CN109882441A - Anti-surge control method and compression device - Google Patents
Anti-surge control method and compression device Download PDFInfo
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Abstract
The invention discloses a kind of anti-surge control method and compression devices.Anti-surge control method, comprising: acquire the surge data of compression device；Anti-surge Control is carried out to compression device using collected surge data and the surge model of compression device；And update is iterated to the surge model of compression device using collected surge data.In above-mentioned anti-surge control method, Anti-surge Control is carried out to compression device using collected surge data and the surge model of compression device, and update is iterated to the surge model of compression device using collected surge data, compression device can be effectively reduced in this way the probability of surge occurs or avoids compression device that surge occurs, it avoids compression device from being damaged, improves the service life of compression device.
Description
Technical field
The present invention relates to compression device technical field, in particular to a kind of anti-surge control method and compression device.
Background technique
In the related art, two stage centrifugal compressor is widely used in centrifugal water chillers, in this compressor types
In, surge is its exclusive characteristic.Surge is mainly flowed due to air-flow in impeller for adverse pressure gradient, when the flow if reduced,
It reduces in compressor internal gas flow velocity, while flow field deteriorates, so as to cause reflux, occurs periodically " surge ".Due to hair
When raw surge, air-flow periodically backwashes, and has damage to bearing and impeller, and therefore, it is necessary to carry out pre- anti-asthma to centrifugal compressor
Vibration control.
It prevents the control mode of surge from mainly obtaining surge data by carrying out experiment measurement to model machine at present, and is fitted
For multinomial, then it is arranged using multinomial coefficient as basic parameter when unit dispatches from the factory.In actual production, inclined due to producing
Difference exists, and the surging characteristic line of every unit can be slightly different, and is using the shortcomings that cure parameter: once it sends out in actual operation
When raw surge, unit does not have " to remember " to the pumping point, and next time still can run to pumping point surge again, and surge occurs
Probability is high, is easily damaged centrifugal compressor.
Summary of the invention
Embodiment of the present invention provides a kind of anti-surge control method and compression device.The anti-surge of embodiment of the present invention
Control method includes:
Acquire the surge data of compression device；
Surge model using the collected surge data and the compression device prevents the compression device
Surge control；
Update is iterated to the surge model of the compression device using the collected surge data.
In the anti-surge control method of above embodiment, the collected surge data and the compression device are utilized
Surge model to the compression device carry out Anti-surge Control, and using the collected surge data to it is described compression set
Standby surge model is iterated update, can be effectively reduced compression device in this way and the probability of surge occurs or compression is avoided to set
Preparation gives birth to surge, avoids compression device from being damaged, improves the service life of compression device.
In some embodiments, the surge data include that institute before surge in preset duration occurs for the compression device
State the surge pressure ratio of the frequency of compression device, the guide vane opening of the compression device and the compression device.
In some embodiments, using the collected surge data and the surge model of the compression device to institute
It states compression device and carries out Anti-surge Control, comprising:
According to collecting the current frequency of the compression device, the current guide vane opening and the compression of the compression device
The surge model of equipment obtains the current surge pressure ratio of the compression device；
Judge whether the difference of the current operation pressure ratio of the current surge pressure ratio and the compression device is pre- less than first
If value；
In the case where the difference is less than first preset value, Anti-surge Control is carried out to the compression device.
In some embodiments, in the case where the difference is less than first preset value, to the compression device
Carry out Anti-surge Control, comprising:
In the case where the difference is less than first preset value, increase the current frequency of the compression device.
In some embodiments, in the case where the difference is less than first preset value, to the compression device
Carry out Anti-surge Control, comprising:
In the case where the difference is less than first preset value and in the case where the current frequency of increase compression device,
Reduce the current guide vane opening of the compression device.
In some embodiments, it is carried out using surge model of the collected surge data to the compression device
Iteration updates, comprising:
Utilize the collected surge Data Acquisition Model parameter；
New surge model is established according to the model parameter.
In some embodiments, the collected surge Data Acquisition Model parameter is utilized, comprising:
Binary function is established using the collected surge data；
The model parameter of the binary function is calculated according to least square method.
In some embodiments, the group number for establishing surge data required for binary function described in n rank is at least 2n+1
Group, n are positive integer.
In some embodiments, the anti-surge control method includes:
Judge whether collected current surge data are effective；
In the current effective situation of surge data, the current surge data are saved.
In some embodiments, judge whether collected current surge data are effective, comprising:
The current surge number is judged according to the current surge data, the surge data saved and distance function
According to whether effectively.
The compression device of embodiment of the present invention comprising acquisition module, control module and update module, the acquisition mould
Block is used to acquire the surge data of the compression device, and the control module is used to utilize the collected surge data and institute
The surge model for stating compression device carries out Anti-surge Control to the compression device, and the update module is used for using collected
The surge data are iterated update to the surge model of the compression device.
In the compression device of above embodiment, the surge of collected the surge data and the compression device is utilized
Model carries out Anti-surge Control, and the asthma using the collected surge data to the compression device to the compression device
Vibration model is iterated update, can be effectively reduced compression device in this way and the probability of surge occurs or avoids compression device
Surge avoids compression device from being damaged, and improves the service life of compression device.
In some embodiments, the surge data include that institute before surge in preset duration occurs for the compression device
State the surge pressure ratio of the frequency of compression device, the guide vane opening of the compression device and the compression device.
In some embodiments, the control module is used for according to current frequency, the institute for collecting the compression device
The surge model of the current guide vane opening and the compression device of stating compression device obtains the current surge pressure of the compression device
Than, and judge whether the difference of the current operation pressure ratio of the current surge pressure ratio and the compression device is default less than first
Value, and in the case where the difference is less than first preset value, Anti-surge Control is carried out to the compression device.
In some embodiments, in the case where the difference is less than first preset value, the control module is used
In the current frequency for increasing the compression device.
In some embodiments, in the case where the difference is less than first preset value and increase compression device
In the case where current frequency, the control module is used to reduce the current guide vane opening of the compression device.
In some embodiments, the update module is used to join using the collected surge Data Acquisition Model
Number, and new surge model is established according to the model parameter.
In some embodiments, the update module is used to establish binary letter using the collected surge data
It counts, and calculates the model parameter of the binary function according to least square method.
In some embodiments, the group number for establishing surge data required for binary function described in n rank is at least 2n+1
Group, n are positive integer.
In some embodiments, the compression device includes judgment module and preserving module, and the judgment module is used for
Judge whether collected current surge data are effective；The preserving module is used for the situation effective in the current surge data
Under, save the current surge data.
In some embodiments, the judgment module is used for according to the current surge data, the asthma saved
Vibration data and distance function judge whether the current surge data are effective.
Embodiment of the present invention is in some embodiments comprising processor and memory, the memory storage
There is automatic control anti-surge program, the automatic control anti-surge program is executed by the processor to realize the anti-of any of the above-described embodiment
Surge controlling method.
In the compression device of above embodiment, the surge of collected the surge data and the compression device is utilized
Model carries out Anti-surge Control, and the asthma using the collected surge data to the compression device to the compression device
Vibration model is iterated update, can be effectively reduced compression device in this way and the probability of surge occurs or avoids compression device
Surge avoids compression device from being damaged, and improves the service life of compression device.
The additional aspect and advantage of embodiment of the present invention will be set forth in part in the description, partially will be from following
Become obvious in description, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect of the invention and advantage can be from combining in description of the following accompanying drawings to embodiment
It will be apparent and be readily appreciated that, in which:
Fig. 1 is the flow diagram of the anti-surge control method of embodiment of the present invention.
Fig. 2 is the module diagram of the compression device of embodiment of the present invention.
Fig. 3 is another flow diagram of the anti-surge control method of embodiment of the present invention.
Fig. 4 is the another flow diagram of the anti-surge control method of embodiment of the present invention.
Fig. 5 is another flow diagram of the anti-surge control method of embodiment of the present invention.
Fig. 6 is another module diagram of the compression device of embodiment of the present invention.
Fig. 7 is the distribution schematic diagram of the surge data of embodiment of the present invention.
Fig. 8 is another distribution schematic diagram of the surge data of embodiment of the present invention.
Fig. 9 is the another module diagram of the compression device of embodiment of the present invention.
Specific embodiment
Embodiments of the present invention are described below in detail, the example of embodiment is shown in the accompanying drawings, wherein identical or class
As label indicate same or similar element or element with the same or similar functions from beginning to end.Below with reference to attached
The embodiment of figure description is exemplary, and for explaining only the invention, and is not considered as limiting the invention.
In the description of embodiments of the present invention, term " first ", " second " are used for description purposes only, and cannot understand
For indication or suggestion relative importance or implicitly indicate the quantity of indicated technical characteristic.Define as a result, " first ",
The feature of " second " can explicitly or implicitly include one or more feature.In embodiments of the present invention
In description, the meaning of " plurality " is two or more, unless otherwise specifically defined.
In the description of embodiments of the present invention, it should be noted that unless otherwise clearly defined and limited, term
" installation ", " connected ", " connection " shall be understood in a broad sense, for example, it may be fixedly connected, may be a detachable connection or one
Connect to body；Can be directly connected, can also indirectly connected through an intermediary, can be connection inside two elements or
The interaction relationship of two elements.For the ordinary skill in the art, can understand as the case may be above-mentioned
The concrete meaning of term in embodiments of the present invention.
Following disclosure provides many different embodiments or example is used to realize embodiments of the present invention not
Same structure.In order to simplify the disclosure of embodiments of the present invention, hereinafter the component of specific examples and setting are described.When
So, they are merely examples, and is not intended to limit the present invention.In addition, embodiments of the present invention can be in different examples
Repeat reference numerals and/or reference letter in son, this repetition are for purposes of simplicity and clarity, itself not indicate to be begged for
By the relationship between various embodiments and/or setting.
Fig. 1 and Fig. 2 is please referred to, the anti-surge control method of embodiment of the present invention includes:
Step S10 acquires the surge data of compression device 200；
Step S20 carries out compression device 200 using collected surge data and the surge model of compression device 200
Anti-surge Control；
Step S30 is iterated update to the surge model of compression device 200 using collected surge data.
The anti-surge control method of embodiment of the present invention can be realized by the compression device 200 of embodiment of the present invention.Pressure
Contracting equipment 200 includes acquisition module 10, control module 20 and update module 30.Acquisition module 10 is for acquiring compression device 200
Surge data.Control module 20 is for setting compression using the surge model of collected surge data and compression device 200
Standby 200 carry out Anti-surge Control.Update module 30 is used for the surge model using collected surge data to compression device 200
It is iterated update.
The anti-surge control method of above embodiment and middle compression device 200 utilize collected surge data and pressure
The surge model of contracting equipment 200 carries out Anti-surge Control to compression device 200, and is set using collected surge data to compression
Standby 200 surge model is iterated update, can be effectively reduced compression device 200 in this way and the probability of surge occurs or avoids
Compression device 200 occurs surge and improves the service life of compression device 200 so that compression device 200 be avoided to be damaged.
Specifically, the surge data of compression device 200 can be acquired in the case where compression device 200 is run.Compression is set
Standby 200 further include frequency converter 210 and Electric Actuator 220, and the frequency of compression device 200 can be by the frequency conversion from compression device 200
Device 210 obtains.The Electric Actuator 220 of compression device 200 can be used for detecting the guide vane opening of compression device 200, and compresses and set
Standby 200 guide vane opening can be fed back by the Electric Actuator 220 of compression device 200 to be obtained.
In some embodiments, surge data include that the compression that occurs before surge in preset duration of compression device 200 is set
Frequency, the surge pressure ratio of the guide vane opening of compression device 200 and compression device 200 for 200.Above-mentioned surge data may make up
Surge data group.
Specifically, compression device 200 may include centrifugal compression device, and centrifugal compression device can be two stage centrifugal compressor.
Compression device 200 is in the case where operation, if when running to pumping point surge occurs for compression device 200, at this point it is possible to acquire pressure
Frequency, the guide vane opening and compression of compression device 200 of compression device 200 before the generation surge of contracting equipment 200 in preset duration
The surge pressure ratio of equipment 200.In one example, the selectable range of preset duration is 10~20 seconds.
In some embodiments, compression device 200 just has default surge model when leaving the factory, in collected compression
When the group number of the surge data of equipment 200 is less, Anti-surge Control can be carried out according to default surge model.In compression device
When the number of 200 operations and more and more time, the group number of the surge data of collected compression device 200 also gradually increases,
In such a case, it is possible to be iterated using default surge model of the collected surge data to the compression device 200
It updates to be formed and is more suitable for the currently running surge mode of compression device 200, so, so that pass through the updated compression of iteration
The surge model of equipment 200 is run in compression device 200 close in this way according to the pumping point for accurately predicting compression device 200
Anti-surge Control can be made when the pumping point in time, run to the pumping point to avoid compression device 200 or reduces compression device
200 occur the probability of surge.
In some embodiments, compression device 200 can also not have default surge model when leaving the factory.And it is set in compression
When operation for the first time after standby factory, surge data can be first acquired to establish surge model, then using the surge model after establishing
Surge control is carried out to compression device 200.
Referring to Fig. 3, in some embodiments, step S30 includes:
Step S32 utilizes collected surge Data Acquisition Model parameter；
Step S34 establishes new surge model according to model parameter.
The anti-surge control method of above embodiment can be realized by the compression device 200 of embodiment of the present invention.Wherein,
Step S32 and step S34 can be realized by update module 30.Update module 30 is used to utilize collected surge Data Acquisition Model
Parameter, and new surge model is established according to model parameter.
In this way, in this way can the surge model accurately and quickly to compression device 200 be iterated update so that making
With the surge model of the compression device 200 to carry out Anti-surge Control more accurate.
Specifically, in one embodiment, model parameter can be to meet the model parameter of preset relation, can be according to
Collected surge data establish network table, and according to network table, constantly iteration updates surge model.In another implementation
In example, model parameter is the model parameter of binary function.It should be noted that the model parameter of preset relation can be according to actual
Demand is configured, it is not limited here.
Referring to Fig. 4, in some embodiments, step S32 includes:
Step S322 establishes binary function using collected surge data；
Step S324 calculates the model parameter of binary function according to least square method.
The anti-surge control method of above embodiment can be realized by the compression device 200 of embodiment of the present invention.Wherein,
Step S322 and step S324 can be realized by update module 30.Update module 30 is used to establish two using collected surge data
Meta-function, and the model parameter according to least square method calculating binary function.In this way, can quickly and accurately get in this way
The model parameter of binary function.
Specifically, the surge pressure ratio PR of compression device 200sFor the frequency F of compression device 200 and leading for compression device 200
The function of leaf aperture D, i.e. PRs=g (F, D) can be spread out according to the Taylor Expansion of binary function are as follows:
PRs=g (F, D)=A0+A1F+A2F2+A3F3+…+B1D+B2D2+B3D3+ ...,
Wherein Ai, BiFor model parameter, infinite order is usually taken, sample data is few, and when precision of prediction is low, order is small；Sample
Data are more, and when precision of prediction is high, order is big.
(Fi, Di, PRs), i=1,2,3...m be when presetting before the surge recorded in 200 operational process of compression device occurs
Set of data points in length, taking fitting function is quadratic polynomial, it may be assumed that
PRs=g (F, D)=A0+A1F+A2F2+A3D+A4D2(formula 1),
The surge data of collected compression device 200 are substituted into available in aforesaid equation (formula 1):
PRs1=A0+A1F1+A2F1 2+A3D1+A4D1 2,
PRs2=A0+A1F2+A2F2 2+A3D2+A4D2 2,
...
PRsm=A0+A1Fm+A2Fm 2+A3Dm+A4Dm 2,
It is written as matrix form are as follows:
NoteThe least square solution of above-mentioned overdetermination matrix equation
Are as follows:
A=(WTW)-1WTP,
It follows that calculating the model parameter of binary function according to least square method are as follows: A=(WTW)-1WTP.Therefore, root
New surge model is established according to the model parameter.
It should be noted that the group number for establishing surge data required for binary function described in n rank is at least 2n+1 group, n
For positive integer.
In practical applications, 200 early period of compression device is since pumping point is less therefore the group number of collected surge data
Also less.Therefore, when 1 rank binary function of use, which establishes surge model, to be predicted, 3 groups of surge data are at least needed, at this time
Model matrixWhen 2 rank binary functions of use, which establish surge model, to be predicted, 5 groups of surge numbers are at least needed
According to.When 3 rank binary functions of use, which establish surge model, to be predicted, 7 groups of surge data are at least needed.And so on, when adopting
When establishing surge model with n rank binary function and being predicted, 2n+1 group surge data, model matrix at this time are at least neededIn practical applications, if order is excessively high, the operand of compression device 200 can be increased dramatically, therefore, can be according to pressure
The upper limit of the processor setting order of contracting equipment 200.Preferably, the order upper limit of binary function is 5, i.e., preferably, n≤5.
Referring to Fig. 5, in some embodiments, step S20 includes:
Step S22, according to collecting the current frequency of compression device 200, the current guide vane opening and pressure of compression device 200
The surge model of contracting equipment 200 obtains the current surge pressure ratio of compression device 200；
Whether step S24 judges the difference of the current operation pressure ratio of current surge pressure ratio and compression device 200 less than first
Preset value；
In the case where difference is less than the first preset value, step S26 carries out Anti-surge Control to compression device 200.
The anti-surge control method of above embodiment can be realized by the compression device 200 of embodiment of the present invention.Wherein,
Step S22, step S24 and step S26 can be realized by control module 20.Control module 20 is used for basis and collects compression device
The surge model of 200 current frequency, the current guide vane opening of compression device 200 and compression device 200 obtains compression device 200
Current surge pressure ratio, and judge current surge pressure ratio and compression device 200 current operation pressure ratio difference whether less than the
One preset value, and in the case where difference is less than the first preset value, Anti-surge Control is carried out to compression device 200.
In this way, whether the difference of the current operation pressure ratio by judge current surge pressure ratio and compression device 200 is less than the
One preset value, and in the case where difference is less than the first preset value carries out Anti-surge Control to compression device 200, in this way can be with
Anti-surge Control accurately is carried out to compression device 200, reduces the probability that surge occurs for compression device 200.
It should be noted that the current frequency of compression device 200 can be by obtaining from the frequency converter 210 of compression device 200.Pressure
The guide vane opening of contracting equipment 200 can be fed back by the Electric Actuator 220 of compression device 200 to be obtained.The current fortune of compression device 200
Row pressure ratio is the ratio of the condenser pressure of compression device 200 and the evaporator pressure of compression device 200, and condenser pressure can
It is read by the pressure sensor of condenser, evaporator pressure can be read by the pressure sensor of evaporator.Present embodiment
Compression device can be applied to centrifugal refrigerating machines.
Specifically, in one embodiment, the current frequency of compression device 200 is F*, and compression device 200 works as pilot blade
Aperture is D*, according to the matrix of aforesaid equation (formula 1) it is found that currently running surge data matrix are as follows:
W*=[1 (F*)2D*(D*)2],
It follows that the current surge pressure ratio of compression device 200Are as follows:In the present embodiment, lead to
It crosses and judges current surge pressure ratioWhether the difference with the current operation pressure ratio of compression device 200 is less than the first preset value, in difference
In the case that value is less than the first preset value, Anti-surge Control is carried out to compression device 200, wherein the first preset value can be according to reality
Border situation is configured, and is not limited thereto.In one example, the range of the first preset value is [0.01,0.02].
In some embodiments, anti-surge control method includes: and increases in the case where difference is less than the first preset value
The current frequency of compression device 200, and/or reduce the current guide vane opening of compression device 200.
Above-mentioned anti-surge control method can be realized by control module 20.Wherein, the case where difference is less than the first preset value
Under, control module 20 is used to increase the current frequency of compression device 200, and/or reduce compression device 200 when pilot blade is opened
Degree.
In one embodiment, in the case where difference is less than the first preset value, increase the current frequency of compression device 200
With the current guide vane opening for reducing compression device 200.
In another embodiment, in the case where difference is less than the first preset value, increase the current frequency of compression device 200
Rate.
It is appreciated that then illustrating the current operating status of compression device 200 in the case where difference is less than the first preset value
The current frequency of compression device 200 can be increased at this time close to pumping point in order to avoid surge occurs, set due to increasing compression
After standby 200 current frequency, the load of compression device 200 be will increase, and therefore, can also pass through the guide vane of reduction compression device 200
Aperture reduces the load of compression device 200.
In some embodiments, anti-surge control method includes: to judge whether collected current surge data are effective；
In the current effective situation of surge data, current surge data are saved.The anti-surge control method of above embodiment can be by
The compression device 200 of embodiment of the present invention is realized.
Referring to Fig. 6, compression device 200 includes judgment module 40 and preserving module 50.Judgment module 40 is adopted for judging
Whether the current surge data collected are effective.Preserving module 50 is used in the current effective situation of surge data, is saved current
Surge data.In this way, the precision of the surge model of compression device 200 can be improved in this way.
It should be noted that not saving current surge data in the case where current surge data invalid.
In some embodiments, judge whether collected current surge data are effective, comprising:
Judge whether current surge data are effective according to current surge data, the surge data saved and distance function.
The anti-surge control method of above embodiment can be realized by the judgment module 40 of embodiment of the present invention.Judge mould
Block 40 is used to judge whether current surge data are effective according to current surge data, the surge data saved and distance function.
Specifically, in order to increase surge model surge data validity, prevent from acquiring near a certain pumping point
More data and the precision for influencing surge model, are compared in the current surge data that will test with the surge data saved
Right, distance function can join following formula:
Calculate newly-increased surge data (the current frequency F for example including compression device 200i, the current asthma of compression device 200
Shake pressure ratio PRsi) with multiple groups surge data (the frequency F of compression device savedj, the surge pressure ratio PR of compression devicesj) away from
From, if newly-increased surge data are all larger than preset threshold d1 with the distance of each group surge data saved, when determine newly-increased asthma
Data of shaking are effective, and the surge data that newly-increased current surge data are updated as the surge model iteration of compression device 200.
As shown in fig. 7, the curve scope of application being fitted is obviously limited if surge data all concentrate in together.If
Surge data are more dispersed, and the curve scope of application of fitting is wider, as shown in figure 8, therefore, in the present embodiment, when newly-increased
Just determine to increase surge data newly when surge data are all larger than d1 with the distance of each group surge data saved it is effective, in this way can be with
Improve the precision of the surge model of compression device 200.
Referring to Fig. 9, the compression device 300 of embodiment of the present invention includes processor 230 and memory 240, memory
240 are stored with automatic control anti-surge program, and automatic control anti-surge program is executed by processor 230 to realize any of the above-described embodiment
Anti-surge control method.Wherein, compression device 300 further includes frequency converter 210 and Electric Actuator 220.
In one embodiment, automatic control anti-surge program is executed by processor 240 to perform the steps of
S10 acquires the surge data of compression device 300 in the case where compression device 300 is run；
S20 carries out anti-asthma to compression device 300 using collected surge data and the surge model of compression device 300
Vibration control；And
S30 is iterated update to the surge model of compression device 300 using collected surge data.
In the description of this specification, reference term " embodiment ", " some embodiments ", " schematically implementation
The description of mode ", " example ", specific examples or " some examples " etc. means the tool described in conjunction with the embodiment or example
Body characteristics, structure, material or feature are contained at least one embodiment or example of the invention.In the present specification,
Schematic expression of the above terms are not necessarily referring to identical embodiment or example.Moreover, the specific features of description, knot
Structure, material or feature can be combined in any suitable manner in any one or more embodiments or example.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not go out or discuss suitable described in
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, Lai Zhihang function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use
In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (such as computer based system, including the system of processing module or other can be from instruction
Execute system, device or equipment instruction fetch and the system that executes instruction) use, or combine these instruction execution systems, device or
Equipment and use.For the purpose of this specification, " computer-readable medium " can be it is any may include, store, communicating, propagating or
Transfer program uses for instruction execution system, device or equipment or in conjunction with these instruction execution systems, device or equipment
Device.The more specific example (non-exhaustive list) of computer-readable medium include the following: there are one or more wirings
Electrical connection section (control method), portable computer diskette box (magnetic device), random access memory (RAM), read-only memory
(ROM), erasable edit read-only storage (EPROM or flash memory), fiber device and portable optic disk is read-only deposits
Reservoir (CDROM).In addition, computer-readable medium can even is that the paper that can print described program on it or other are suitable
Medium, because can then be edited, be interpreted or when necessary with it for example by carrying out optical scanner to paper or other media
His suitable method is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each section of embodiments of the present invention can be with hardware, software, firmware or their combination come real
It is existing.In the above-described embodiment, multiple steps or method can be with storages in memory and by suitable instruction execution system
The software or firmware of execution is realized.For example, if realized with hardware, in another embodiment, ability can be used
Any one of following technology or their combination well known to domain is realized: being had for realizing logic function to data-signal
The discrete logic of logic gates, the specific integrated circuit with suitable combinational logic gate circuit, programmable gate array
(PGA), field programmable gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries
It suddenly is that relevant hardware can be instructed to complete by program, the program can store in a kind of computer-readable storage medium
In matter, which when being executed, includes the steps that one or a combination set of embodiment of the method.
In addition, each functional unit in various embodiments of the present invention can integrate in a processing module, it can also
To be that each unit physically exists alone, can also be integrated in two or more units in a module.It is above-mentioned integrated
Module both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module
If in the form of software function module realize and when sold or used as an independent product, also can store one calculating
In machine read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..
Although embodiments of the present invention have been shown and described above, it is to be understood that above embodiment is
Illustratively, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be right
Above-mentioned implementation implementation is changed, modifies, replacement and variant.
Claims (21)
1. a kind of anti-surge control method characterized by comprising
Acquire the surge data of compression device；
Anti-surge is carried out to the compression device using the collected surge data and the surge model of the compression device
Control；
Update is iterated to the surge model of the compression device using the collected surge data.
2. anti-surge control method as described in claim 1, which is characterized in that the surge data include the compression device
The frequency of the compression device, the guide vane opening of the compression device and the compression device before generation surge in preset duration
Surge pressure ratio.
3. anti-surge control method as claimed in claim 2, which is characterized in that utilize the collected surge data and institute
The surge model for stating compression device carries out Anti-surge Control to the compression device, comprising:
According to the current guide vane opening and the compression device for collecting the current frequency of the compression device, the compression device
Surge model obtain the current surge pressure ratio of the compression device；
Judge the difference of the current operation pressure ratio of the current surge pressure ratio and the compression device whether less than the first preset value；
In the case where the difference is less than first preset value, Anti-surge Control is carried out to the compression device.
4. anti-surge control method as claimed in claim 3, which is characterized in that be less than first preset value in the difference
In the case where, Anti-surge Control is carried out to the compression device, comprising:
In the case where the difference is less than first preset value, increase the current frequency of the compression device.
5. anti-surge control method as claimed in claim 4, which is characterized in that be less than first preset value in the difference
In the case where, Anti-surge Control is carried out to the compression device, comprising:
In the case where the difference is less than first preset value and in the case where the current frequency of increase compression device, reduce
The current guide vane opening of the compression device.
6. anti-surge control method as described in claim 1, which is characterized in that using the collected surge data to institute
The surge model for stating compression device is iterated update, comprising:
Utilize the collected surge Data Acquisition Model parameter；
New surge model is established according to the model parameter.
7. anti-surge control method as claimed in claim 6, which is characterized in that utilize the collected surge data acquisition
Model parameter, comprising:
Binary function is established using the collected surge data；
The model parameter of the binary function is calculated according to least square method.
8. anti-surge control method as claimed in claim 7, which is characterized in that establish required for binary function described in n rank
The group number of surge data is at least 2n+1 group, and n is positive integer.
9. anti-surge control method as described in claim 1, which is characterized in that the anti-surge control method includes:
Judge whether collected current surge data are effective；
In the current effective situation of surge data, the current surge data are saved.
10. anti-surge control method as claimed in claim 9, which is characterized in that judge that collected current surge data are
It is no effective, comprising:
Judge that the current surge data are according to the current surge data, the surge data saved and distance function
It is no effective.
11. a kind of compression device, which is characterized in that including acquisition module, control module and update module, the acquisition module is used
In the surge data for acquiring the compression device, the control module is used to utilize the collected surge data and the pressure
The surge model of contracting equipment carries out Anti-surge Control to the compression device, and the update module is used for using collected described
Surge data are iterated update to the surge model of the compression device.
12. compression device as claimed in claim 11, which is characterized in that the surge data include that the compression device occurs
The asthma of the frequency of the compression device before surge in preset duration, the guide vane opening of the compression device and the compression device
Vibration pressure ratio.
13. compression device as claimed in claim 12, which is characterized in that the control module is used for basis and collects the pressure
The surge model of the current frequency of contracting equipment, the current guide vane opening of the compression device and the compression device obtains the pressure
The current surge pressure ratio of contracting equipment, and judge the difference of the current operation pressure ratio of the current surge pressure ratio and the compression device
Whether less than the first preset value, and the difference be less than first preset value in the case where, to the compression device into
Row Anti-surge Control.
14. compression device as claimed in claim 13, which is characterized in that be less than the feelings of first preset value in the difference
Under condition, the control module is used to increase the current frequency of the compression device.
15. compression device as claimed in claim 14, which is characterized in that be less than the feelings of first preset value in the difference
Under condition and in the case where the current frequency of increase compression device, it is leading that the control module is used to reduce working as the compression device
Leaf aperture.
16. compression device as claimed in claim 11, which is characterized in that the update module is used for using collected described
Surge Data Acquisition Model parameter, and new surge model is established according to the model parameter.
17. compression device as claimed in claim 16, which is characterized in that the update module is used for using collected described
Surge data establish binary function, and the model parameter of the binary function is calculated according to least square method.
18. compression device as claimed in claim 17, which is characterized in that establish surge required for binary function described in n rank
The group number of data is at least 2n+1 group, and n is positive integer.
19. compression device as claimed in claim 11, which is characterized in that the compression device includes judgment module and preservation mould
Block, the judgment module is for judging whether collected current surge data are effective；The preserving module described for working as
In the preceding effective situation of surge data, the current surge data are saved.
20. compression device as claimed in claim 19, which is characterized in that the judgment module is used for according to the current surge
Data, the surge data saved and distance function judge whether the current surge data are effective.
21. a kind of compression device, which is characterized in that including processor and memory, the memory is stored with Anti-surge Control
Program, the automatic control anti-surge program are executed by the processor to realize the described in any item anti-surge controls of claim 1-10
Method processed.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110388773A (en) * | 2019-07-15 | 2019-10-29 | 重庆美的通用制冷设备有限公司 | Fault detection method, system and the water cooler of water cooler |
| CN111188784A (en) * | 2019-10-09 | 2020-05-22 | 浙江中控技术股份有限公司 | Anti-surge self-adaptive control method |
| WO2023198221A1 (en) * | 2022-04-12 | 2023-10-19 | 重庆美的通用制冷设备有限公司 | Compressor surge detection method and apparatus, electronic device, and heating and ventilation device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202100436U (en) * | 2011-06-10 | 2012-01-04 | 辽宁华兴森威科技发展有限公司 | Surge control system of compressor unit |
| EP2487369A2 (en) * | 2011-02-10 | 2012-08-15 | Hitachi Plant Technologies, Ltd. | Control device and control method of compressor |
| CN104871107A (en) * | 2012-12-12 | 2015-08-26 | 塞阿姆斯特朗有限公司 | Self learning control system and method for optimizing a consumable input variable |
| CN105889112A (en) * | 2016-04-10 | 2016-08-24 | 北京化工大学 | Membership function model-based surging protection method of centrifugal compressor |
-
2019
- 2019-03-11 CN CN201910180913.9A patent/CN109882441B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2487369A2 (en) * | 2011-02-10 | 2012-08-15 | Hitachi Plant Technologies, Ltd. | Control device and control method of compressor |
| CN202100436U (en) * | 2011-06-10 | 2012-01-04 | 辽宁华兴森威科技发展有限公司 | Surge control system of compressor unit |
| CN104871107A (en) * | 2012-12-12 | 2015-08-26 | 塞阿姆斯特朗有限公司 | Self learning control system and method for optimizing a consumable input variable |
| CN105889112A (en) * | 2016-04-10 | 2016-08-24 | 北京化工大学 | Membership function model-based surging protection method of centrifugal compressor |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110388773A (en) * | 2019-07-15 | 2019-10-29 | 重庆美的通用制冷设备有限公司 | Fault detection method, system and the water cooler of water cooler |
| WO2021008176A1 (en) * | 2019-07-15 | 2021-01-21 | 重庆美的通用制冷设备有限公司 | Fault detection method and system for water chilling unit, and water chilling unit |
| CN111188784A (en) * | 2019-10-09 | 2020-05-22 | 浙江中控技术股份有限公司 | Anti-surge self-adaptive control method |
| CN111188784B (en) * | 2019-10-09 | 2022-03-22 | 浙江中控技术股份有限公司 | Anti-surge self-adaptive control method |
| WO2023198221A1 (en) * | 2022-04-12 | 2023-10-19 | 重庆美的通用制冷设备有限公司 | Compressor surge detection method and apparatus, electronic device, and heating and ventilation device |
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| CN109882441B (en) | 2020-05-08 |
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Application publication date: 20190614 Assignee: Shanghai Meikong Intelligent Building Co.,Ltd. Assignor: CHONGQING MIDEA GENERAL REFRIGERATION EQUIPMENT Co.,Ltd. Contract record no.: X2023990000454 Denomination of invention: Anti surge control methods and compression equipment Granted publication date: 20200508 License type: Common License Record date: 20230508 |