A method, system and medium for adjusting power setting value of reactor control system

Abstract

The present invention discloses a method, system and medium for adjusting the power setting value of a reactor control system; relates to the technical field of reactor power control; performs online fault detection on an actuator of the reactor control system; when a fault in the actuator is detected, determines a fault symptom variable and an operating power setting value; pre-processes the fault symptom variable to obtain an input variable, inputs the input variable into a constructed fuzzy tuning model to calculate an operating power compensation value; adjusts the power setting value of the reactor control system by combining the operating power setting value and the operating power compensation value; for a multi-variable, strongly coupled nonlinear small pressurized water reactor system, when a feedwater valve fault and a control rod drive mechanism jam occur, a fuzzy tuning model with strong uncertainty processing capability is used to establish a relationship between the operating power compensation value and the fault symptom variable, automatically adjusts the reactor power setting value, and realizes fault-tolerant control of the reactor control system.

Description

Technical Field

[0001] The present invention relates to the technical field of reactor power control, and in particular to a method, system and medium for adjusting a power setting value of a reactor control system. Background Art

[0002] Small pressurized water reactors (SWRs) employ a dual-constant control scheme, maintaining a constant average primary coolant temperature and a constant secondary steam pressure during operation. Feedwater valve and control rod failures in the once-through steam generator feedwater control system are key fault conditions to consider. If either of these conditions becomes stuck, the actuator loses its regulating capability, rendering the system unable to maintain its original operating state. Appropriate performance degradation, specifically adjustment of the system power setpoint, is required.

[0003] Traditional power control technology focuses on nuclear power plant reactor control systems. This study analyzes and studies fault-tolerant control technologies and methods for reactor control systems under different power operating conditions, analyzing the conditions required for fault model conversion between the two control devices. Improved fault-tolerant control methods based on BP neural networks and fuzzy neural networks are proposed, focusing on pressurizer pressure measurement sensor and steam generator pressure measurement sensor failures.

[0004] In addition, based on the research on reactor fault diagnosis and fault-tolerant control technology, a passive fault-tolerant control method for reactors is developed based on robust characteristic structure configuration. Fault detection and fault location including Kalman filter are introduced, and an active fault-tolerant controller with a control strategy reconstructed by state feedback control law is designed. Simulation results show that both have a good improvement on the performance of the reactor control system, but the improvement effect of active fault-tolerant reactor faults is more obvious. However, since the passive fault-tolerant controller does not require a fault diagnosis link, the system structure can be greatly simplified.

[0005] Alternatively, in combination with the operating parameters of the pressurized water reactor core, an improved genetic algorithm is used to adjust the various parameters in the controller to obtain a global optimal solution, thereby realizing adaptive adjustment of the core power control of the pressurized water reactor nuclear power plant; a prediction model is also used to predict future deviation values, and the current optimal control strategy is determined through rolling optimization to minimize the deviation between the future controlled variables and the expected values; a genetic algorithm is used to optimize the undetermined parameters in the reactor core power prediction control model to obtain the optimal values of the undetermined parameters.

[0006] The existing reactor fault-tolerant control technology does not take into account the set value of the reactor power for system operation. Summary of the Invention

[0007] The technical problem to be solved by the present invention is that the existing fault-tolerant control technology of the reactor does not take into account the problem of the set value of the reactor power of the system operation. When a fault occurs, the power set value needs to be set manually, which requires multiple tests and adjustments and cannot be accurately controlled. The purpose of the present invention is to provide a power set value adjustment method, system and medium for a reactor control system. For a multi-variable, strongly coupled nonlinear small pressurized water reactor system, when a feedwater valve fault and a control rod drive mechanism jam occur, a fuzzy tuning model with strong uncertainty processing capabilities is used to establish the relationship between the operating power compensation amount and the fault symptom variables (such as the core coolant inlet and outlet temperatures, steam pressure, steam flow, etc.), automatically adjust the reactor power set value, and realize fault-tolerant control of the reactor control system.

[0008] The present invention is achieved through the following technical solutions:

[0009] This solution provides a method for adjusting the power setpoint of a reactor control system. The method is applied to a dual-constant type pressurized water reactor (PWR), wherein the PWR includes a PWR with a constant primary coolant average temperature and a constant secondary steam pressure during operation. The method comprises the following steps:

[0010] Perform online fault detection on the actuators of the reactor control system;

[0011] When an actuator fault is detected, a fault symptom variable and an operating power setting amount are determined;

[0012] Preprocess the fault symptom variables to obtain input variables, and input the input variables into the constructed fuzzy tuning model to calculate the operating power compensation;

[0013] The power setting value of the reactor control system is adjusted based on the comprehensive operating power setting amount and the operating power compensation amount.

[0014] Working principle of this scheme: The existing fault-tolerant control technology of the reactor does not take into account the set value problem of the reactor power of the system operation. When performing power regulation, multiple debugging and control are required, and precise regulation is impossible; the purpose of the present invention is to provide a power set value adjustment method, system and medium for the reactor control system. For a multi-variable, strongly coupled nonlinear small pressurized water reactor system, when a feedwater valve failure and a control rod drive mechanism jam occur, a fuzzy tuning model with strong uncertainty processing capabilities is used to establish the relationship between the operating power compensation amount and the fault symptom variables (such as the core coolant inlet and outlet temperature, steam pressure, steam flow, etc.), automatically adjust the reactor power set value, and realize fault-tolerant control of the reactor control system.

[0015] This proposal utilizes a fuzzy tuning model with strong uncertainty handling capabilities to propose a method for adjusting the power setpoint of a reactor control system. First, fault-signal variables that are easily measurable or calculable in practice and can fully and accurately describe the system's operating status are selected as fuzzy logic input variables. Then, a reasonable fuzzy tuning logic is established based on the system's energy balance. This method can determine new setpoints in the event of a feedwater valve failure or a stuck control rod drive mechanism.

[0016] A further optimization scheme is to use the variable that describes the operating status of the reactor control system the most as the fault symptom variable when an actuator fails.

[0017] A further optimization scheme is that the pretreatment includes the following methods:

[0018] The deviation and the deviation integral of the fault symptom variable are obtained, and the deviation and the deviation integral are used as input variables; the deviation represents the difference between the measured value and the standard value of the fault symptom variable.

[0019] A further optimization scheme is to input the input variables into the constructed fuzzy tuning model to calculate the operating power compensation, including the following method:

[0020] S1, determine the input and output of the fuzzy tuning model, define the linguistic variables of the input and output, and determine the membership function of each linguistic variable;

[0021] S2, based on the theoretical analysis and simulation research of the dynamic characteristics and energy balance of the dual-constant pressurized water reactor, a number of fuzzy rules are obtained to form a fuzzy tuning rule base;

[0022] S3, obtain input variables, filter fuzzy rules corresponding to the input variables from the fuzzy tuning rule library, and all the filtered fuzzy rules form the output language variable set;

[0023] S4, based on the weighted average method, fuzzy judgment is performed on the output language variable set to obtain the operating power compensation amount.

[0024] A further optimization scheme is that S1 includes the following sub-steps:

[0025] S11, for the linguistic variable I, respectively configure fuzzy domains for the deviation, deviation integral, and compensation of the linguistic variable I, and define fuzzy subsets of each fuzzy domain;

[0026] S12, using the triangular membership function as the input and output membership functions of each linguistic variable.

[0027] The further optimization scheme is that S2 includes the following processes:

[0028] For the language variable I, the fuzzy rule acquisition method includes:

[0029] Based on the correlation between the linguistic variable I and the operating power of the reactor control system, a correlation between the operating power compensation amount and the deviation of the linguistic variable I is set;

[0030] The sign of the operating power compensation amount is set based on the sign of the deviation of the linguistic variable I.

[0031] A further optimization scheme is that all the fuzzy rules selected form an output language variable set, including the process: all the fuzzy rules selected based on the area centroid method, the area centroid method is expressed as:

[0032]

[0033] Where, u represents the exact output, u * Represents the fuzzy output, μ(u * ) represents the fuzzy output membership function, which is a triangular membership function.

[0034] This solution also provides a power setting value adjustment system for a reactor control system, which is used to implement the above-mentioned power setting value adjustment method for a reactor control system, comprising:

[0035] Online detection module, used for online fault detection of actuators of the reactor control system;

[0036] A first calculation module is used to select a fault symptom variable and an operating power setting value when a fault of the actuator is detected;

[0037] The second calculation module is used to pre-process the fault symptom variables to obtain input variables, and input the input variables into the constructed fuzzy tuning model to calculate the operating power compensation;

[0038] The adjustment module is used to adjust the power setting value of the reactor control system by comprehensively considering the operating power setting amount and the operating power compensation amount.

[0039] A further optimization solution is to also include an acquisition module for collecting the operating status of the reactor control system.

[0040] This solution also provides a computer-readable medium having a computer program stored thereon, and the computer program is executed by a processor to implement the power setting value adjustment method of a reactor control system as described above.

[0041] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0042] The present invention provides a method, system and medium for adjusting the power setting value of a reactor control system. For a multivariable, strongly coupled nonlinear small pressurized water reactor system, when a feedwater valve failure and a control rod drive mechanism jam occur, a fuzzy tuning model with strong uncertainty processing capabilities is used to establish a relationship between the operating power compensation amount and fault symptom variables (such as the core coolant inlet and outlet temperatures, steam pressure, steam flow, etc.), automatically adjust the reactor power setting value, and realize fault-tolerant control of the reactor control system. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the following briefly introduces the drawings required for use in the examples. It should be understood that the following drawings only illustrate certain embodiments of the present invention and should not be considered as limiting the scope. A person of ordinary skill in the art can also derive other relevant drawings based on these drawings without inventive effort. In the drawings:

[0044] Figure 1 A schematic flow chart of a method for adjusting a power set point of a reactor control system;

[0045] Figure 2 This is a schematic diagram of the fuzzy tuning principle for the power setting value of the reactor control system;

[0046] Figure 3 This is the membership curve of the steam pressure deviation and its integral in Example 2. DETAILED DESCRIPTION

[0047] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with examples and drawings. The exemplary embodiments of the present invention and their descriptions are only used to explain the present invention and are not intended to limit the present invention.

[0048] Example 1

[0049] This embodiment provides a method for adjusting the power setting value of a reactor control system, which is applied to a dual-constant type pressurized water reactor. The constant type pressurized water reactor includes a pressurized water reactor with a constant average temperature of the primary coolant and a constant secondary steam pressure during operation. Figure 1 As shown, the method includes the steps of:

[0050] Step 1: Perform online fault detection on the actuators of the reactor control system;

[0051] Step 2: When an actuator failure is detected, a fault symptom variable and an operating power setting are determined; when an actuator failure occurs, the variable that describes the operating state of the reactor control system the most is used as the fault symptom variable.

[0052] Step 3: Preprocess the fault symptom variables to obtain input variables, and input the input variables into the constructed fuzzy tuning model to calculate the operating power compensation;

[0053] Preprocessing includes methods:

[0054] The deviation and the deviation integral of the fault symptom variable are obtained, and the deviation and the deviation integral are used as input variables; the deviation represents the difference between the measured value and the standard value of the fault symptom variable.

[0055] Input the input variables into the established fuzzy tuning model to calculate the operating power compensation, including the following methods:

[0056] S1, determine the input and output of the fuzzy tuning model, define the linguistic variables of the input and output, and determine the membership function of each linguistic variable;

[0057] S1 includes the following sub-steps:

[0058] S11, for the linguistic variable I, respectively configure fuzzy domains for the deviation, deviation integral, and compensation of the linguistic variable I, and define fuzzy subsets of each fuzzy domain;

[0059] S12, using the triangular membership function as the input and output membership functions of each linguistic variable.

[0060] S2, based on the theoretical analysis and simulation research of the dynamic characteristics and energy balance of the dual-constant pressurized water reactor, a number of fuzzy rules are obtained to form a fuzzy tuning rule base;

[0061] S2 includes the following processes:

[0062] For the language variable I, the fuzzy rule acquisition method includes:

[0063] Based on the correlation between the linguistic variable I and the operating power of the reactor control system, a correlation between the operating power compensation amount and the deviation of the linguistic variable I is set;

[0064] The sign of the operating power compensation amount is set based on the sign of the deviation of the linguistic variable I.

[0065] S3, obtain input variables, filter fuzzy rules corresponding to the input variables from the fuzzy tuning rule library, and all the filtered fuzzy rules form the output language variable set;

[0066] All the fuzzy rules selected form the output language variable set, including the process: all the fuzzy rules selected based on the area centroid method, the area centroid method is expressed as:

[0067]

[0068] Where, u represents the exact output, u * Represents the fuzzy output, μ(u * ) represents the fuzzy output membership function, which is a triangular membership function.

[0069] S4, based on the weighted average method, fuzzy judgment is performed on the output language variable set to obtain the operating power compensation amount.

[0070] Step 4: Adjust the power setting value of the reactor control system based on the comprehensive operating power setting amount and the operating power compensation amount.

[0071] like Figure 2 As shown in the figure, after the input variables are processed by fuzzy tuning logic, the compensation amount of the control system set value can be calculated and superimposed with the original set value to obtain the new set value. It mainly includes the selection of input variables and fuzzy tuning logic modeling.

[0072] Selection of input variables. Fault symptom variables used for fuzzy tuning of control system setpoints must meet the following requirements: they can fully and accurately describe the system's operating status and be easily measured or calculated during actual operation. Based on these requirements, this embodiment uses the deviation of the measured value of the selected fault symptom variable from its reference or standard value, as well as its integral, as the input variables of the fuzzy tuning logic model.

[0073] The deviation integral contains the time-varying characteristics of the deviation, but it is easy for small model errors or random errors to accumulate over time, thereby causing malfunction of the tuning system; the deviation can only reflect the operating state of the system at a specific moment, but it can avoid mistuning caused by small model errors or random errors; the two complement each other and serve as a multi-time-scale quantitative description of the system's operating state to input the fuzzy tuning system.

[0074] Fuzzy tuning logic modeling. Pressurized water reactor nuclear power plants convert the energy generated by nuclear fission reactions into heat, electricity, and other energy. Online tuning of the control system set values can improve the coordination and safety of the system's energy generation, transmission, and output processes during fault conditions. The core of the control system set value fuzzy tuning of the present invention is to establish a reasonable fuzzy tuning logic model based on the system's energy balance, including fuzzification of input quantities, fuzzy reasoning, and defuzzification of output quantities. First, the basic domains of input and output quantities are determined, the corresponding linguistic variables are defined, and the membership functions of the linguistic variables are determined. Second, based on theoretical analysis and simulation research on the dynamic characteristics and energy balance of small pressurized water reactors, a certain number of fuzzy conditional statements are summarized to form a fuzzy tuning rule base. The fuzzy reasoning process involves selecting corresponding fuzzy rules based on the fuzzy subsets of the input linguistic variables to obtain the output linguistic variable set. Finally, a weighted average method is used to perform fuzzy judgment based on the obtained fuzzy subsets of the output variables to calculate the compensation amount for the control system set value. This compensation amount is then superimposed on the original set value to obtain the new set value.

[0075] Example 2

[0076] Based on the previous embodiment, in this embodiment, the digital controller collects the signals required by the power setting value adjustment method of the reactor control system, and sends the control signals generated by the power setting value adjustment method of the reactor control system to the relevant actuators.

[0077] This embodiment is developed, compiled, and downloaded to the main controller of the digital controller in the programming development environment of the digital controller. The digital controller executes the method in real time according to the set control cycle. The programming development steps mainly include:

[0078] 1) Input fuzzification. First, the input variables are determined as the deviations between the measured values of steam pressure and average core coolant temperature and their set values, as well as their integrals. Then, the precise values of the input signals are fuzzified to obtain fuzzy signals that can be recognized by the fuzzy controller. This means determining the domain and membership function of the input signal so that it covers the entire spatial range of input factors.

[0079] For example, through a large number of simulation analyses of steam pressure responses, the present invention sets the fuzzy domain of the steam pressure deviation E_Ph to [-0.275, 0.275], and defines its fuzzy subsets as NS (negative small), ZO (zero), and PS (positive small); sets the fuzzy domain of the steam pressure deviation integral iE_Ph to [-100, 100], and defines its fuzzy subsets as NB (negative large), NS (negative small), ZO (zero), PS (positive small), and PB (positive large); sets the fuzzy domain of the set value compensation to [-50, 50], and defines its fuzzy subsets as NS (negative small), ZO (zero), and PS (positive small); selects the triangular membership function, which is easy to implement and widely used, as the input and output membership function, and its expression is shown below.

[0080]

[0081] Where a, b, and c are the lower left vertex, positive vertex, and lower right vertex of the triangle respectively.

[0082] like Figure 3 As shown in the figure, the membership curve of steam pressure deviation E_Ph and steam pressure deviation integral iE_Ph, the fuzzy domain of steam pressure deviation E_P, is set to [-0.275, 0.275]:

[0083] Negative small (NS) b = -0.275, c = 0;

[0084] Positive small (PS) a=0, b-0.275;

[0085] The fuzzy domain of the steam pressure deviation integral iEP, is set to [-100,100]:

[0086] In negative large (NB), b = -100, c = -30;

[0087] Negative small (NS) a=-80, b=-40, c=0;

[0088] In positive small (PS), a-0, b-40, c-80;

[0089] In PS, a=30, b=100;

[0090] 2) Design fuzzy rules. Based on theoretical analysis and experience, under the condition of water supply valve failure, according to different E_P h andiE_P h The principles for setting the relative power setting value are as follows:

[0091] (a)E_P h The degree of change indicates the size of the deviation between the steam pressure measurement value and its set value, and also reflects the magnitude of the change in the relative power operating value. In order to achieve a match between the relative power operating value and the actual value, the relative power set value compensation should be equal to E_P h The changes remain positively correlated.

[0092] (b) When the water supply valve suddenly gets stuck, the steam pressure deviation E_P h If it is less than 0, it means that the measured steam pressure value is less than its set value. In order to return the steam pressure to the initial value, the system should reduce performance, the relative power set value compensation should take a negative value, and the set value after fuzzy tuning will decrease.

[0093] (c) Steam pressure deviation E_P h If it is greater than 0, it means that the measured steam pressure value is greater than its set value. In order to return the steam pressure to the initial value, the system should increase the power, and the relative power set value compensation should be a positive value. The set value after fuzzy tuning will increase.

[0094] According to the above principles, the fuzzy control rules of relative power setting value developed in this study are shown in Table 1.

[0095] Table 1 Fuzzy tuning rules for reactor power setting values

[0096]

[0097] When the input steam pressure deviation E_P h =0.1, steam pressure deviation integral iE_P h =10; when the steam pressure deviation is small and the steam pressure deviation integral is small, the fuzzy rule of small negative set value compensation is activated.

[0098] 3) Defuzzification

[0099] Defuzzification is the reverse process of fuzzification of input variables and is the embodiment of the fuzziness of the fuzzy controller. Since the controlled object can only accept precise control signals, the output of the fuzzy controller must be a precise value. Here, the area centroid method is used as the fuzzy tuning logic defuzzification method, and its expression is:

[0100]

[0101] In the formula, u represents the exact output value, u* represents the fuzzy output value, μ(u * ) represents the fuzzy output membership function. Fuzzy output membership function and steam pressure deviation E_P h The selected membership function is u*-0.25*50+0.364*50=30.7.

[0102] Example 3

[0103] This embodiment provides a power setting value adjustment system for a reactor control system, which is used to implement the power setting value adjustment method of a reactor control system described above, including:

[0104] Online detection module, used for online fault detection of actuators of the reactor control system;

[0105] A first calculation module is used to select a fault symptom variable and an operating power setting value when a fault of the actuator is detected;

[0106] The second calculation module is used to pre-process the fault symptom variables to obtain input variables, and input the input variables into the constructed fuzzy tuning model to calculate the operating power compensation;

[0107] The adjustment module is used to adjust the power setting value of the reactor control system by comprehensively considering the operating power setting amount and the operating power compensation amount.

[0108] It also includes an acquisition module for acquiring the operating status of the reactor control system.

[0109] Example 4

[0110] This embodiment provides a computer-readable medium having a computer program stored thereon. The computer program is executed by a processor to implement a method for adjusting a power setting value of a reactor control system as described in Example 1.

[0111] The present invention is mainly applicable to a multivariable, strongly coupled, nonlinear small pressurized water reactor control system. When a feedwater valve failure or a control rod drive mechanism jam occurs in a nuclear power plant, the fuzzy tuning method of the present invention is used to automatically adjust the reactor power setting value, stabilize the system parameters, and realize fault-tolerant control of the reactor control system.

[0112] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for adjusting the power setting value of a reactor control system, characterized in that: The method is applied to a dual-constant pressurized water reactor, wherein the constant pressurized water reactor includes a pressurized water reactor in which the average temperature of the primary coolant is constant during operation and the secondary side steam pressure is constant. The method comprises the following steps: Based on the theoretical analysis of the dynamic characteristics and energy balance of the dual-constant pressurized water reactor, fuzzy principles and fuzzy logic are designed and formulated; Construct fuzzy tuning model; Perform online fault detection on the actuators of the reactor control system; When an actuator fault is detected, a fault symptom variable and an operating power setting amount are determined; When an actuator fails, the variable that describes the operating status of the reactor control system the most is used as the fault symptom variable; Preprocessing the fault symptom variables to obtain input variables, and inputting the input variables into the constructed fuzzy tuning model to calculate the operating power compensation; the preprocessing method includes: Obtaining the deviation and the deviation integral of the fault symptom variable, and using the deviation and the deviation integral as input variables; The deviation represents the difference between the measured value and the standard value of the fault symptom variable; The method of inputting the input variables into the constructed fuzzy tuning model to calculate the operating power compensation includes: S1, determining the input and output of the fuzzy tuning model, defining the linguistic variables of the input and output, and determining the membership function of each linguistic variable; S1 includes the following sub-steps: S11, for a linguistic variable I, configuring fuzzy domains for the deviation, deviation integral, and compensation of the linguistic variable I, and defining fuzzy subsets of each fuzzy domain; the linguistic variable I includes the average core coolant temperature, steam pressure, and steam flow rate; S2, based on the theoretical analysis and simulation research of the dynamic characteristics and energy balance of the dual-constant pressurized water reactor, multiple fuzzy rules are obtained to form a fuzzy tuning rule base; S2 The following processes are included: For the language variable I, the fuzzy rule acquisition method includes: Based on the correlation between the linguistic variable I and the operating power of the reactor control system, a correlation between the operating power compensation amount and the deviation of the linguistic variable I is set; The positive or negative value of the operating power compensation amount is set based on the positive or negative value of the deviation of the language variable I; The fuzzy rules for steam pressure include: A, relative power setting value compensation and E_P h Changes remain positively correlated; B, when the steam pressure deviation E_P h When it is less than 0, the compensation amount relative to the power setting value takes a negative value; C, when the steam pressure deviation E_P h When it is greater than 0, the relative power setting value compensation takes a positive value; Based on the fuzzy rule of steam pressure, the steam pressure deviation integral is introduced to consider the change of actuator fault during the fault process. The fuzzy setting rule of steam pressure is constructed as follows: When the steam pressure deviation is in the negative small, the relative power set value compensation is negative small; When the steam pressure deviation is 0 or positive small, and the steam pressure deviation integral is negative small or negative large, the relative power set value compensation is negative small; When the steam pressure deviation is 0 or positive small, and the steam pressure deviation integral is positive small or positive large, the relative power set value compensation is positive small; S3, obtain input variables, filter fuzzy rules corresponding to the input variables from the fuzzy tuning rule library, and all the filtered fuzzy rules form the output language variable set; Based on the weighted average method, fuzzy judgment is performed on the output language variable set to obtain the operating power compensation amount; The power setting value of the reactor control system is adjusted based on the comprehensive operating power setting amount and the operating power compensation amount.

2. The method for adjusting the power setting value of a reactor control system according to claim 1, wherein: All the fuzzy rules selected form an output language variable set, including the process of selecting all the fuzzy rules based on the area centroid method. The area centroid method is expressed as: Where, u represents the exact output, u * represents the fuzzy output, Represents the membership function of the fuzzy output quantity, which is a triangular membership function.

3. A power setting value adjustment system for a reactor control system, characterized in that: A method for adjusting a power setting value of a reactor control system according to claim 1 or 2, comprising: Online detection module, used for online fault detection of actuators of the reactor control system; A first calculation module is used to select a fault symptom variable and an operating power setting value when a fault of the actuator is detected; The second calculation module is used to pre-process the fault symptom variables to obtain input variables, and input the input variables into the constructed fuzzy tuning model to calculate the operating power compensation; The adjustment module is used to adjust the power setting value of the reactor control system by comprehensively considering the operating power setting amount and the operating power compensation amount.

4. A power setting value adjustment system for a reactor control system according to claim 2, characterized in that: It also includes an acquisition module for acquiring the operating status of the reactor control system.

5. A computer-readable medium having a computer program stored thereon, characterized in that: The computer program is executed by a processor to implement a method for adjusting a power setting value of a reactor control system as described in any one of claims 1 to 2.

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