Control method, device, equipment and medium of stepped cascade electric adjusting valve

Abstract

The invention relates to a control method, device, equipment and medium for stepped cascade electric adjusting valves, and belongs to the technical field of centrifugal separation of isotopes. The method comprises the steps that a preset pressure value and an actual pressure value corresponding to each electric adjusting valve are obtained; determining a pressure deviation value based on the preset pressure value and the corresponding actual pressure value; determining a pressure deviation change rate of the pressure deviation value based on the pressure deviation value; the pressure deviation value and the pressure deviation change rate serve as input values to be input into a fuzzy controller, output values are obtained, and the output values comprise # imgabs0 # and # imgabs1 #; superposing the output value with a set value of a controller to obtain an adjustment parameter; and the opening degree of each electric adjusting valve is adjusted based on the adjusting parameters, so that when the actual pressure value of one unit changes, the fuzzy controller adjusts the opening degrees of the electric adjusting valves of the other units according to the adjusting parameters, and the medium pressure in the low-vacuum medium environment is controlled. The pressure control device has the effect of effectively controlling the medium pressure.

Description

Technical Field

[0001] The present application relates to the technical field of centrifugal separation of isotopes, and in particular to a control method for a stepped cascade electric regulating valve. Background Art

[0002] In the field of centrifugal isotope separation technology, cascade systems play a vital role. Their safe and stable operation has a decisive impact on the efficiency and quality of isotope separation. During the operation of cascade systems, precise control of medium pressure is one of the key factors in ensuring stable and efficient operation of the system.

[0003] At present, PI control is generally used to control the pressure of stepped centrifugal cascade equipment under stable operating conditions. The PI control method has good control performance for linear steady-state systems. However, when the system experiences large disturbances, the original PI parameters are no longer the optimal control values. The actual opening of the electric control valve lags behind, causing large fluctuations in the control pressure, which is prone to large overshoot, long adjustment time, and poor control accuracy. If the overshoot is too large, the pressure will exceed the operating limit, causing accident protection, making it difficult to achieve the ideal control effect. Therefore, how to achieve effective control of the medium pressure has become an important problem that needs to be solved in the field of centrifugal separation isotope technology. Summary of the Invention

[0004] In order to achieve effective control of medium pressure, the present application provides a step-type cascade electric regulating valve control method.

[0005] In a first aspect, the present application provides a control method for a stepped cascade electric regulating valve, which adopts the following technical solution:

[0006] A control method for a stepped cascade electric regulating valve is provided, wherein the electric regulating valve is provided on a pipeline of each unit for conveying raw materials containing isotopes to be separated, and multiple units are connected in a stepped cascade manner, characterized by comprising:

[0007] Obtain the preset pressure value and actual pressure value corresponding to each electric regulating valve in real time;

[0008] determining a pressure deviation value based on the preset pressure value and the corresponding actual pressure value;

[0009] determining a pressure deviation change rate of the pressure deviation value based on the pressure deviation value;

[0010] The pressure deviation value and the pressure deviation change rate are input into the fuzzy controller as input values ​​to obtain an output value, which includes and ;

[0011] Superimposing the output value and the set value of the controller to obtain an adjustment parameter;

[0012] The opening of each electric regulating valve is adjusted based on the adjustment parameter, so that when the actual pressure value of one of the units changes, the fuzzy controller adjusts the opening of the electric regulating valves of other units according to the adjustment parameter, thereby controlling the medium pressure in the low vacuum medium environment.

[0013] Optionally, the construction of the transfer function of the fuzzy controller includes:

[0014] Obtain the valve opening of each electric regulating valve and the pressure value corresponding to the valve opening;

[0015] The valve opening and the pressure value corresponding to the valve opening are model identified using MATLAB tools to obtain a transfer function of the valve opening and the pressure value corresponding to the valve opening.

[0016] Optionally, the transfer function of the valve opening and the pressure value corresponding to the valve opening is:

[0017] , where G(s) is the transfer function and s is the Laplace transform variable.

[0018] Optionally, the construction of the fuzzy controller includes:

[0019] Obtaining input values ​​and output values, wherein the input values ​​include a preset pressure value and an actual pressure value, and the output values ​​include a sum;

[0020] Determining the fuzzy domain of the pressure deviation value and the pressure deviation change rate and the output value domain;

[0021] Establish triangle membership functions and and Fuzzy control rules;

[0022] Based on the established fuzzy control rules, we get and The fuzzy spatial response surface is constructed to complete the construction of the fuzzy controller.

[0023] Optionally, the fuzzy domain of the pressure deviation value and the pressure deviation change rate is [-1, 1], and the output value domain is [-0.1, 0.1].

[0024] Optional, establish and The fuzzy control rules include:

[0025] Dividing the fuzzy sets of the pressure deviation value and the pressure deviation change rate to establish a fuzzy control rule library;

[0026] The fuzzy control rule base includes NB, NM, NS, Z, PS, M and PB, wherein NB, NM, NS, Z, PS, M and PB represent negative large, negative medium, negative small, zero, positive small, positive medium and positive large respectively.

[0027] Optionally, the method further includes:

[0028] According to the constructed fuzzy control rules, the pressure deviation value and the pressure deviation change rate are used as inputs, and As output, it is converted into and The fuzzy control rule table.

[0029] In a second aspect, the present application provides a control device for a stepped cascade electric regulating valve, which adopts the following technical solution:

[0030] A control device for a stepped cascade electric regulating valve, wherein the electric regulating valve is arranged on a pipeline for each unit conveying raw materials containing isotopes to be separated, and multiple units are connected in a stepped cascade manner, comprising:

[0031] An acquisition module is used to obtain the preset pressure value and actual pressure value corresponding to each electric regulating valve in real time;

[0032] a first determining module, configured to determine a pressure deviation value based on the preset pressure value and the corresponding actual pressure value;

[0033] a second control module, configured to determine a pressure deviation change rate of the pressure deviation value based on the pressure deviation value;

[0034] An input module is used to input the pressure deviation value and the pressure deviation change rate as input values ​​into the fuzzy controller to obtain an output value, which includes and ;

[0035] A superposition module, configured to superpose the output value and the set value of the controller through fuzzy operation to obtain an adjustment parameter;

[0036] The adjustment module is used to adjust the opening of each electric control valve based on the adjustment parameters, so that when the actual pressure value of one of the units changes, the fuzzy controller adjusts the opening of the electric control valves of other units according to the adjustment parameters, thereby controlling the medium pressure in the low vacuum medium environment.

[0037] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0038] An electronic device comprises a processor and a memory, wherein the processor is coupled to the memory;

[0039] The processor is configured to execute a computer program stored in the memory, so that the electronic device executes the method according to any one of the first aspects.

[0040] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0041] A computer-readable storage medium comprises a computer program or instructions, which, when executed on a computer, causes the computer to execute the method according to any one of the first aspects.

[0042] In summary, this application has the following beneficial technical effects:

[0043] By obtaining the preset pressure value and the actual pressure value to determine the pressure deviation value, the difference between the actual pressure value and the preset pressure value can be accurately sensed. By calculating the pressure deviation change rate, the pressure change trend can be captured in time, so that the fuzzy controller can quickly determine the adjustment parameters according to the current deviation size and change trend, thereby more accurately controlling the medium pressure within the allowable range; the output value is superimposed with the controller's set value to obtain the adjustment parameter, thereby dealing with the uncertainty and nonlinear problems in the pressure control process, avoiding the insufficient control accuracy that may occur in traditional control methods when facing complex systems, improving the accuracy of adjusting the opening of the electric control valve, and thus improving the pressure control accuracy. The fuzzy controller can dynamically adjust the output according to the pressure deviation value and the pressure deviation change rate, adapt to changes in working conditions, and suppress pressure fluctuations in time, so that the system can still maintain stable operation under various interferences, reducing equipment failures and unexpected shutdowns caused by unstable pressure. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a flow chart of a control method of a stepped cascade electric regulating valve in an embodiment of the present application.

[0045] Figure 2 It is a schematic diagram of the cascade of units in the embodiment of the present application.

[0046] Figure 3 This is reflected in the embodiment of the present application Fuzzy spatial response surface of the ratio and integral.

[0047] Figure 4 This is reflected in the embodiment of the present application Fuzzy spatial response surface of the proportion and integration.

[0048] Figure 5 It is a schematic diagram showing the fuzzy control principle of the fuzzy controller in the embodiment of the present application.

[0049] Figure 6This is a schematic diagram of the OPC-based PI controller control in an embodiment of the present application.

[0050] Figure 7 This is a diagram showing the effects of the fuzzy controller and the PI controller when the unit 6 generates a 2 Torr disturbance in the embodiment of the present application.

[0051] Figure 8 This is a diagram showing the control effects of the fuzzy controller and the PI controller when the unit 6 generates a 4 Torr disturbance in an embodiment of the present application.

[0052] Figure 9 This is a diagram showing the effects of the fuzzy controller and the PI controller when the unit 12 generates a 2 Torr disturbance in an embodiment of the present application.

[0053] Figure 10 This is a diagram showing the control effects of the fuzzy controller and the PI controller when the unit 12 generates a 4 Torr disturbance in an embodiment of the present application.

[0054] Figure 11 This is a structural block diagram of a control device for a stepped cascade electric regulating valve in an embodiment of the present application.

[0055] Figure 12 It is a structural block diagram of an electronic device in an embodiment of the present application. DETAILED DESCRIPTION

[0056] The present application is further described in detail below with reference to the accompanying drawings.

[0057] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, those skilled in the art may make non-creative modifications to the present embodiment as needed, but as long as they are within the scope of the claims of the present application, they are protected by the patent law.

[0058] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0059] In this document, the term "and / or" simply describes a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " in this document, unless otherwise specified, generally indicates an "or" relationship between the related objects.

[0060] The embodiments of the present application are described in further detail below with reference to the accompanying drawings.

[0061] The present invention provides a control method for a stepped cascade electric control valve. This control method can be performed by an electronic device, which can be a server or a terminal device. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be, but is not limited to, a smartphone, a tablet computer, or a desktop computer.

[0062] like Figure 1 As shown, a control method for a stepped cascade electric regulating valve is described as follows (steps S101 to S106):

[0063] Step S101, obtaining the preset pressure value and actual pressure value corresponding to each electric regulating valve in real time;

[0064] like Figure 2 As shown, multiple units are connected in a stepped cascade manner. Figure 2 Where F is the isotope raw material supply pressure, i.e., the feed amount; W is lean material; P is fine material; 1, N, Nf, N-1, and N are the unit numbers; an electric regulating valve is provided on each unit's pipeline for conveying the isotope raw material to be separated; the pressure value in each unit is adjusted by the electric regulating valve corresponding to each unit; a pressure sensor is installed in each unit, and the pressure value detected by the pressure sensor of each unit is obtained through the DCS system; wherein the unit is a device for separating isotope raw materials; the pressure value detected by the pressure sensor is used as the actual pressure value; the pressure sensor sends the time pressure value to the fuzzy controller in real time, and each unit is set with a preset pressure value.

[0065] Step S102, determining a pressure deviation value based on a preset pressure value and a corresponding actual pressure value;

[0066] In this embodiment, the fuzzy controller obtains the actual pressure value in each unit and the preset pressure value of each unit in real time, calculates the pressure difference between the preset pressure value and the actual pressure value of each unit, and uses the pressure difference as the pressure deviation value to calculate the adjustment parameters of the electric control valve in real time according to the working conditions, thereby adjusting the opening of the electric control valve in real time according to the working conditions and the adjustment parameters.

[0067] The calculation formula of the pressure deviation value is e=P1(t)-P2(t), where e is the pressure deviation value, P1(t) is the actual pressure value, and P2(t) is the preset pressure value.

[0068] Step S103, determining a pressure deviation change rate of the pressure deviation value based on the pressure deviation value;

[0069] In this embodiment, the pressure deviation change rate is calculated using the pressure deviation value at the nth moment and the pressure deviation value at the (n-1)th moment.

[0070] The calculation formula for the pressure deviation change rate is ec=(e(n)-e(n-1)) / T, where ec is the pressure deviation change rate, e(n) is the pressure deviation value at the nth moment, and e(n-1) is the pressure deviation value at the n-1th moment.

[0071] Step S104: Input the pressure deviation value and the pressure deviation change rate as input values ​​into the fuzzy controller to obtain the output value. The output value includes and ;

[0072] In this embodiment, the pressure deviation value and the pressure deviation change rate are input into the fuzzy controller as input values, and the output value is obtained. and , so as to adaptively adjust the adjustment parameters in time according to the working conditions and achieve optimal control of the opening of the electric control valve.

[0073] The construction of the fuzzy controller is explained below.

[0074] The construction of the fuzzy controller includes the construction of the transfer function, wherein the construction of the transfer function of the fuzzy controller specifically includes: obtaining the valve opening of each electric control valve and the pressure value corresponding to the valve opening; using MATLAB tools to perform model identification on the valve opening and the pressure value corresponding to the valve opening, and obtaining the transfer function of the valve opening and the pressure value corresponding to the valve opening. The transfer function of the valve opening and the pressure value corresponding to the valve opening is: , where G(s) is the transfer function and s is the Laplace transform variable

[0075] In this embodiment, the valve inlet pressure value corresponding to the valve opening change outside the dead zone is recorded, wherein the relationship between the valve opening and the pressure value is shown in Table 1.

[0076] Table 1

[0077]

[0078] The MATLAB tool is used to perform model identification on the valve opening and the corresponding pressure value, and the transfer function of the valve opening and pressure value of the electric regulating valve is obtained as follows:

[0079] .

[0080] The construction of the fuzzy controller specifically includes: obtaining input values ​​and output values, the input values ​​include the preset pressure value and the actual pressure value, and the output values ​​include and ; Determine the fuzzy domain of pressure deviation value and pressure deviation change rate and the output value domain; Establish the triangle membership function and and Based on the established fuzzy control rules, we can get and The fuzzy spatial response surface is used to complete the construction of the fuzzy controller, where the fuzzy domain of the pressure deviation value and the pressure deviation change rate is [-1,1], and the output value domain is [-0.1,0.1].

[0081] Establish and The fuzzy control rules specifically include: dividing the fuzzy sets of pressure deviation values ​​and pressure deviation change rates, and establishing a fuzzy control rule base; wherein, the fuzzy control rule base includes NB, NM, NS, Z, PS, M and PB, wherein NB, NM, NS, Z, PS, M and PB represent negative large, negative medium, negative small, zero, positive small, positive medium and positive large, respectively.

[0082] In this embodiment, according to the constructed fuzzy control rules, the pressure deviation value and the pressure deviation change rate are used as inputs. and As output, it is converted into and The fuzzy control rule table.

[0083] Table 2 is the fuzzy control rule table.

[0084] Table 2

[0085] Where E is the pressure deviation value and EC is the pressure deviation change rate.

[0086] like Figure 3 As shown, according to the constructed fuzzy control rules, we can get The fuzzy spatial response surface of the proportion and integral, such as Figure 4 As shown, according to the constructed fuzzy control rules, we can get The fuzzy spatial response surface of proportion and integral is constructed to complete the construction of the fuzzy controller.

[0087] like Figure 5 As shown in the figure, the control principle of the fuzzy controller is explained. The input value and the output value are subtracted by the adder to obtain the pressure deviation value E. The pressure deviation value E is divided into two paths. One path directly enters the fuzzy controller, and the other path enters the fuzzy controller after calculating the pressure deviation change rate through the de / dt module. The PI controller output and , the fuzzy controller also outputs and , the output of the fuzzy controller and PI controller and The adjustment parameters for adjusting the PI controller are obtained by superimposing them respectively. The adjustment parameters act on the controlled object, and the controlled object generates a feedback value y, i.e., the output value. The feedback value y of the controlled object is returned to the adder through the feedback link to form a closed-loop control.

[0088] Step S105, superimposing the output value and the set value of the controller to obtain an adjustment parameter;

[0089] In step S106, the opening of each electric regulating valve is adjusted based on the adjustment parameter, so that when the actual pressure value of one unit changes, the fuzzy controller adjusts the opening of the electric regulating valve of other units according to the adjustment parameter to control the medium pressure in the low vacuum medium environment.

[0090] In this embodiment, the fuzzy controller adjusts the opening of the electric control valve by adjusting parameters to control the medium pressure in a low vacuum medium environment, so that the adjustment parameters can be self-corrected according to different pressure disturbances, and the pressure can be controlled within a safe range in time when a large disturbance occurs, thereby improving the stability and anti-interference performance of the pressure control.

[0091] In this embodiment, the use effect of the fuzzy controller is analyzed through online simulation verification.

[0092] In this embodiment, the PI controller model used on-site in the engineering project is restored in SIMULINK based on OPC technology. OPC (OLE for Process Control) is a standardized interface protocol used for data communication between devices in the industrial automation field. Its core goal is to solve the interoperability problem between devices / systems from different manufacturers. SIMULINK is a graphical dynamic system modeling and simulation platform based on MATLAB.

[0093] Figure 6 This is a schematic diagram of the OPC-based PI controller control. OPC Config Real-Time is the OPC configuration and real-time function. OPC Read means reading the DCS monitoring data, i.e., the unit's pressure value, through OPC. OPC Write means writing the adjustment parameters to the DCS monitoring data server through OPC.

[0094] The fuzzy controller designed based on the MATLAB offline simulation model is based on the OPC fuzzy controller for online real-time control. The control principle of the fuzzy controller is the same as that of the PI controller, except that the MATLAB PI controller (client) is replaced by the MATLAB fuzzy controller (client).

[0095] In order to verify the control effect when multi-stage pressure disturbances affect the end units, the PI controller of the electric regulating valve of unit 1 was replaced by a fuzzy controller. While ensuring that the feed pressure did not exceed the safety limit, pressure disturbances of 2 Torr and 4 Torr were input from the middle and rear units of the cascade system respectively every 15 seconds when the system was running under stable conditions. The changes in the lean feed pressure of unit 1 were observed, and the control effects of the fuzzy controller and the traditional PI controller were compared.

[0096] The pressure disturbances of 2 Torr and 4 Torr are input from unit 6 to unit 1 respectively. The control effects of the fuzzy controller and the traditional PI controller are as follows: Figure 7 and Figure 8 As shown, Figure 7 This is the effect diagram of the fuzzy controller control and PI controller control when unit 6 generates a 2Torr disturbance. Figure 8 This is a diagram showing the effects of fuzzy controller control and PI controller control when unit 6 generates a 4 Torr disturbance.

[0097] pass Figure 7 and Figure 8 It can be seen that when unit 6 generates a disturbance, when the fuzzy controller is used to control unit 1, the three indicators of adjustment time, overshoot and attenuation rate are better than the control quality of the PI controller, and the greater the disturbance, the more obvious the control advantage.

[0098] The pressure disturbances of 2 Torr and 4 Torr are input from unit 12 to unit 1 respectively. The control effects of the fuzzy controller and the traditional PI controller are as follows: Figure 9 and Figure 10 As shown, Figure 9 This is the effect diagram of the fuzzy controller and PI controller when the unit 12 generates a 2Torr disturbance. Figure 10 This is a diagram showing the effects of the fuzzy controller and the PI controller when unit 12 generates a 4-torr disturbance.

[0099] pass Figure 9 and Figure 10 It can be seen that after unit 12 generates a disturbance, when the fuzzy controller is used to control unit 1, the speed and accuracy indicators are significantly better than those of the PI controller, and the greater the disturbance, the more obvious the control advantage. Although the attenuation rate is reduced, the stability of the entire control process is still better than the control quality of the PI controller.

[0100] It should be noted that Figure 7 、 Figure 8 、 Figure 9 and Figure 10 In the figure, the red line is the PI controller and the blue line is the fuzzy controller.

[0101] Based on the simulation data of the three units, it can be seen that for the control and adjustment of the electric regulating valves in the step-type cascade system, the control quality of the fuzzy controller is better than that of the PI controller, and the control advantage becomes more obvious with the increase of disturbance and propagation level.

[0102] In this embodiment, in view of the poor control effect of the electric control valve of the cascade system when the disturbance is large, combined with the nonlinear and time-varying characteristics of the system, a fuzzy controller is used to realize online automatic adjustment of the adjustment parameters, and OPC technology is used to realize real-time communication of data between software, providing a data and model basis for the intelligent algorithm research of the electric control valve of the cascade system.

[0103] Through real-time dynamic simulation using MATLAB software and DCS simulation software, it can be seen that compared with the traditional PI controller, the fuzzy controller can automatically adjust the parameters in real time according to the changes in disturbances, allowing the system to enter a steady state faster, and the greater the disturbance, the more obvious the control advantage; when the disturbance is large, the system is obviously nonlinear and time-varying, and the control effect of the traditional PI controller is poor. The fuzzy controller has stronger anti-interference ability, shorter adjustment time, and better control effect.

[0104] Figure 11 This is a structural block diagram of a control device 200 for a stepped cascade electric regulating valve provided in this application. Figure 11 As shown, the control device 200 of the stepped cascade electric regulating valve mainly includes:

[0105] An acquisition module 201 is used to obtain the preset pressure value and actual pressure value corresponding to each electric regulating valve in real time;

[0106] A first determining module 202 is configured to determine a pressure deviation value based on the preset pressure value and the corresponding actual pressure value;

[0107] A second determining module 203 is configured to determine a pressure deviation change rate of the pressure deviation value based on the pressure deviation value;

[0108] The input module 204 is used to input the pressure deviation value and the pressure deviation change rate as input values ​​into the fuzzy controller to obtain an output value, which includes and ;

[0109] A superposition module 205 is used to superimpose the output value with the set value of the controller to obtain an adjustment parameter;

[0110] The adjustment module 206 is used to adjust the opening of each electric control valve based on the adjustment parameters, so that when the actual pressure value of one unit changes, the fuzzy controller adjusts the opening of the electric control valves of other units according to the adjustment parameters, thereby controlling the medium pressure in the low vacuum medium environment.

[0111] As an optional implementation of this embodiment, the control device 200 of the stepped cascade electric regulating valve further includes:

[0112] The pressure value acquisition module is used to obtain the valve opening of each electric regulating valve and the pressure value corresponding to the valve opening;

[0113] The identification module is used to perform model identification on the valve opening and the pressure value corresponding to the valve opening using MATLAB tools to obtain a transfer function of the valve opening and the pressure value corresponding to the valve opening.

[0114] As an optional implementation of this embodiment, the identification module is specifically configured to:

[0115] The transfer function between the valve opening and the pressure value corresponding to the valve opening is: , where G(s) is the transfer function and s is the Laplace transform variable.

[0116] As an optional implementation of this embodiment, the control device 200 of the stepped cascade electric regulating valve further includes:

[0117] The value acquisition module is used to obtain input values ​​and output values, wherein the input values ​​include preset pressure values ​​and actual pressure values, and the output values ​​include and ;

[0118] A determination module, configured to determine the fuzzy domain of the pressure deviation value and the pressure deviation change rate and the output value domain;

[0119] Create a module for establishing triangle membership functions and and Fuzzy control rules;

[0120] Get module, used to get the fuzzy control rules based on the established and The fuzzy spatial response surface is constructed to complete the construction of the fuzzy controller;

[0121] The fuzzy domains of the pressure deviation value and the pressure deviation change rate are [-1, 1], and the output value domain is [-0.1, 0.1].

[0122] In this optional embodiment, the establishment module is specifically used to:

[0123] The fuzzy sets of the pressure deviation value and the pressure deviation change rate are divided to establish a fuzzy control rule base; wherein, the fuzzy control rule base includes NB, NM, NS, Z, PS, M and PB, wherein NB, NM, NS, Z, PS, M and PB represent negative large, negative medium, negative small, zero, positive small, positive medium and positive large, respectively.

[0124] As an optional implementation of this embodiment, the control device 200 of the stepped cascade electric regulating valve further includes:

[0125] The conversion module is used to construct fuzzy control rules based on the pressure deviation value and the pressure deviation change rate as input. and As output, it is converted into and The fuzzy control rule table.

[0126] The various functional modules in the embodiments of the present application can be integrated together to form an independent part, or each module can exist separately, or two or more modules can be integrated to form an independent part. If the function is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for enabling an electronic device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of a control method for a stepped cascade electric control valve in each embodiment of the present application.

[0127] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and modules described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0128] Figure 12 This is a structural block diagram of an electronic device 300 provided in an embodiment of the present application. Figure 12 As shown, the electronic device 300 includes a memory 301, a processor 302, and a communication bus 303. The memory 301 and the processor 302 are connected via the communication bus 303. The memory 301 stores a control method for a stepped cascade electric regulating valve as provided in the above embodiment, which can be loaded and executed by the processor 302.

[0129] The memory 301 can be used to store instructions, programs, codes, code sets, or instruction sets. The memory 301 can include a program storage area and a data storage area. The program storage area can store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the control method for a stepped cascade electric control valve provided in the above embodiment. The data storage area can store data related to the control method for a stepped cascade electric control valve provided in the above embodiment.

[0130] The processor 302 may include one or more processing cores. The processor 302 calls the data stored in the memory 301 by running or executing the instructions, programs, code sets or instruction sets stored in the memory 301, and performs various functions and processes data of the present application. The processor 302 may be at least one of an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a central processing unit (CPU), a controller, a microcontroller and a microprocessor. It is understandable that for different devices, the electronic device used to implement the above-mentioned processor 302 function can also be other, and the embodiments of the present application are not specifically limited.

[0131] The communication bus 303 may include a path for transmitting information between the above components. The communication bus 303 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The communication bus 303 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 12 Only one double arrow is used, but it does not mean that there is only one bus or one type of bus.

[0132] An embodiment of the present application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed by a control method for a stepped cascade electric regulating valve as provided in the above embodiment.

[0133] In this embodiment, a computer-readable storage medium may be a tangible device that holds and stores instructions used by an instruction execution device. The computer-readable storage medium may be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof. Specifically, the computer-readable storage medium may be a portable computer disk, a hard disk, a USB flash drive, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a lectern random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disc (DVD), a memory stick, a floppy disk, an optical disc, a magnetic disk, a mechanical encoding device, or any combination thereof.

[0134] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0135] The above description is merely a preferred embodiment of the present application and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of application involved in this application is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalents without departing from the aforementioned application concept. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features with similar functions applied for in this application.

Claims

1. A control method for a stepped cascade electric regulating valve, wherein the electric regulating valve is arranged on a pipeline of each unit that conveys raw materials containing isotopes to be separated, and multiple units are connected in a stepped cascade manner, characterized in that: include: Obtain the preset pressure value and actual pressure value corresponding to each electric regulating valve in real time; determining a pressure deviation value based on the preset pressure value and the corresponding actual pressure value; determining a pressure deviation change rate of the pressure deviation value based on the pressure deviation value; The pressure deviation value and the pressure deviation change rate are input into the fuzzy controller as input values ​​to obtain an output value, which includes and ; Superimposing the output value and the set value of the controller to obtain an adjustment parameter; The opening of each electric regulating valve is adjusted based on the adjustment parameter, so that when the actual pressure value of one of the units changes, the fuzzy controller adjusts the opening of the electric regulating valves of other units according to the adjustment parameter, thereby controlling the medium pressure in the low vacuum medium environment.

2. The method according to claim 1, characterized in that The construction of the transfer function of the fuzzy controller includes: Obtain the valve opening of each electric regulating valve and the pressure value corresponding to the valve opening; The valve opening and the pressure value corresponding to the valve opening are model identified using MATLAB tools to obtain a transfer function of the valve opening and the pressure value corresponding to the valve opening.

3. The method according to claim 2, characterized in that The transfer function between the valve opening and the pressure value corresponding to the valve opening is: , where G(s) is the transfer function and s is the Laplace transform variable.

4. The method according to claim 1, wherein The construction of the fuzzy controller includes: Get input value and output value, the input value includes preset pressure value and actual pressure value, the output value includes and ; Determining the fuzzy domain of the pressure deviation value and the pressure deviation change rate and the output value domain; Establish triangle membership functions and and Fuzzy control rules; Based on the established fuzzy control rules, we get and The fuzzy spatial response surface is constructed to complete the construction of the fuzzy controller.

5. The method according to claim 4, characterized in that The fuzzy domain of the pressure deviation value and the pressure deviation change rate is [-1, 1], and the output value domain is [-0.1, 0.1].

6. The method according to claim 4, characterized in that Establish and The fuzzy control rules include: Dividing the fuzzy sets of the pressure deviation value and the pressure deviation change rate to establish a fuzzy control rule library; The fuzzy control rule base includes NB, NM, NS, Z, PS, M and PB, wherein NB, NM, NS, Z, PS, M and PB represent negative large, negative medium, negative small, zero, positive small, positive medium and positive large respectively.

7. The method according to claim 6, characterized in that The method further comprises: According to the constructed fuzzy control rules, the pressure deviation value and the pressure deviation change rate are used as inputs, and As output, it is converted into and The fuzzy control rule table.

8. A control device for a stepped cascade electric regulating valve, characterized in that: The electric regulating valve is installed on the pipeline of each unit that transports the raw materials containing the isotopes to be separated. Multiple units are connected in a stepped cascade manner, including: An acquisition module is used to obtain the preset pressure value and actual pressure value corresponding to each electric regulating valve in real time; a first determining module, configured to determine a pressure deviation value based on the preset pressure value and the corresponding actual pressure value; a second control module, configured to determine a pressure deviation change rate of the pressure deviation value based on the pressure deviation value; An input module is used to input the pressure deviation value and the pressure deviation change rate as input values ​​into the fuzzy controller to obtain an output value, which includes and ; A superposition module, configured to superimpose the output value with a set value of the controller to obtain an adjustment parameter; The adjustment module is used to adjust the opening of each electric control valve based on the adjustment parameters, so that when the actual pressure value of one of the units changes, the fuzzy controller adjusts the opening of the electric control valves of other units according to the adjustment parameters, thereby controlling the medium pressure in the low vacuum medium environment.

9. An electronic device, characterized in that: comprising a processor and a memory, wherein the processor is coupled to the memory; The processor is configured to execute the computer program stored in the memory, so that the electronic device performs the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The method comprises a computer program or an instruction, which, when executed on a computer, causes the computer to execute the method according to any one of claims 1 to 7.

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