CN109882441B - Anti-surge control method and compression equipment - Google Patents
Anti-surge control method and compression equipment Download PDFInfo
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Abstract
The invention discloses an anti-surge control method and compression equipment. An anti-surge control method comprising: collecting surge data of compression equipment; carrying out anti-surge control on the compression equipment by utilizing the collected surge data and a surge model of the compression equipment; and iteratively updating a surge model of the compression equipment by using the collected surge data. In the anti-surge control method, the collected surge data and the surge model of the compression equipment are used for carrying out anti-surge control on the compression equipment, and the collected surge data is used for carrying out iterative updating on the surge model of the compression equipment, so that the probability of surge generation of the compression equipment can be effectively reduced or the compression equipment is prevented from generating surge, the compression equipment is prevented from being damaged, and the service life of the compression equipment is prolonged.
Description
Technical Field
The invention relates to the technical field of compression equipment, in particular to an anti-surge control method and compression equipment.
Background
In the related art, two-stage centrifugal compressors are widely used in centrifugal chiller units, and in this type of compressor, surge is its unique characteristic. Surging is mainly due to the fact that gas flows in the impeller in a counter-pressure gradient mode, when the flow is reduced, the gas flow speed in the compressor is reduced, meanwhile, the flow field is deteriorated, backflow is caused, and periodic surging occurs. When surging occurs, the air flow periodically recoils, and damages both the bearing and the impeller, so that surge prevention control needs to be performed on the centrifugal compressor.
At present, a control mode for preventing surging is mainly to obtain surging data through experimental measurement of a prototype, fit the surging data into a polynomial, and then set the polynomial coefficient as a basic parameter when a unit leaves a factory. In actual production, because production deviation exists, the surge characteristic line of each unit is slightly different, and the defects of adopting curing parameters are as follows: when surge occurs in actual operation, the unit does not have 'memory' of the surge point, and the unit still operates to the surge point for surge again next time, so that the probability of surge is high, and the centrifugal compressor is easy to damage.
Disclosure of Invention
The embodiment of the invention provides an anti-surge control method and compression equipment. The anti-surge control method of the embodiment of the invention comprises the following steps:
collecting surge data of compression equipment;
carrying out anti-surge control on the compression equipment by utilizing the collected surge data and a surge model of the compression equipment;
and carrying out iterative updating on a surge model of the compression equipment by using the collected surge data.
In the anti-surge control method according to the above embodiment, the collected surge data and the surge model of the compression equipment are used to perform anti-surge control on the compression equipment, and the collected surge data is used to perform iterative update on the surge model of the compression equipment, so that the probability of surge generation of the compression equipment can be effectively reduced, or the compression equipment is prevented from generating surge, the compression equipment is prevented from being damaged, and the service life of the compression equipment is prolonged.
In certain embodiments, the surge data includes a frequency of the compression device, a vane opening of the compression device, and a surge pressure ratio of the compression device within a preset time period before the compression device surges.
In certain embodiments, the surge data collected and a surge model of the compression device are used to anti-surge control the compression device, comprising:
acquiring the current surge pressure ratio of the compression equipment according to the acquired current frequency of the compression equipment, the acquired current guide vane opening of the compression equipment and the acquired surge model of the compression equipment;
judging whether the difference value between the current surge pressure ratio and the current operation pressure ratio of the compression equipment is smaller than a first preset value or not;
and under the condition that the difference value is smaller than the first preset value, carrying out anti-surge control on the compression equipment.
In some embodiments, in the case where the difference value is less than the first preset value, performing anti-surge control on the compression apparatus includes:
and increasing the current frequency of the compression equipment under the condition that the difference value is smaller than the first preset value.
In some embodiments, in the case where the difference value is less than the first preset value, performing anti-surge control on the compression apparatus includes:
and under the condition that the difference value is smaller than the first preset value and the current frequency of the compression equipment is increased, reducing the current guide vane opening of the compression equipment.
In certain embodiments, iteratively updating a surge model of the compression device using the collected surge data comprises:
acquiring model parameters by using the collected surge data;
and establishing a new surge model according to the model parameters.
In certain embodiments, obtaining model parameters using the collected surge data comprises:
establishing a binary function by utilizing the collected surge data;
and calculating the model parameters of the binary function according to a least square method.
In some embodiments, the number of sets of surge data required to establish the binary function of order n is at least 2n +1 sets, n being a positive integer.
In certain embodiments, the anti-surge control method comprises:
judging whether the collected current surge data is effective or not;
and under the condition that the current surge data is effective, saving the current surge data.
In some embodiments, determining whether the collected current surge data is valid comprises:
and judging whether the current surge data is effective or not according to the current surge data, the stored surge data and the distance function.
The compression equipment comprises an acquisition module, a control module and an updating module, wherein the acquisition module is used for acquiring surge data of the compression equipment, the control module is used for carrying out anti-surge control on the compression equipment by using the acquired surge data and a surge model of the compression equipment, and the updating module is used for carrying out iterative updating on the surge model of the compression equipment by using the acquired surge data.
In the compression equipment of the embodiment, the collected surge data and the surge model of the compression equipment are used for carrying out anti-surge control on the compression equipment, and the collected surge data is used for carrying out iterative updating on the surge model of the compression equipment, so that the probability of surge generation of the compression equipment can be effectively reduced, or the compression equipment is prevented from generating surge, the compression equipment is prevented from being damaged, and the service life of the compression equipment is prolonged.
In certain embodiments, the surge data includes a frequency of the compression device, a vane opening of the compression device, and a surge pressure ratio of the compression device within a preset time period before the compression device surges.
In some embodiments, the control module is configured to obtain a current surge pressure ratio of the compression equipment according to the current frequency of the compression equipment, the current opening degree of the guide vane of the compression equipment, and a surge model of the compression equipment, determine whether a difference between the current surge pressure ratio and a current operating pressure ratio of the compression equipment is smaller than a first preset value, and perform anti-surge control on the compression equipment if the difference is smaller than the first preset value.
In some embodiments, the control module is configured to increase the current frequency of the compression device if the difference is less than the first preset value.
In certain embodiments, the control module is configured to decrease the current guide vane opening of the compression device if the difference is smaller than the first preset value and if the current frequency of the compression device is increased.
In some embodiments, the update module is configured to obtain model parameters using the collected surge data, and to establish a new surge model based on the model parameters.
In some embodiments, the update module is configured to establish a binary function using the collected surge data and to calculate model parameters of the binary function according to a least squares method.
In some embodiments, the number of sets of surge data required to establish the binary function of order n is at least 2n +1 sets, n being a positive integer.
In some embodiments, the compression device comprises a judging module and a storing module, wherein the judging module is used for judging whether the collected current surge data is effective or not; the storage module is used for storing the current surge data under the condition that the current surge data is effective.
In some embodiments, the determining module is configured to determine whether the current surge data is valid based on the current surge data, the stored surge data, and a distance function.
In certain embodiments of the present invention, it comprises a processor and a memory, said memory storing an anti-surge control program, said anti-surge control program being executed by said processor to implement the anti-surge control method of any of the above embodiments.
In the compression equipment of the embodiment, the collected surge data and the surge model of the compression equipment are used for carrying out anti-surge control on the compression equipment, and the collected surge data is used for carrying out iterative updating on the surge model of the compression equipment, so that the probability of surge generation of the compression equipment can be effectively reduced, or the compression equipment is prevented from generating surge, the compression equipment is prevented from being damaged, and the service life of the compression equipment is prolonged.
Additional aspects and advantages of embodiments of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flow chart illustrating an anti-surge control method according to an embodiment of the present invention.
Fig. 2 is a block schematic diagram of a compression apparatus according to an embodiment of the present invention.
Fig. 3 is another flow diagram of an anti-surge control method of an embodiment of the present invention.
Fig. 4 is a further flow diagram of an anti-surge control method of an embodiment of the present invention.
Fig. 5 is a further schematic flow diagram of the anti-surge control method of the embodiment of the present invention.
Fig. 6 is another block schematic diagram of a compression apparatus according to an embodiment of the present invention.
Fig. 7 is a schematic diagram of the distribution of surge data according to an embodiment of the present invention.
Fig. 8 is another schematic of a distribution of surge data for an embodiment of the present invention.
Fig. 9 is a schematic diagram of yet another module of a compression apparatus in accordance with an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the embodiments of the present invention, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, features defined as "first", "second", may explicitly or implicitly include one or more of the described features. In the description of the embodiments of the present invention, "a plurality" means two or more unless specifically limited otherwise.
In the description of the embodiments of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as being fixedly connected, detachably connected, or integrally connected; either directly or indirectly through intervening media, either internally or in any other relationship. Specific meanings of the above terms in the embodiments of the present invention can be understood by those of ordinary skill in the art according to specific situations.
The following disclosure provides many different embodiments or examples for implementing different configurations of embodiments of the invention. In order to simplify the disclosure of embodiments of the invention, the components and arrangements of specific examples are described below. Of course, they are merely examples and are not intended to limit the present invention. Furthermore, embodiments of the invention may repeat reference numerals and/or reference letters in the various examples, which have been repeated for purposes of simplicity and clarity and do not in themselves dictate a relationship between the various embodiments and/or arrangements discussed.
Referring to fig. 1 and 2, the anti-surge control method according to the embodiment of the present invention includes:
step S10, collecting surge data of the compression device 200;
step S20, using the collected surge data and the surge model of the compression equipment 200 to perform anti-surge control on the compression equipment 200;
in step S30, a surge model of the compression device 200 is iteratively updated using the collected surge data.
The anti-surge control method of the embodiment of the present invention can be implemented by the compression apparatus 200 of the embodiment of the present invention. The compression device 200 comprises an acquisition module 10, a control module 20 and an update module 30. The acquisition module 10 is used to acquire surge data of the compression device 200. The control module 20 is used to anti-surge control the compression device 200 using the collected surge data and a surge model of the compression device 200. The update module 30 is configured to iteratively update a surge model of the compression device 200 using the collected surge data.
In the anti-surge control method and the middle compression equipment 200 according to the above embodiments, the anti-surge control is performed on the compression equipment 200 by using the collected surge data and the surge model of the compression equipment 200, and the iterative update is performed on the surge model of the compression equipment 200 by using the collected surge data, so that the probability of the compression equipment 200 surging can be effectively reduced or the compression equipment 200 surging can be prevented, thereby preventing the compression equipment 200 from being damaged and prolonging the service life of the compression equipment 200.
Specifically, surge data of the compression device 200 may be collected while the compression device 200 is operating. The compression device 200 further comprises a frequency converter 210 and an electric actuator 220, and the frequency of the compression device 200 can be obtained by the frequency converter 210 from the compression device 200. The electric actuator 220 of the compression device 200 may be used to detect the guide vane opening of the compression device 200, and the guide vane opening of the compression device 200 may be fed back by the electric actuator 220 of the compression device 200.
In certain embodiments, the surge data includes a frequency of the compression device 200 within a preset time period before the compression device 200 surges, a vane opening of the compression device 200, and a surge pressure ratio of the compression device 200. The surge data described above may constitute a surge data group.
Specifically, the compression device 200 may include a centrifugal compression device, which may be a dual-stage centrifugal compressor. In the case that the compression equipment 200 is operated, if the compression equipment 200 operates to a surge point and a surge occurs, at this time, the frequency of the compression equipment 200, the opening degree of the guide vane of the compression equipment 200, and the surge pressure ratio of the compression equipment 200 within a preset time period before the compression equipment 200 generates the surge may be collected. In one example, the preset time period may be selected from a range of 10 to 20 seconds.
In some embodiments, the compression equipment 200 has a preset surge model at the time of factory shipment, and when the number of sets of collected surge data of the compression equipment 200 is small, the anti-surge control can be performed according to the preset surge model. When the number of times and time of the operation of the compression equipment 200 are more and more, the number of sets of the collected surge data of the compression equipment 200 is gradually increased, in this case, the preset surge model of the compression equipment 200 can be iteratively updated by using the collected surge data to form a surge mode more suitable for the current operation of the compression equipment 200, so that the surge point of the compression equipment 200 can be accurately predicted according to the surge model of the compression equipment 200 after iterative updating, and anti-surge control can be timely performed when the compression equipment 200 operates close to the surge point, so as to avoid the operation of the compression equipment 200 to the surge point or reduce the probability of the compression equipment 200 generating surge.
In some embodiments, the compression device 200 may also not have a pre-set surge model at the time of factory shipment. When the compression equipment is firstly operated after leaving the factory, surge data can be collected to establish a surge model, and then the established surge model is adopted to carry out surge control on the compression equipment 200.
Referring to fig. 3, in some embodiments, step S30 includes:
step S32, obtaining model parameters by using the collected surge data;
and step S34, establishing a new surge model according to the model parameters.
The anti-surge control method of the above embodiment may be implemented by the compression apparatus 200 of the embodiment of the present invention. The steps S32 and S34 can be implemented by the update module 30. The update module 30 is configured to obtain model parameters using the collected surge data, and to establish a new surge model according to the model parameters.
In this manner, the surge model of the compression device 200 can be iteratively updated accurately and quickly to make antisurge control using the surge model of the compression device 200 more accurate.
Specifically, in one embodiment, the model parameter may be a model parameter satisfying a predetermined relationship, which may be a network table established according to the collected surge data, and the surge model is continuously updated iteratively according to the network table. In another embodiment, the model parameters are model parameters of a binary function. It should be noted that the model parameters of the preset relationship may be set according to actual requirements, and are not limited herein.
Referring to fig. 4, in some embodiments, step S32 includes:
step S322, establishing a binary function by utilizing the collected surge data;
in step S324, model parameters of the binary function are calculated according to the least square method.
The anti-surge control method of the above embodiment may be implemented by the compression apparatus 200 of the embodiment of the present invention. The steps S322 and S324 can be implemented by the updating module 30. The update module 30 is configured to establish a binary function using the collected surge data and calculate a model parameter of the binary function according to a least squares method. Thus, the model parameters of the binary function can be rapidly and accurately acquired.
Specifically, the surge pressure ratio PR of the compression device 200sAs a function of the frequency F of the compression device 200 and the guide vane opening D of the compression device 200, i.e. PRsG (F, D), which can be expanded according to the taylor expansion of the binary function as:
PRs＝g(F，D)＝A0+A1F+A2F2+A3F3+…+B1D+B2D2+B3D3+…，
wherein A isi，BiThe model parameters are usually limited orders, the sample data is less, and the orders are small when the prediction precision is low; and when the sample data is more and the prediction precision is high, the order is large.
(Fi，Di，PRs) And i is 1, 2, 3.. m is a set of data points within a preset time length before surge is generated, which is recorded in the operation process of the compression device 200, and a fitting function is taken as a quadratic polynomial, namely:
PRs＝g(F，D)＝A0+A1F+A2F2+A3D+A4D2(formula 1) in the formula (I),
the collected surge data of the compression apparatus 200 is substituted into the above equation (formula 1) to obtain:
PRs1＝A0+A1F1+A2F1 2+A3D1+A4D1 2，
PRs2＝A0+A1F2+A2F2 2+A3D2+A4D2 2，
...
PRsm＝A0+A1Fm+A2Fm 2+A3Dm+A4Dm 2，
writing is in matrix form:
note the book
The least squares solution of the above-mentioned over-determined matrix equation is:
A＝(WTW)-1WTP，
from this, it can be seen that the model parameters for computing the binary function according to the least square method are: a ═ WTW)-1WTAnd P. Therefore, a new surge model is established based on the model parameters.
It should be noted that the number of groups of surge data required to establish the binary function of order n is at least 2n +1, and n is a positive integer.
In practical applications, the number of sets of surge data collected during the early stages of the compression facility 200 is small because there are fewer surge points. Therefore, when a 1 st order binary function is used to build a surge model for prediction, at least 3 sets of surge data are needed, and the model matrix is used
When a 2 nd order binary function is adopted to establish a surge model for prediction, at least 5 groups of surge data are needed. While miningWhen a 3-order binary function is used for establishing a surge model for prediction, at least 7 groups of surge data are needed. By analogy, when an n-order binary function is adopted to establish a surge model for prediction, at least 2n +1 groups of surge data are needed, and the model matrix at the moment
In practical applications, if the order number is too high, the amount of operations of the compression apparatus 200 may increase drastically, and thus, an upper limit of the order number may be set according to the processor of the compression apparatus 200. Preferably, the upper limit of the order of the binary function is 5, i.e., preferably, n ≦ 5.
Referring to fig. 5, in some embodiments, step S20 includes:
step S22, acquiring the current surge pressure ratio of the compression equipment 200 according to the acquired current frequency of the compression equipment 200, the current guide vane opening of the compression equipment 200 and the surge model of the compression equipment 200;
step S24, determining whether a difference between the current surge pressure ratio and the current operating pressure ratio of the compression device 200 is less than a first preset value;
in the case where the difference is less than the first preset value, step S26, the anti-surge control is performed on the compression apparatus 200.
The anti-surge control method of the above embodiment may be implemented by the compression apparatus 200 of the embodiment of the present invention. The steps S22, S24, and S26 can be implemented by the control module 20. The control module 20 is configured to obtain a current surge pressure ratio of the compression device 200 according to the collected current frequency of the compression device 200, the collected current opening degree of the guide vane of the compression device 200, and the collected surge model of the compression device 200, determine whether a difference between the current surge pressure ratio and the current operating pressure ratio of the compression device 200 is smaller than a first preset value, and perform anti-surge control on the compression device 200 when the difference is smaller than the first preset value.
In this way, by determining whether the difference between the current surge pressure ratio and the current operating pressure ratio of the compression device 200 is smaller than the first preset value, and performing anti-surge control on the compression device 200 under the condition that the difference is smaller than the first preset value, the anti-surge control can be accurately performed on the compression device 200, and the probability of surge of the compression device 200 is reduced.
It should be noted that the current frequency of the compression device 200 can be obtained by the frequency converter 210 of the compression device 200. The guide vane opening of the compression device 200 may be fed back by an electric actuator 220 of the compression device 200. The current operating pressure ratio of the compression device 200 is the ratio of the condenser pressure of the compression device 200 to the evaporator pressure of the compression device 200, and the condenser pressure can be read by the pressure sensor of the condenser and the evaporator pressure can be read by the pressure sensor of the evaporator. The compression device of the present embodiment may be applied to a centrifugal chiller.
Specifically, in one embodiment, the current frequency of the compression device 200 is F, the current vane opening of the compression device 200 is D, and the current operating surge data matrix is as follows from the matrix of the above equation (equation 1):
W*＝[1(F*)2D*(D*)2]，
it follows that the current surge pressure ratio of the compression device 200
Comprises the following steps:
in the present embodiment, the current surge pressure ratio is determined by
Whether the difference from the current operating pressure ratio of the compression apparatus 200 is less than a first preset value, and performing anti-surge control on the compression apparatus 200 in case that the difference is less than the first preset value, wherein the first preset value may be set according to actual conditions, which is not limited herein. In one example, the first preset value ranges from 0.01, 0.02]。
In certain embodiments, an anti-surge control method comprises: in case the difference is smaller than the first preset value, the current frequency of the compression device 200 is increased, and/or the current guide vane opening of the compression device 200 is decreased.
The anti-surge control method described above may be implemented by the control module 20. Wherein, in case the difference is smaller than the first preset value, the control module 20 is configured to increase the current frequency of the compression device 200 and/or decrease the current guide vane opening of the compression device 200.
In one embodiment, in case the difference is smaller than a first preset value, the current frequency of the compression device 200 is increased and the current guide vane opening of the compression device 200 is decreased.
In another embodiment, in case the difference is smaller than the first preset value, the current frequency of the compression device 200 is increased.
It can be understood that, in the case that the difference value is smaller than the first preset value, it indicates that the current operation state of the compression device 200 is close to the surge point, and in order to avoid surge, the current frequency of the compression device 200 may be increased, and since the load of the compression device 200 may be increased after the current frequency of the compression device 200 is increased, the load of the compression device 200 may also be reduced by reducing the opening degree of the guide vanes of the compression device 200.
In certain embodiments, an anti-surge control method comprises: judging whether the collected current surge data is effective or not; and under the condition that the current surge data is effective, saving the current surge data. The anti-surge control method of the above embodiment may be implemented by the compression apparatus 200 of the embodiment of the present invention.
Referring to fig. 6, the compressing apparatus 200 includes a determining module 40 and a storing module 50. The judging module 40 is used for judging whether the collected current surge data is effective. The saving module 50 is configured to save the current surge data if the current surge data is valid. In this manner, the accuracy of the surge model of the compression device 200 may be improved.
When the current surge data is invalid, the current surge data is not stored.
In some embodiments, determining whether the collected current surge data is valid comprises:
and judging whether the current surge data is effective or not according to the current surge data, the stored surge data and the distance function.
The anti-surge control method of the above embodiment can be implemented by the determination module 40 of the embodiment of the present invention. The judging module 40 is used for judging whether the current surge data is effective according to the current surge data, the saved surge data and the distance function.
Specifically, in order to increase the effectiveness of the surge data of the surge model and prevent the accuracy of the surge model from being affected by collecting too much data near a certain surge point, the distance function can refer to the following formula when comparing the detected current surge data with the stored surge data:
calculating new surge data (e.g., including the current frequency F of the compression device 200)iCurrent surge pressure ratio PR of compression device 200si) With stored sets of surge data (frequency F of the compression apparatus)jSurge pressure ratio PR of compression equipmentsj) If the distance between the new surge data and each set of stored surge data is greater than the preset threshold value d1, the new surge data is determined to be valid, and the new current surge data is used as the surge data of the surge model iteration update of the compression equipment 200.
As shown in fig. 7, if the surge data are all concentrated together, the fitted curve has a limited applicability. Since the range of application of the fitted curve is wider if the surge data is dispersed as shown in fig. 8, in the present embodiment, the accuracy of the surge model of the compression equipment 200 can be improved by determining that the new surge data is valid when the distances between the new surge data and the stored sets of surge data are both longer than d 1.
Referring to fig. 9, a compression apparatus 300 according to an embodiment of the present invention includes a processor 230 and a memory 240, wherein the memory 240 stores an anti-surge control program, and the anti-surge control program is executed by the processor 230 to implement the anti-surge control method according to any of the above embodiments. Wherein, the compressing device 300 further comprises a frequency converter 210 and an electric actuator 220.
In one embodiment, the antisurge control program is executed by the processor 240 to implement the steps of:
s10, collecting surge data of the compression equipment 300 under the condition that the compression equipment 300 operates;
s20, performing anti-surge control on the compression equipment 300 by using the collected surge data and a surge model of the compression equipment 300; and
s30, a surge model of the compression device 300 is iteratively updated using the collected surge data.
In the description herein, references to the description of the terms "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example" or "some examples" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, such as an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processing module-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection having one or more wires (control method), a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of embodiments of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and not to be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made in the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (17)
1. An anti-surge control method, comprising:
collecting surge data of compression equipment;
carrying out anti-surge control on the compression equipment by utilizing the collected surge data and a surge model of the compression equipment;
iteratively updating a surge model of the compression equipment by using the collected surge data;
the surge data comprises the frequency of the compression equipment within a preset time length before the compression equipment generates surge, the opening degree of a guide vane of the compression equipment and the surge pressure ratio of the compression equipment;
performing anti-surge control on the compression equipment by using the collected surge data and a surge model of the compression equipment, wherein the anti-surge control comprises the following steps:
acquiring the current surge pressure ratio of the compression equipment according to the acquired current frequency of the compression equipment, the acquired current guide vane opening of the compression equipment and the acquired surge model of the compression equipment;
judging whether the difference value between the current surge pressure ratio and the current operation pressure ratio of the compression equipment is smaller than a first preset value or not;
and under the condition that the difference value is smaller than the first preset value, carrying out anti-surge control on the compression equipment.
2. The anti-surge control method according to claim 1, wherein in case the difference value is smaller than the first preset value, performing anti-surge control on the compression apparatus comprises:
and increasing the current frequency of the compression equipment under the condition that the difference value is smaller than the first preset value.
3. The anti-surge control method according to claim 2, wherein in case the difference value is smaller than the first preset value, performing anti-surge control on the compression apparatus comprises:
and under the condition that the difference value is smaller than the first preset value and the current frequency of the compression equipment is increased, reducing the current guide vane opening of the compression equipment.
4. The anti-surge control method of claim 1, wherein iteratively updating a surge model of the compression device with the collected surge data comprises:
acquiring model parameters by using the collected surge data;
and establishing a new surge model according to the model parameters.
5. The anti-surge control method of claim 4, wherein obtaining model parameters using the collected surge data comprises:
establishing a binary function by utilizing the collected surge data;
and calculating the model parameters of the binary function according to a least square method.
6. The anti-surge control method according to claim 5, wherein the number of sets of surge data required to establish said binary function of order n is at least 2n +1 sets, n being a positive integer.
7. The anti-surge control method of claim 1, wherein the anti-surge control method comprises:
judging whether the collected current surge data is effective or not;
and under the condition that the current surge data is effective, saving the current surge data.
8. The anti-surge control method of claim 7, wherein determining whether the collected current surge data is valid comprises:
and judging whether the current surge data is effective or not according to the current surge data, the stored surge data and the distance function.
9. The compression equipment is characterized by comprising an acquisition module, a control module and an updating module, wherein the acquisition module is used for acquiring surge data of the compression equipment, and the surge data comprises the frequency of the compression equipment, the guide vane opening degree of the compression equipment and the surge pressure ratio of the compression equipment within a preset time length before the compression equipment generates surge; the control module is used for performing anti-surge control on the compression equipment by utilizing the collected surge data and a surge model of the compression equipment, and the updating module is used for performing iterative updating on the surge model of the compression equipment by utilizing the collected surge data; the control module is used for acquiring the current surge pressure ratio of the compression equipment according to the acquired current frequency of the compression equipment, the acquired current guide vane opening of the compression equipment and the acquired surge model of the compression equipment, judging whether the difference value between the current surge pressure ratio and the current operation pressure ratio of the compression equipment is smaller than a first preset value or not, and carrying out anti-surge control on the compression equipment under the condition that the difference value is smaller than the first preset value.
10. The compression device of claim 9, wherein the control module is configured to increase the current frequency of the compression device if the difference is less than the first preset value.
11. The compression apparatus of claim 10, wherein the control module is to decrease a current guide vane opening of the compression apparatus if the difference is less than the first preset value and if a current frequency of the compression apparatus is increased.
12. The compression apparatus of claim 9, wherein the update module is configured to obtain model parameters using the collected surge data and to establish a new surge model based on the model parameters.
13. The compression apparatus of claim 12, wherein the update module is configured to establish a binary function using the collected surge data and to calculate model parameters of the binary function according to a least squares method.
14. The compression apparatus of claim 13, wherein the number of sets of surge data required to establish said binary function of order n is at least 2n +1 sets, n being a positive integer.
15. The compression device of claim 9, comprising a determination module and a storage module, wherein the determination module is configured to determine whether the collected current surge data is valid; the storage module is used for storing the current surge data under the condition that the current surge data is effective.
16. The compression apparatus of claim 15, wherein the determination module is configured to determine whether the current surge data is valid based on the current surge data, the stored surge data, and a distance function.
17. A compression device comprising a processor and a memory, the memory storing an anti-surge control program, the anti-surge control program being executed by the processor to implement the anti-surge control method of any one of claims 1-8.
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| 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 |
| CN114688067B (en) * | 2022-04-12 | 2023-07-25 | 重庆美的通用制冷设备有限公司 | Method and device for detecting surge of compressor and electronic equipment |
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