Models, parameter determination methods, apparatus, storage media, and electronic devices based on operating parameters

Abstract

This invention relates to a model and parameter determination method, apparatus, storage medium, and electronic device based on operating parameters, comprising: determining the target modeling range; establishing a transfer function model of the controlled object and a transfer function model of the control system; validating the control object and control system transfer function models according to set verification parameters; correcting the control object and control system transfer function models based on field measurement data to obtain the target transfer function models of the controlled object and control system; optimizing parameters and selecting debugging methods based on the target transfer function models of the controlled object and control system to obtain target parameters and target debugging methods; and determining tuning parameters and control logic based on the target parameters and target debugging methods. This invention provides effective quantitative parameters, reduces the number of experiments, saves debugging time, and solves the problem of large modeling range in existing methods.

Description

Technical Field

[0001] This invention relates to the technical field of nuclear power plant control systems, and more specifically, to a model, parameter determination method, apparatus, storage medium, and electronic device based on operating parameters. Background Technology

[0002] The control systems of existing nuclear power plants are complex, and the rationality of most important regulation parameter settings needs to be verified through commissioning experiments during the cold and hot commissioning of the power plant. If the experiment reveals that the parameter design is unreasonable, especially the parameter tuning of atypical PID (with multiple parameter corrections, multi-factor feedforward and compensation, etc.), it is impossible to locate the influence of key parameters and set reasonable parameters in a single test. Multiple tests are required. This process needs to be combined with the commissioning window, unit status and other conditions, which will increase the workload of commissioning personnel. At the same time, frequent tests can also cause irreversible damage to the equipment. In the subsequent operation and maintenance of the power plant, there are also parameter tuning problems, which can only be tested during the critical overhaul window.

[0003] Currently, on-site commissioning and power plant operation and maintenance personnel can determine and optimize control logic or tuning parameters based on test or operating parameters obtained during the power plant system commissioning process. However, this method only provides qualitative analysis through pure theory and cannot provide quantitative parameters. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a model based on operating parameters and a method, apparatus, storage medium and electronic device for determining parameters, in view of the problems existing in the prior art.

[0005] The technical solution adopted by this invention to solve its technical problem is as follows: Constructing a model and parameter determination method based on operating parameters, comprising the following steps: determining the target modeling range; establishing a control object transfer function model based on the target modeling range and combined with steady-state operating conditions and design parameters; establishing a control system transfer function model according to the control logic diagram and the operating parameters of the steady-state operating conditions; validating the control object transfer function model and the control system transfer function model according to set verification parameters; correcting the control object transfer function model and the control system transfer function model according to field measured data to obtain the target transfer function model of the control object and the target transfer function model of the control system; performing parameter optimization and debugging method selection based on the target transfer function model of the control object and the target transfer function model of the control system to obtain target parameters and target debugging methods; and determining tuning parameters and control logic based on the target parameters and the target debugging methods.

[0006] The determination of the target modeling scope includes: acquiring flowchart information, control measurement information, and equipment structure information; and determining the target modeling scope based on the flowchart information, the control measurement information, and the equipment structure information.

[0007] The step of establishing a control object transfer function model based on the target modeling range and in combination with steady-state operating conditions and design parameters includes: obtaining steady-state operating conditions and design parameters; dividing the control volume based on the target modeling range and the steady-state operating conditions and design parameters; and modeling the divided control volume to obtain the control object transfer function model.

[0008] The step of establishing a control system transfer function model based on the control logic diagram and the operating parameters of the steady-state operating point includes: obtaining the control logic diagram; obtaining the operating parameters of the steady-state operating point; and modeling based on the control logic diagram and the operating parameters of the steady-state operating point to obtain the control system transfer function model.

[0009] The step of validating the transfer function model of the controlled object and the transfer function model of the control system according to the set verification parameters includes: obtaining the set verification parameters; verifying the transfer function model of the controlled object and the transfer function model of the control system using the set verification parameters to obtain the verification result; determining whether the transfer function model of the controlled object and the transfer function model of the control system are valid based on the verification result; if valid, saving the transfer function model of the controlled object and the transfer function model of the control system; if invalid, adjusting the parameters and remodeling according to the adjusted parameters until the validity is satisfied.

[0010] The step of correcting the transfer function model of the controlled object and the transfer function model of the control system based on field measurement data to obtain the target transfer function model of the controlled object and the target transfer function model of the control system includes: verifying the field measurement data to determine the adjustment scheme of the controlled object and the control system; and obtaining the target transfer function model of the controlled object and the target transfer function model of the control system based on the adjustment scheme of the controlled object and the control system and the corrected transfer function model of the controlled object and the control system.

[0011] The step of identifying and determining the adjustment scheme of the controlled object and the control system based on the field measurement data includes: verifying the transfer function model of the control system based on the field measurement data to obtain the verification result of the control system transfer function model; verifying the transfer function model of the controlled object based on the field measurement data to obtain the verification result of the control object transfer function model; and analyzing the verification results of the control system transfer function model and the control object transfer function model to determine the adjustment scheme of the controlled object and the control system.

[0012] The present invention also provides a model and parameter determination device based on operating parameters, comprising:

[0013] The system comprises the following units: a modeling range determination unit for determining the target modeling range; a controlled object modeling unit for establishing a control object transfer function model based on the target modeling range and in conjunction with steady-state operating conditions and design parameters; a control system modeling unit for establishing a control system transfer function model based on the control logic diagram and the operating parameters of the steady-state operating conditions; a model verification unit for validating the control object transfer function model and the control system transfer function model according to set verification parameters; a model identification unit for correcting the control object transfer function model and the control system transfer function model based on field measured data to obtain the target transfer function model of the control object and the target transfer function model of the control system; a selection unit for selecting parameter optimization and debugging methods based on the target transfer function model of the control object and the target transfer function model of the control system to obtain target parameters and target debugging methods; and a parameter and logic determination unit for determining tuning parameters and control logic based on the target parameters and the target debugging methods.

[0014] The present invention also provides a storage medium storing a computer program adapted for loading by a processor to execute the steps of the model and parameter determination method based on operating parameters as described above.

[0015] The present invention also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the steps of the model and parameter determination method based on operating parameters as described above by calling the computer program stored in the memory.

[0016] The implementation of the model and parameter determination method, apparatus, storage medium and electronic device based on operating parameters of the present invention has the following beneficial effects: the present invention can provide effective quantitative parameters, reduce the number of experiments, save debugging time, and also solve the problem of large modeling range in existing methods. Attached Figure Description

[0017] The present invention will be further described below with reference to the accompanying drawings and embodiments. In the accompanying drawings:

[0018] Figure 1 This is a flowchart illustrating the model and parameter determination method based on operating parameters provided by the present invention;

[0019] Figure 2 This is a schematic diagram of the structure of the target modeling range provided by the present invention;

[0020] Figure 3 This is a structural diagram of the heat exchanger provided by the present invention;

[0021] Figure 4 This is a schematic diagram of the heat exchanger control body provided by the present invention;

[0022] Figure 5 This is the control logic diagram provided by the present invention;

[0023] Figure 6 This is a schematic diagram of the target transfer function model of the controlled object and the target transfer function model of the control system provided by the present invention;

[0024] Figures 7-18 This is a schematic diagram illustrating the verification results of different adjustment schemes provided by the present invention;

[0025] Figures 19-43 This is a graph showing the test results of the parameter optimization and debugging method selection provided by this invention;

[0026] Figure 44 This is a principle block diagram of the model and parameter determination device based on operating parameters provided by the present invention. Detailed Implementation

[0027] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] To address the issues of existing debugging or maintenance processes only providing qualitative analysis conclusions without theoretically supported effective parameters and having a large modeling scope, this invention provides a model and parameter determination method based on operating parameters. This method can provide theoretically supported effective parameters, locate the main key influencing parameters of multi-parameter control systems, reduce the number of experiments, save debugging time, and significantly narrow the modeling scope. It solves the problems of existing control models and methods having a large modeling scope and high-order theoretical models that cannot be directly applied to engineering modifications.

[0029] For details, please refer to Figure 1 , Figure 1 This is a flowchart illustrating a preferred embodiment of the model and parameter determination method based on operating parameters provided by the present invention. Figure 1 As shown, the model and parameter determination method based on operating parameters include the following steps:

[0030] Step S101: Determine the target modeling scope.

[0031] In this embodiment of the invention, determining the target modeling range includes: acquiring flowchart information, control measurement information, and equipment structure information; and determining the target modeling range based on the flowchart information, control measurement information, and equipment structure information. Specifically, by analyzing the flowchart information, control measurement information, and equipment structure information, the range of minimum correlation can be determined, thereby determining the target modeling range. That is, this invention provides a modeling method based on relevant parameters, requiring only the selection of the range of minimum correlation for the controlled variable to establish the model. In a specific embodiment, such as... Figure 2 As shown, the area within the green dashed box represents the target modeling area.

[0032] Step S102: Based on the target modeling range and combined with the steady-state operating conditions and design parameters, establish the transfer function model of the control object.

[0033] In this embodiment of the invention, establishing a control object transfer function model based on the target modeling range and combined with steady-state operating conditions and design parameters includes: obtaining the steady-state operating conditions and design parameters; dividing the control volume based on the target modeling range, steady-state operating conditions, and design parameters; and modeling the divided control volume to obtain the control object transfer function model. Specifically, taking... Figure 2 For example, after determining the minimum modeling range (i.e., the target modeling range), based on the target modeling range, first determine the controlled parameter (downward discharge temperature setpoint, 50℃), then determine the actuator RCV1237VN / 1247VN, and the two-stage heat exchange: regenerative heat exchanger RCV6220EX, and downward discharge heat exchanger RCV1230 / 1240EX; based on the above structure and related operating parameters, establish the control object transfer function. The structure of the heat exchanger is as follows... Figure 3 As shown, the operating parameters and design parameters are shown in Tables 1 to 3 below.

[0034] Table 1: Operating Parameters of Regenerative Heat Exchanger

[0035]

[0036] Table 2 Operating Parameters of the Lower-Discharge Heat Exchanger

[0037]

[0038] Table 3 Modeling Parameters for Lower Heat Dissipation Temperature

[0039]

[0040]

[0041] Based on the specific structure and working mechanism of the regenerative heat exchanger, the control system is divided as follows: Figure 4 As shown. To improve the accuracy of the heat transfer model, the fluid on the downflow pipe side is divided into 20 control volumes, which are named as follows:

[0042] RS1 to RS20. Correspondingly, the upper charge shell side and the heat exchange tube wall are divided into 20 control bodies. The upper charge shell side has 20 control bodies, including control bodies RP1 (corresponding to the lower drain tube side RS1) to RP20 (corresponding to the lower drain tube side RS20). The heat exchange tube wall has 20 control bodies, namely RM1 (corresponding to the lower drain tube side RS1) to RM20 (corresponding to the lower drain tube side RS20). The lower drain flow is drawn from the cold section of the primary loop system and enters the regenerative heat exchanger control body RS1 through the lower drain pipe S1. After heat exchange, the lower drain flow is split from the outlet of control body RS20 through the lower drain pipe S2 and enters the non-regenerative heat exchanger. The upper charge flow passes through the upper charge pump and the upper charge flow regulating valve, and enters the regenerative heat exchanger control body RP20 through the upper charge pipe P1. After heat exchange, the upper charge flow is split from the outlet of control body RP1 through the upper charge pipe P2 and enters the primary loop system.

[0043] Step S103: Based on the control logic diagram and the operating parameters at the steady-state operating point, establish the transfer function model of the control system.

[0044] In this embodiment of the invention, establishing a control system transfer function model based on the control logic diagram and the operating parameters at the steady-state operating point includes: obtaining the control logic diagram; obtaining the operating parameters at the steady-state operating point; and modeling based on the control logic diagram and the operating parameters at the steady-state operating point to obtain the control system transfer function model. Specifically, in this embodiment of the invention, based on the existing control logic diagram, the operating parameters at the steady-state operating point are combined, i.e. Figure 5 The relevant parameters displayed in the diagram are used to model the control system transfer function model.

[0045] Step S104: Verify the validity of the transfer function model of the controlled object and the transfer function model of the control system according to the set verification parameters.

[0046] In this embodiment of the invention, validating the transfer function model of the controlled object and the transfer function model of the control system according to the set verification parameters includes: obtaining the set verification parameters; verifying the transfer function model of the controlled object and the transfer function model of the control system using the set verification parameters, and obtaining the verification result; determining whether the transfer function model of the controlled object and the transfer function model of the control system are valid based on the verification result; if valid, saving the transfer function model of the controlled object and the transfer function model of the control system; if invalid, adjusting the parameters and remodeling according to the adjusted parameters until the validity is satisfied. Optionally, in this embodiment of the invention, the set verification parameters can be set according to the actual object and system. For example, flow rate, step, etc. can be set to verify the established model, that is, the set parameters are input into the transfer function model of the controlled object and the transfer function model of the control system respectively, and then the validity is determined according to the output result. The validity needs to be determined according to the actual needs of the object and the system.

[0047] Step S105: Based on the field measurement data, revise the transfer function model of the controlled object and the transfer function model of the control system to obtain the target transfer function model of the controlled object and the target transfer function model of the control system.

[0048] In this embodiment of the invention, the target transfer function model of the controlled object and the control system is as follows: Figure 6 As shown. Specifically, based on field measurement data, the transfer function models of the controlled object and the control system are modified to obtain the target transfer function models of the controlled object and the control system. This includes: verifying the control object and the control system based on field measurement data to determine the adjustment scheme; and identifying and modifying the transfer function models of the controlled object and the control system based on the adjustment scheme to obtain the target transfer function models of the controlled object and the control system. Specifically, identifying and determining the adjustment scheme based on field measurement data includes: verifying the transfer function model of the control system based on field measurement data to obtain the verification results; verifying the transfer function model of the controlled object based on field measurement data to obtain the verification results; and analyzing the verification results of the control system transfer function model and the control object transfer function model to determine the adjustment scheme for the controlled object and the control system.

[0049] Step S106: Based on the target transfer function model of the controlled object and the target transfer function model of the control system, perform parameter optimization and select debugging methods to obtain target parameters and target debugging methods.

[0050] Specifically, such as Figure 6As shown, the target transfer function model of the controlled object includes: a cooling water regulating valve, cooling water management, and a drain heat exchanger. The target transfer function model of the control system includes: a PI controller and a temperature measurement module. The input to the target transfer function model of the control system is the deviation between the drain temperature setpoint (50℃) and the measured temperature by the temperature measurement module; the output of the target transfer function model of the control system is the valve position requirement value. The input to the target transfer function model of the controlled object is the output of the target transfer function model of the control system, i.e., the valve position requirement value; the output of the target transfer function model of the controlled object is the drain temperature, which can be measured by the temperature measurement module. Specifically, as... Figure 6 As shown, firstly, the hysteresis between the output of the field PI controller and the discharge temperature is analyzed. The analysis reveals a hysteresis of approximately 30 seconds between the field PI controller output and the discharge temperature. Secondly, the hysteresis between the field cooling water flow rate and the discharge temperature is analyzed. The analysis reveals a hysteresis of approximately 80 seconds between changes in discharge temperature and changes in cooling water flow rate. To simulate the oscillation of the discharge temperature, the control system and the controlled object are analyzed. In the Simulink model, for the control system, the discharge temperature is simulated as a sine wave with a period of 240 seconds and an amplitude of 2.5. The delay between the discharge temperature curve in the model and the controller output valve position demand value is then calculated. Figure 1 The delays in the simulation were compared. For the pipeline and the downstream heat exchanger, the cooling water flow rate was simulated as a sine wave with a period of 240s and an amplitude of 1. The delays of the downstream temperature curve and the required valve position value of the PI controller output in the model were compared with the measured delays. Appropriate pure time delay elements and first-order inertial elements were added at suitable positions in the PI controller and the controlled object in the Simulink model to make the delays in the model consistent with the delays shown on the field diagram. Based on the above principles, a total of 8 adjustment schemes were determined, as follows. Among them, schemes 6 to 8 considered the downstream temperature measurement response time.

[0051]

[0052]

[0053] Specifically, regarding model adjustments:

[0054] 1. Adjust the PI controller:

[0055] Since the output valve position requirement of the control system has a delay of about 30 seconds in relation to the actual temperature measurement, a first-order inertial element or a pure time delay element needs to be added to the control system in the Simulink model to simulate the actual situation.

[0056] Option 1: Add a first-order inertial element with a time constant of 15s before the PI controller. The comparison curve between the discharge temperature and the PI controller output is shown below. Figure 7 As shown, blue represents the discharge temperature, and red represents the valve position requirement output by the PI controller. The delay is 30 seconds, consistent with the delay shown in the provided field diagram. Connecting the adjusted control system to the unadjusted control object model, the steady-state curve of the discharge temperature is shown below. Figure 8 As shown, the fluctuation in discharge temperature cannot be reproduced. Solution 2: Add a 15s pure time delay before the "PI controller". The comparison curve of discharge temperature and valve position requirement output by the PI controller is shown below. Figure 8 As shown, blue represents the discharge temperature, and red represents the controller output valve position requirement. The delay is 30 seconds, consistent with the delay shown in the provided field diagram. Connecting the adjusted control system to the unadjusted control object model, the steady-state condition is as follows... Figure 9 As shown. Therefore, adjusting the PI controller alone cannot reproduce the situation of shunt temperature fluctuations, such as... Figure 10 As shown.

[0057] 2. Adjustments to the controlled object:

[0058] Figure 11 The response curves for the cooling water flow regulating valve are shown below, with a valve position input period of 240s, an amplitude of 4%, and a sine wave, and the discharge temperature (blue for valve position, red for discharge temperature). The valve position input period is 240s, and the amplitude is 4% for the sine wave. The discharge temperature change lags the valve position change by approximately 40s, while the actual lag from cooling water flow rate change to discharge temperature change is nearly 80s. Therefore, a first-order inertial element or a pure time delay element needs to be added to the device to simulate the actual situation. Solution 3: Add a first-order inertial element with a time constant of 50s and an 8s pure time delay to the flow rate change at the cooling water pipeline, and connect it to the control system adjusted according to Solution 2. The steady-state curve of the discharge temperature is shown below. Figure 12 As shown. The period is approximately 200s, the amplitude gradually increases, and it tends to diverge. Scheme 4: Add a first-order inertial element with a time constant of 50s and an 8s pure time delay to the flow rate change at the cooling water pipe. This ensures that the time delay reflected in the Simulink model and the field diagram corresponds. For example... Figure 13 As shown. With the control system adjusted according to Scheme 1, the steady-state output of the discharge temperature is as follows: Figure 14 As shown, the oscillation period is approximately 220 seconds, which is close to the effect of the temperature oscillation at the site. Further adjustments will be made based on this.

[0059] 3. Adjust the controlled object based on Scheme 4.

[0060] After multiple tests adjusting the time constant of the first-order inertial element, it was found that increasing the time constant of the first-order inertial element lengthens the steady-state oscillation period of the discharge temperature. Furthermore, if only the first-order inertial element is added without a pure time delay, the discharge temperature will not oscillate; only the addition of a suitable pure time delay will cause the discharge temperature to oscillate. Solution 5: Add a first-order inertial element with a time constant of 15s before the "PI controller," and add a first-order inertial element with a time constant of 60s and an 8s pure time delay at the flow rate change in the cooling water pipe. For example... Figure 15 As shown, the steady-state oscillation period of the discharge temperature is approximately 240 seconds, which is similar to the actual situation on site.

[0061] 4. Consider the response time of the temperature measuring point:

[0062] Option 6: Verification showed the temperature measuring instrument's response time to be 21 seconds. Therefore, based on Option 5, a first-order inertial element with a time constant of 21 seconds needs to be added to the "temperature measurement module." The steady-state temperature curve is shown below. Figure 16 As shown, the oscillation period is approximately 320s, and the amplitude is approximately 25. Scheme 7: Consider removing the pure time delay element during testing. Add a first-order inertial element with a time constant of 15s before the "PI controller," a first-order inertial element with a time constant of 21s before the "temperature measurement module," and a first-order inertial element with a time constant of 60s between the "cooling water pipe" and the "downward discharge heat exchanger." The steady-state downward discharge temperature curve is shown below. Figure 17 As shown, the oscillation period is approximately 250s, and the amplitude is too large. Scheme 8: Through analysis of the closed-loop transfer function of the system, let the transfer function of the PI controller be P1(s), the transfer function of the cooling water regulating valve be P2(s), the transfer function of the cooling water pipeline be P3(s), the transfer function of the downflow heat exchanger be P4(s), and the transfer function of the temperature measurement module be H(s).

[0063] Scheme 5 has largely replicated the on-site situation, and the closed-loop transfer function of the system at this point can be expressed as:

[0064]

[0065] After adding a first-order inertial element with a time constant of 21s to the "temperature measurement module", the system closed-loop transfer function becomes:

[0066]

[0067] To ensure that the period and amplitude of the oscillations in the new transfer function are essentially consistent with those of the original transfer function, adjustments need to be made to the first-order inertial element and the pure time-delay element added in Scheme 5. Since no further adjustments are needed to the control system, only the first-order inertial element is added to the object. and pure lag e -8sAdjustments are needed. Since the oscillation periods are the same when the poles of the two transfer functions are identical, it is only necessary to ensure that the denominators of the two transfer functions are identical. To keep the denominators of the two transfer functions consistent, it is only necessary to adjust the first-order inertial element... Modified to Therefore, Scheme 8 is as follows: Add a first-order inertial element with a time constant of 15s before the "PI controller," add a first-order inertial element with a time constant of 21s to the "temperature measurement module," and add a [missing information - likely a component or element] between the "cooling water pipe" and the "downward heat exchanger." And an 8s pure time lag element. The steady-state curve of the discharge temperature is as follows. Figure 18 As shown.

[0068] Furthermore, to obtain the optimal solution, logical optimization and effect comparison can be performed, as follows:

[0069] Adjustment Scheme 1: Add a lead / lag element after the temperature measurement module, with τ1 > τ2, to act as a lead element, so that the PI controller responds ahead to overcome the system time lag problem.

[0070] 1. Leading / Lagging Links Remove the cooling water feedforward effect (tests suggest that cooling water flow feedforward has a negative gain on the control effect).

[0071] (1) A 10% (0.735 kg / s) disturbance was introduced at 4000 s for the discharge flow rate ramp. The discharge temperature response curve is shown below. Figure 19 As shown. By Figure 19 It can be seen that there is a steady-state error, which is caused by the 1% adjustment dead zone of the valve. Figure 20 This represents the valve position requirement value output by the PI controller. The valve position curve is as follows: Figure 21 As shown. The feedforward signal for the outflow is as follows. Figure 22 As shown in the figure, the influence of the downstream flow feedforward signal on the control is relatively small. The inlet temperature feedforward signal is as follows: Figure 23 As shown. By Figure 23 It can be seen that the inlet temperature feedforward signal has a relatively small impact on the control. The feedback signal is as follows: Figure 24 As shown. By Figure 24 It can be seen that feedback plays a major role. (2) Based on the site diagram, the following disturbances are introduced (such as...). Figure 25 (As shown): The discharge flow rate first decreases by 10% and then rises back to its original steady-state value. The discharge temperature response is as follows: Figure 26 As shown.

[0072] 2. Leading / Lagging Links Add a cooling water flow feedforward signal. The discharge temperature oscillates with a period of approximately 160 seconds, such as... Figure 27 As shown.

[0073] Cooling water flow feedforward signal, such as Figure 28 As shown (keeping the valve constantly adjusting). The feedback signal is as follows: Figure 29 As shown. By Figure 28 and Figure 29 It can be seen that the oscillation amplitude of the feedforward signal is similar to that of the feedback signal, which affects the control effect.

[0074] 3. Reduce the time constant of the lagging element, and adjust the leading / lagging elements. Add a cooling water flow feedforward term. The discharge flow response curve is as follows: Figure 30 As shown, the discharge temperature response after removing the cooling water flow feedforward term is as follows: Figure 31 As shown, the cooling water feedforward signal is as follows: Figure 32 As shown, the feedback signal is as follows Figure 33 As shown, the valve curve is as follows Figure 34 As shown.

[0075] 4. Increase the molecule's constant to address the lead / lag phases. Add cooling water flow feedforward term. Drainage temperature response as follows: Figure 35 As shown, the discharge temperature response after removing the cooling water flow feedforward term is as follows: Figure 36 As shown, the cooling water flow feedforward signal is as follows: Figure 37 As shown, the feedback signal is as follows Figure 38 As shown, the valve curve is as follows Figure 39 As shown in the diagram. Based on the site plan, the following is introduced: Figure 40 The disturbance is shown. The discharge temperature response curve is as follows: Figure 41 As shown, the cooling water flow feedforward signal is as follows: Figure 42 As shown, the feedback signal is as follows Figure 43 As shown, the feedforward effect of the cooling water flow rate has a negative impact on system regulation. Because there is a certain lag in the adjustment of the discharge temperature by changing the cooling water flow rate, and the cooling water flow rate feedforward term immediately sends a reverse adjustment signal to the valve after the cooling water flow rate changes, it affects the control effect.

[0076] Based on the above analysis, the target parameters and target debugging methods can be obtained as follows:

[0077] The delays of the control system and the controlled object were identified through on-site problem diagram identification. Appropriate first-order inertial and pure time-delay elements were added to the Simulink model to align the model's delays with the actual situation. Connecting the control system and the controlled object allowed for a rough simulation of the temperature oscillations in the field. Further adjustments were made to the first-order inertial and pure time-delay elements to maintain the temperature amplitude at 2-3°C and the oscillation period at approximately 240 seconds. Considering the 21-second response time of the temperature measuring instrument, a first-order inertial element with a time constant of 21 seconds was added to the "temperature measurement module" in the Simulink model. Analysis of the system's closed-loop transfer function led to adjustments to the inertial element added to the controlled object, ensuring that the temperature oscillation amplitude remained at 2-3°C and the oscillation period remained at 240 seconds. The target parameters were: maintaining the temperature amplitude at 2-3°C and the oscillation period at approximately 240 seconds. Target debugging method: Add appropriate first-order inertial elements and pure time delay elements to the Simulink model to make the delay in the model correspond to the actual situation. At the same time, consider that the temperature measuring instrument has a response time of 21s, that is, add a first-order inertial element with a time constant of 21s to the "temperature measurement module" of the Simulink model.

[0078] Step S107: Determine the tuning parameters and control logic based on the target parameters and target debugging method.

[0079] Specifically, the tuning parameters are the specific values ​​of the three parameters of the PI controller: P (proportional), I (integral), and D (derivative), in actual engineering applications. After determining the target parameters in step S106, the values ​​of the three adjustment parameters P, I, and D of the PI controller can be determined based on the target parameters, thus obtaining the tuning parameters. Simultaneously, the corresponding control logic can be determined based on the aforementioned target tuning method.

[0080] refer to Figure 44 , Figure 44 The model and parameter determination device based on operating parameters provided by this invention, such as Figure 44 As shown, the model and parameter determination device based on operating parameters includes:

[0081] The modeling scope determination unit 401 is used to determine the target modeling scope. The controlled object modeling unit 402 is used to establish a control object transfer function model based on the target modeling scope and in conjunction with steady-state operating conditions and design parameters. The control system modeling unit 403 is used to establish a control system transfer function model based on the control logic diagram and the operating parameters of the steady-state operating conditions. The model verification unit 404 is used to verify the effectiveness of the controlled object transfer function model and the control system transfer function model according to set verification parameters. The model identification unit 405 is used to correct the controlled object transfer function model and the control system transfer function model based on field measured data to obtain the target transfer function model of the controlled object and the target transfer function model of the control system. The selection unit 406 is used to select parameter optimization and debugging methods based on the target transfer function model of the controlled object and the target transfer function model of the control system to obtain target parameters and target debugging methods. The parameter and logic determination unit 407 is used to determine the tuning parameters and control logic based on the target parameters and target debugging methods. Specifically, the specific coordination and operation process between the units in the model and parameter determination device based on operating parameters can be referred to the above-mentioned model and parameter determination method based on operating parameters, and will not be repeated here.

[0082] Furthermore, an electronic device according to the present invention includes a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program to implement the model and parameter determination method based on operating parameters as described above. Specifically, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, when the computer program is downloaded, installed, and executed by an electronic device, it performs the functions defined in the methods of the embodiments of the present invention. The electronic device in the present invention can be a terminal such as a laptop, desktop computer, tablet computer, or smartphone, or it can be a server.

[0083] Furthermore, one type of storage medium of the present invention stores a computer program thereon, which, when executed by a processor, implements the model and parameter determination method based on operating parameters as described above. Specifically, it should be noted that the storage medium described above in the present invention can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present invention, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, wherein computer-readable program code is carried. The transmitted data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0084] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device.

[0085] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0086] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0087] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0088] The above embodiments are only for illustrating the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand the content of the present invention and implement it accordingly. They do not limit the scope of protection of the present invention. All equivalent changes and modifications made within the scope of the claims of the present invention should fall within the scope of the claims of the present invention.

Claims

1. A model and parameter determination method based on operating parameters, characterized in that, Includes the following steps: Define the scope of the target modeling; Based on the target modeling range and combined with steady-state operating conditions and design parameters, a control object transfer function model is established; Based on the control logic diagram and the operating parameters at the steady-state operating point, establish the transfer function model of the control system; The validity of the control object transfer function model and the control system transfer function model is verified according to the set verification parameters. Based on the field measurement data, the transfer function model of the controlled object and the transfer function model of the control system are corrected to obtain the target transfer function model of the controlled object and the target transfer function model of the control system. Based on the target transfer function model of the controlled object and the target transfer function model of the control system, parameter optimization and debugging method selection are performed to obtain target parameters and target debugging methods. Based on the target parameters and the target debugging method, the tuning parameters and control logic are determined.

2. The model and parameter determination method based on operating parameters according to claim 1, characterized in that, The determination of the target modeling scope includes: acquiring flowchart information, control measurement information, and equipment structure information; and determining the target modeling scope based on the flowchart information, the control measurement information, and the equipment structure information.

3. The model and parameter determination method based on operating parameters according to claim 1, characterized in that, The step of establishing a control object transfer function model based on the target modeling range and in combination with steady-state operating conditions and design parameters includes: obtaining steady-state operating conditions and design parameters; dividing the control volume based on the target modeling range and the steady-state operating conditions and design parameters; and modeling the divided control volume to obtain the control object transfer function model.

4. The model and parameter determination method based on operating parameters according to claim 1, characterized in that, The step of establishing a control system transfer function model based on the control logic diagram and the operating parameters of the steady-state operating point includes: obtaining the control logic diagram; obtaining the operating parameters of the steady-state operating point; and performing modeling based on the control logic diagram and the operating parameters of the steady-state operating point to obtain the control system transfer function model.

5. The model and parameter determination method based on operating parameters according to claim 1, characterized in that, The validity verification of the control object transfer function model and the control system transfer function model based on the set verification parameters includes: obtaining the set verification parameters; verifying the control object transfer function model and the control system transfer function model using the set verification parameters to obtain verification results; determining whether the control object transfer function model and the control system transfer function model are valid based on the verification results; if valid, saving the control object transfer function model and the control system transfer function model; if invalid, adjusting the parameters and remodeling based on the adjusted parameters until the validity is satisfied.

6. The model and parameter determination method based on operating parameters according to claim 1, characterized in that, The step of correcting the transfer function model of the controlled object and the transfer function model of the control system based on field measurement data to obtain the target transfer function model of the controlled object and the target transfer function model of the control system includes: verifying based on the field measurement data to determine the adjustment scheme of the controlled object and the control system; and obtaining the target transfer function model of the controlled object and the target transfer function model of the control system based on the adjustment scheme of the controlled object and the control system and the corrected transfer function model of the controlled object and the control system.

7. The model and parameter determination method based on operating parameters according to claim 6, characterized in that, The step of identifying and determining the adjustment scheme of the controlled object and the control system based on the field measurement data includes: verifying the transfer function model of the control system based on the field measurement data to obtain the verification result of the transfer function model of the control system; verifying the transfer function model of the controlled object based on the field measurement data to obtain the verification result of the transfer function model of the controlled object; and analyzing the verification results of the transfer function model of the control system and the transfer function model of the controlled object to determine the adjustment scheme of the controlled object and the control system.

8. A model and parameter determination device based on operating parameters, characterized in that, include: Modeling scope determination unit, used to determine the target modeling scope; The control object modeling unit is used to establish a control object transfer function model based on the target modeling range and in combination with steady-state operating conditions and design parameters. The control system modeling unit is used to establish the transfer function model of the control system based on the control logic diagram and the operating parameters at the steady-state operating point. The model verification unit is used to verify the effectiveness of the transfer function model of the controlled object and the transfer function model of the control system according to the set verification parameters. The model identification unit is used to correct the transfer function model of the controlled object and the transfer function model of the control system based on the field measured data, so as to obtain the target transfer function model of the controlled object and the target transfer function model of the control system. The selection unit is used to perform parameter optimization and debugging method selection based on the target transfer function model of the controlled object and the target transfer function model of the control system, and to obtain the target parameters and the target debugging method. The parameter and logic determination unit is used to determine the tuning parameters and control logic based on the target parameters and the target debugging method.

9. A storage medium, characterized in that, The storage medium stores a computer program adapted for loading by a processor to perform the steps of the model and parameter determination method based on operating parameters as described in any one of claims 1 to 7.

10. An electronic device, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the steps of the model and parameter determination method based on operating parameters as described in any one of claims 1 to 7 by calling the computer program stored in the memory.

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