressure of air pressure proportioning valve 113 is adjusted to the sheath hydraulic coupling of sheath liquid pool 114.
Step 5：Second pressure sensor 117 gathers sheath hydraulic coupling, and the second feedback is converted to by secondary signal processor 116
Parameter.
Step 6：It is accurate that second feedback parameter F ' and control parameter K is adjusted to second by the second fuzzy controller 110
Controlled quentity controlled variable, is modified to sheath hydraulic coupling P '.
According to the present invention, the amendment in step 3 to sample cell pressure P is controlled by the method for fuzzy control, and Fig. 2 shows
The Controlling model schematic diagram of the first fuzzy controller of the invention is gone out, the control method of the first fuzzy controller includes：
Regulation parameter T and setup parameter S by it is discrete compare be calculated deviation e and deviation variation rate ec, the present embodiment
In in order to obtain the requirement of pressure precision, define deviation e and deviation variation rate ecDomain be [- 5,5] and [- 0.5,0.5], it is single
Position is mV (sampling period 20ms).
By deviation e and deviation variation rate ecIt is converted into fuzzy-adaptation PID control amount Δ Kp、ΔKd、ΔKi, in the present embodiment, select
Fuzzy subset is [NB, NM, NS, Z0, PS, PM, PB], corresponding linguistic variable for it is negative big, in bearing, bear it is small, zero, it is just small, just
In, it is honest }, by deviation e and deviation variation rate ecIt is converted into fuzzy-adaptation PID control amount Δ Kp、ΔKd、ΔKi.To upper in the present embodiment
State deviation e and deviation variation rate ecFuzzy-adaptation PID control amount Δ K is converted into using fuzzy inference rulep、ΔKd、ΔKi。
According to the present invention, to fuzzy-adaptation PID control amount Δ Kp、ΔKd、ΔKiDe-fuzzy is carried out, and it is precise control to adjust
Amount Kp、Kd、Ki.Using weighted mean method to fuzzy-adaptation PID control amount Δ K in the present embodimentp、ΔKd、ΔKiDe-fuzzy is carried out, is adjusted
Mould preparation paste PID control amount Δ Kp、ΔKd、ΔKi。
By the precisely controlled amount K of above-mentioned control method adjusting parameterp、Kd、Ki, choose precise control amount Kp、Kd、KiMake
For the initial value of PID control is exported, voltage U is converted to, and then sample cell pressure P is converted to by the first air pressure proportioning valve.
The control method of the second fuzzy controller is identical with the control method of the first fuzzy controller, specifically, the
The control method of two fuzzy controllers includes：
Control parameter K and the second feedback parameter F ' by it is discrete compare be calculated deviation e ' and deviation variation rate ec', this
In order to obtain the requirement of pressure precision in embodiment, deviation e ' and deviation variation rate e is definedc' domain for [- 5,5] with [-
0.5,0.5], unit is mV (sampling period 20ms).
By deviation e ' and deviation variation rate ec' it is converted into fuzzy-adaptation PID control amount Δ Kp’、ΔKd’、ΔKi', the present embodiment
In, it is [NB, NM, NS, Z0, PS, PM, PB] to select fuzzy subset, corresponding linguistic variable for it is negative big, in bearing, bear it is small, zero, just
Small, center is honest }, to above-mentioned deviation e ' and deviation variation rate ec' fuzzy-adaptation PID control amount is converted into using fuzzy inference rule
ΔKp’、ΔKd’、ΔKi’。
According to the present invention, to fuzzy-adaptation PID control amount Δ Kp’、ΔKd’、ΔKi' de-fuzzy is carried out, and it is accurate control to adjust
Amount K processedp’、Kd’、Ki’.Using weighted mean method to fuzzy-adaptation PID control amount Δ K in the present embodimentp’、ΔKd’、ΔKi' gone
Obfuscation, adjustment fuzzy-adaptation PID control amount Δ Kp’、ΔKd’、ΔKi’。
By the precisely controlled amount K of above-mentioned control method adjusting parameterp’、Kd’、Ki', choose precise control amount Kp’、
Kd’、Ki' exported as the initial value of PID control, voltage U ' is converted to, and then sheath hydraulic coupling is converted to by the second air pressure proportioning valve
P’。
Traditional PID control method pressure output schematic diagram as shown in Figure 3 a；Control method pressure of the present invention shown in Fig. 3 b
Output schematic diagram.Contrasted according to Fig. 3 a and Fig. 3 b according in embodiment in embodiment, the flow cytometer that the present invention is provided
Laminar flow control system and control method, for pressure output P/psi, sample liquid pressure-responsive Y is more steady with sheath fluid pressure-responsive Q
It is fixed, it is respectively provided with good control effect.
Traditional PID control method response speed schematic diagram as shown in fig. 4 a；Control method response speed of the present invention shown in Fig. 4 b
Degree schematic diagram.Contrasted according to Fig. 4 a and Fig. 4 b in embodiment, the present invention provide flow cytometer laminar flow control system and
Control method, for speed responsive P/psi, sample liquid speed responsive Y more stablizes with sheath fluid velocity response Q, is respectively provided with very well
Control effect.
Present invention synchronous error comparison diagram compared with traditional PID control method as shown in Figure 5.In embodiment, for output
Synchronous error e/psi, the flow cytometer laminar flow control system and the synchronous error B of control method provided according to the present invention, phase
The synchronous error C for comparing traditional PID control method is smaller, with good control effect.
Flow cytometer laminar flow control system and control method that the present invention is provided, fuzzy-adaptation PID control and sample liquid, sheath fluid
Master ＆ slave control structure be combined and carry out parameter self-tuning, reduction algorithm increases to the dependence of control system mathematical models
The synchronism of strong fluid path output, realizes real-time regulation and pressure stability output.
With reference to the explanation of the invention and practice that disclose here, other embodiment of the invention is for those skilled in the art
All will be readily apparent and understand.Illustrate and embodiment is to be considered only as exemplary, true scope of the invention and purport are equal
It is defined in the claims.
Claims (10)
1. a kind of flow cytometer laminar flow control method, it is characterised in that the control method includes：
A) setup parameter is input into the first control signal, controls the first air pressure proportioning valve to add sample cell by the setup parameter
Pressure；
B) first pressure sensor collection sample hydraulic coupling, the first feedback parameter is converted to by the first signal processor；
C) first feedback parameter is divided into regulation parameter and control parameter two-way, and the regulation parameter is logical with the setup parameter
Cross the first fuzzy controller and be adjusted to the first precise control amount；
D) control parameter is input to the second control signal by calculating ratio module, and the second gas is controlled by the control parameter
Pressure proportioning valve pressurizes to sheath liquid pool；
E) second pressure sensor collection sheath hydraulic coupling, the second feedback parameter is converted to by secondary signal processor；
F) second feedback parameter is adjusted to the second precise control with the control parameter by the second fuzzy controller
Amount.
2. control method according to claim 1, it is characterised in that the first fuzzy controller in the step c)
Control method includes：
C1) regulation parameter and the setup parameter by it is discrete compare obtain deviation e and deviation variation rate ec；
C2) by the deviation e and deviation variation rate ecIt is converted into fuzzy-adaptation PID control amount Δ Kp、ΔKd、ΔKi；
C3) to the fuzzy-adaptation PID control amount Δ Kp、ΔKd、ΔKiDe-fuzzy is carried out, and it is precise control amount K to adjustp、Kd、
Ki。
3. control method according to claim 1, it is characterised in that the second fuzzy controller in the step f)
Control method includes：
F1) second feedback parameter and the control parameter by it is discrete compare obtain deviation e ' and deviation variation rate ec’；
F2) by the deviation e ' and deviation variation rate ec' it is converted into fuzzy-adaptation PID control amount Δ Kp’、ΔKd’、ΔKi’；
F3) to the fuzzy-adaptation PID control amount Δ Kp’、ΔKd’、ΔKi' de-fuzzy is carried out, and it is precise control amount K to adjustp’、
Kd’、Ki’。
4. control method according to claim 2, it is characterised in that the deviation e and deviation variation rate ecIt is converted into fuzzy
PID control amount Δ Kp、ΔKd、ΔKi, it is [NB, NM, NS, Z0, PS, PM, PB] to select fuzzy subset, and corresponding linguistic variable is
It is negative big, and it is negative small in bearing, zero, just small, center is honest }.
5. control method according to claim 3, it is characterised in that the deviation e ' and deviation variation rate ec' it is converted into mould
Paste PID control amount Δ Kp’、ΔKd’、ΔKi', it is [NB, NM, NS, Z0, PS, PM, PB] to select fuzzy subset, and corresponding language becomes
Measure as { negative big, in bearing, bear small, zero, just small, center is honest }.
6. control method according to claim 1, it is characterised in that setup parameter passes through an A/D in the step a)
It is converted into voltage and by the first amplifier the first air pressure proportioning valve will be controlled to pressurize sample cell after voltage amplification；The step
It is rapid d) in control parameter by the 2nd A/D be converted into voltage and by the second amplifier by voltage amplification after control second air pressure
Proportioning valve pressurizes to sheath liquid pool.
7. a kind of flow cytometer laminar flow control system, it is characterised in that the control system includes the first control signal, the
Binary signal control signal and flow chamber, wherein
First control signal includes the first fuzzy controller, the first air pressure proportioning valve, first pressure sensor, the
One signal processor and sample liquid pool；Second control signal includes the second fuzzy controller, the second air pressure ratio
Valve, second pressure sensor, secondary signal processor and sheath liquid pool；
The sample liquid pool is connected with the flow chamber, the first air pressure proportional valve control sample liquid is flowed into the flow chamber
Sample hydraulic coupling, the first pressure sensor by the sample liquid pressure feedback give first fuzzy controller；
The sheath liquid pool is connected with the flow chamber, the second air pressure proportional valve control sheath fluid is flowed into the sheath of the flow chamber
The sheath fluid pressure feedback is given second fuzzy controller by hydraulic coupling, the second pressure sensor；
Calculating ratio module is provided between first control signal and second control signal, for by described
First signal processor is by the sample liquid pressure transmission to second fuzzy controller.
8. control system according to claim 7, it is characterised in that first fuzzy controller and described first
It is connected with the first amplifier by the first A/D converter between air pressure proportioning valve.
9. control system according to claim 7, it is characterised in that second fuzzy controller and described second
It is connected with the second amplifier by the second A/D converter between air pressure proportioning valve.
10. control system according to claim 7, it is characterised in that the first air pressure proportioning valve connects the first air pump,
The second air pressure proportioning valve connects the second air pump.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910270131.4A CN110031385B (en) | 2016-11-02 | 2017-03-24 | Laminar flow control method of flow cytometer |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610944319 | 2016-11-02 | ||
| CN2016109443199 | 2016-11-02 |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910270131.4A Division CN110031385B (en) | 2016-11-02 | 2017-03-24 | Laminar flow control method of flow cytometer |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106769812A true CN106769812A (en) | 2017-05-31 |
| CN106769812B CN106769812B (en) | 2019-04-16 |
Family
ID=58966283
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910270131.4A Active CN110031385B (en) | 2016-11-02 | 2017-03-24 | Laminar flow control method of flow cytometer |
| CN201710180299.7A Active CN106769812B (en) | 2016-11-02 | 2017-03-24 | A kind of flow cytometer laminar flow control system and control method |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910270131.4A Active CN110031385B (en) | 2016-11-02 | 2017-03-24 | Laminar flow control method of flow cytometer |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN110031385B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019014942A1 (en) * | 2017-07-21 | 2019-01-24 | 深圳迈瑞生物医疗电子股份有限公司 | Sample analyzer and sample monitoring method |
| CN109916805A (en) * | 2019-04-02 | 2019-06-21 | 无锡厦泰生物科技有限公司 | A kind of pressure control circuit of the fluid modules based on flow cytometer |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101078373A (en) * | 2007-07-05 | 2007-11-28 | 东北大学 | Combustion controlling device and controlling method for mini combustion turbine |
| CN102397608A (en) * | 2010-09-07 | 2012-04-04 | 北京航天长峰股份有限公司 | Method for controlling pressure of anesthesia machine and breathing machine in suction valve and expiration valve cooperative control mode |
| CN103028480A (en) * | 2012-12-10 | 2013-04-10 | 上海凯盛节能工程技术有限公司 | Intelligent control system for vertical mill based on fuzzy PID (proportion integration differentiation) algorithm |
| CN103995535A (en) * | 2014-06-04 | 2014-08-20 | 苏州工业职业技术学院 | Method for controlling PID controller route based on fuzzy control |
| CN104281057A (en) * | 2014-09-22 | 2015-01-14 | 国家电网公司 | Composite PID fuzzy control method applied to transformer cooling system |
| CN105587018A (en) * | 2015-11-13 | 2016-05-18 | 赛莱默(中国)有限公司 | Fuzzy control system of non-negative pressure water supply unit and fuzzy control method thereof |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201865154U (en) * | 2010-10-12 | 2011-06-15 | 浙江工业职业技术学院 | Variable frequency and constant voltage intelligent water supply device of fuzzy self-adaption proportion-integration-differentiation (PID) control |
| CN103822861A (en) * | 2014-03-12 | 2014-05-28 | 中国计量学院 | Diesel engine exhaust particle concentration detector based on fuzzy PID (proportional-integral-derivative) control |
| US10025322B2 (en) * | 2014-05-16 | 2018-07-17 | Cytonome/St, Llc | Fluid handling system for a fluid flow instrument |
| CN105334336A (en) * | 2015-11-16 | 2016-02-17 | 青岛安倍康生物医药技术有限公司 | Automatic blood cell counting system and control method thereof |
| CN105320169A (en) * | 2015-11-17 | 2016-02-10 | 沈阳溢源设备制造有限公司 | A sterilization and disinfection solution preparing device and a mixed liquor PH value regulating and controlling method |
-
2017
- 2017-03-24 CN CN201910270131.4A patent/CN110031385B/en active Active
- 2017-03-24 CN CN201710180299.7A patent/CN106769812B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101078373A (en) * | 2007-07-05 | 2007-11-28 | 东北大学 | Combustion controlling device and controlling method for mini combustion turbine |
| CN102397608A (en) * | 2010-09-07 | 2012-04-04 | 北京航天长峰股份有限公司 | Method for controlling pressure of anesthesia machine and breathing machine in suction valve and expiration valve cooperative control mode |
| CN103028480A (en) * | 2012-12-10 | 2013-04-10 | 上海凯盛节能工程技术有限公司 | Intelligent control system for vertical mill based on fuzzy PID (proportion integration differentiation) algorithm |
| CN103995535A (en) * | 2014-06-04 | 2014-08-20 | 苏州工业职业技术学院 | Method for controlling PID controller route based on fuzzy control |
| CN104281057A (en) * | 2014-09-22 | 2015-01-14 | 国家电网公司 | Composite PID fuzzy control method applied to transformer cooling system |
| CN105587018A (en) * | 2015-11-13 | 2016-05-18 | 赛莱默(中国)有限公司 | Fuzzy control system of non-negative pressure water supply unit and fuzzy control method thereof |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019014942A1 (en) * | 2017-07-21 | 2019-01-24 | 深圳迈瑞生物医疗电子股份有限公司 | Sample analyzer and sample monitoring method |
| CN109916805A (en) * | 2019-04-02 | 2019-06-21 | 无锡厦泰生物科技有限公司 | A kind of pressure control circuit of the fluid modules based on flow cytometer |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110031385B (en) | 2021-07-02 |
| CN106769812B (en) | 2019-04-16 |
| CN110031385A (en) | 2019-07-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Shenoy et al. | Flow topology during multiplexed particle manipulation using a stokes trap | |
| CN106769812B (en) | A kind of flow cytometer laminar flow control system and control method | |
| CN108760829A (en) | A kind of electronic nose recognition methods based on bionical olfactory bulb model and convolutional neural networks | |
| CN105697463A (en) | Self-adaptation control method for output feedback of hydraulic position servo system | |
| Pathmanathan et al. | Development and implementation of fuzzy logic controller for flow control application | |
| Sargolzaei et al. | Fuzzy inference system to modeling of crossflow milk ultrafiltration | |
| Ma | An improved fuzzy PID control algorithm applied in liquid mixing system | |
| Wang et al. | Flow control for a two-stage proportional valve with hydraulic position feedback | |
| CN101782787A (en) | Current control type low-pressure drop voltage-stabilizing circuit | |
| CN102455718B (en) | Temperature control system in catalyst production device, temperature control method and application of temperature control system | |
| Tan et al. | Design and analysis of a novel cascade control algorithm for braking-by-wire system based on electromagnetic direct-drive valves | |
| CN104535257A (en) | Silicon-piezoresistive temperature compensation assessment method | |
| CN103822861A (en) | Diesel engine exhaust particle concentration detector based on fuzzy PID (proportional-integral-derivative) control | |
| CN105955032A (en) | Inverter control method for optimization of extreme learning machine on the basis of bat algorithm | |
| CN105172194A (en) | Fuzzy-PID speed control hydraulic machine electrical system | |
| Gómez-Gutiérrez et al. | An arbitrary-order exact differentiator with predefined convergence time bound for signals with exponential growth bound | |
| CN107132568A (en) | Calculate the good system and method for drawing clean refined magnetic well plasma interface pressure | |
| CN107870567A (en) | A kind of advanced broad sense intelligence internal model collection PID controller design method of proportion differential | |
| CN105929691A (en) | Internal mode compensation control method based on fuzzy control | |
| Zhao et al. | Master and auxiliary compound control for multi-channel confluent water supply switching control based on variable universe fuzzy PID | |
| CN207164603U (en) | A kind of high precision closed loop controls humidity generator | |
| CN106807245A (en) | A kind of hollow fiber ultrafiltration membrane rejection detection means based on PLC | |
| Wu et al. | Research of secondary constant pressure water supply system based on fuzzy-PID controller | |
| CN103235511A (en) | Endocrine-algorithm-based intelligent plasma density control method for tokomaks | |
| Petit | Control of microfluidic separation processes governed by the Zweifach-Fung effect |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |