A method and system for controlling voltage fluctuation of a DC high voltage generator

Abstract

The present invention relates to the field of voltage control, and discloses a voltage fluctuation control method and system for a direct current high voltage generator, comprising the following steps: constructing a simulation model of a direct current high voltage generator for simulating the output voltage of the direct current high voltage generator, and analyzing and optimizing the simulation effect of the simulation model. After obtaining a qualified target simulation model, the voltage fluctuation state of the direct current high voltage generator is simulated, analyzed and optimized through the qualified target simulation model, and after obtaining a direct current high voltage generator with a qualified voltage fluctuation state, the overvoltage protection performance of the direct current high voltage generator is evaluated and optimized to obtain a direct current high voltage generator with qualified voltage fluctuation control. The present invention realizes the voltage fluctuation simulation analysis of the direct current high voltage generator through a simulation model, and controls the voltage fluctuation of the direct current high voltage generator based on the simulation analysis results, thereby reducing possible safety hazards, preventing damage to the direct current high voltage generator, and extending the service life of the equipment.

Description

Technical Field

[0001] The present invention relates to the field of voltage control, and in particular to a method and system for controlling voltage fluctuation of a direct current high voltage generator. Background Art

[0002] A DC high voltage generator is a device used to generate a high voltage DC output. It is widely used in laboratories, industrial production, scientific research and other fields that require a stable high voltage DC power supply. The DC high voltage generator mainly includes a power transformer, a rectifier circuit, a filter circuit, a voltage stabilization circuit and a protection circuit, and has the characteristics of high voltage output and high stability. Controlling the voltage fluctuation of the DC high voltage generator can prevent safety hazards of the DC high voltage generator, ensure operational safety, and increase the life of the DC high voltage generator. There are many reasons for the voltage fluctuation of the DC high voltage generator, including but not limited to component failure, power module problems, control circuit failure, etc. Therefore, it is very important to control the voltage fluctuation of the DC high voltage generator. The voltage fluctuation of the DC high voltage generator can be effectively reduced by optimizing the control parameters and improving the circuit design to ensure its stable and reliable operation. Summary of the invention

[0003] The present invention overcomes the deficiencies of the prior art and provides a voltage fluctuation control method and system for a direct current high voltage generator.

[0004] In order to achieve the above object, the technical solution adopted by the present invention is:

[0005] A first aspect of the present invention provides a method for controlling voltage fluctuation of a DC high voltage generator, comprising the following steps:

[0006] S102: constructing a simulation model of a DC high voltage generator, and performing a model simulation effect analysis on the simulation model of the DC high voltage generator;

[0007] S104: If the target simulation model is an unqualified target simulation model, performing simulation optimization adjustment on the unqualified target simulation model;

[0008] S106: Performing real-time simulation analysis and optimization of the voltage fluctuation state of the target DC high-voltage generator through the qualified target simulation model, and evaluating and optimizing the overvoltage protection performance of the target DC high-voltage generator.

[0009] Furthermore, in a preferred embodiment of the present invention, the step S102 is specifically:

[0010] Obtaining a DC high voltage generator to be analyzed, calibrating it as a target DC high voltage generator, and obtaining a historical data network, and retrieving the components of the target DC high voltage generator, the rated parameters of each component, and the circuit topology of the target DC high voltage generator from the historical data network;

[0011] Acquire simulation model construction software, in which, according to the constituent elements of the target DC high voltage generator, obtain simulation elements of the target DC high voltage generator, and, based on rated parameters of each constituent element, perform parameter setting on the simulation elements of all the target DC high voltage generators to obtain simulation elements of the target DC high voltage generator after parameter setting;

[0012] In the simulation model construction software, the simulation elements of the target DC high voltage generator after the control parameters are set are connected based on the circuit topology of the target DC high voltage generator to obtain a simulation model of the target DC high voltage generator, which is calibrated as the target simulation model;

[0013] Preset the simulation effect test time, control the target DC high voltage generator and the target simulation model to perform high voltage DC output processing within the simulation effect test time, and obtain the real-time output voltage of the target DC high voltage generator and the target simulation model within the simulation effect test time;

[0014] Based on the real-time output voltages of the target DC high voltage generator and the target simulation model during the simulation effect test time, construct a real-time output voltage waveform of the target DC high voltage generator and a real-time output voltage waveform of the target simulation model;

[0015] The correlation coefficient method is introduced to calculate the coincidence rate between the real-time output voltage waveform of the target DC high voltage generator and the real-time output voltage waveform of the target simulation model, and calibrate it as a type I waveform coincidence rate;

[0016] If the waveform overlap rate of one type is greater than a preset value, the target simulation model is calibrated as a qualified target simulation model; if the waveform overlap rate is less than the preset value, the target simulation model is calibrated as an unqualified target simulation model.

[0017] Furthermore, in a preferred embodiment of the present invention, the step S104 is specifically:

[0018] If the target simulation model is an unqualified target simulation model, a temperature and humidity sensor is obtained, and the temperature and humidity around the target DC high voltage generator are obtained through the temperature and humidity sensor, and calibrated as the temperature and humidity around the target DC high voltage generator;

[0019] Introducing an environmental benchmark model, importing the ambient temperature and humidity of the target DC high voltage generator into the environmental benchmark model for model training, and obtaining an environmental training model;

[0020] A model compensation algorithm is introduced, and based on the model compensation algorithm, the environmental training model is combined with the unqualified target simulation model to obtain a type of target simulation model to be evaluated, and a real-time output voltage waveform of the type of simulation model to be evaluated is obtained. Based on the correlation coefficient method, the overlap rate between the real-time output voltage waveform of the type of simulation model to be evaluated and the real-time output voltage waveform of the target DC high-voltage generator is calculated, and calibrated as a type II waveform overlap rate;

[0021] If the overlap rate of the two types of waveforms is still less than the preset value, then obtaining simulation parameters of a type of simulation model to be evaluated, wherein the simulation parameters of the type of simulation model to be evaluated include a simulation step size and a simulation time;

[0022] The simulation parameters of a type of simulation model to be evaluated are dynamically adjusted, and simulation parameters that can make the overlap rate of the two types of waveforms greater than a preset value are selected and output to the type of simulation model to be evaluated, so as to obtain a qualified target simulation model.

[0023] Furthermore, in a preferred embodiment of the present invention, the step S106 is specifically as follows:

[0024] Obtain all loads ranging from no-load to rated load, calibrate them as standard load range, preset voltage fluctuation test time, and during the voltage fluctuation test time, control the qualified target simulation model to perform high voltage DC simulation output based on the standard load range to obtain the real-time output voltage of the target DC high voltage generator under different loads within the standard load range;

[0025] Based on the real-time output voltage of the target DC high voltage generator under different loads within the standard load range, construct an output voltage waveform diagram under different loads within the standard load range, and calculate the waveform slope change rate under different loads within the standard load range based on the output voltage waveform diagram under different loads within the standard load range;

[0026] Analyze the waveform slope change rates under different loads within the standard load range to determine whether the waveform slope change rates under all loads within the standard load range are less than a preset value;

[0027] If yes, the target DC high voltage generator is calibrated as a dynamically qualified DC high voltage generator;

[0028] If not, the controller parameter simulation debugging is performed in the qualified target simulation model, and the waveform slope change rate under different loads within the standard load range is monitored during the controller parameter simulation debugging;

[0029] If the waveform slope change rate under all loads within the standard load range is less than the preset value during the controller parameter simulation debugging process, then obtain the controller parameter that makes the waveform slope change rate under all loads within the standard load range less than the preset value, calibrate it as a dynamically qualified controller parameter, and apply the dynamically qualified controller parameter to the target DC high voltage generator to obtain a dynamically qualified DC high voltage generator;

[0030] If the waveform slope change rate under different loads within the standard load range is still greater than the preset value during the controller parameter simulation debugging process, simulated filtering adjustment is performed in the qualified target simulation model, and the filtering parameters that can make the waveform slope change rate under all loads within the standard load range less than the preset value are calibrated as qualified filtering parameters;

[0031] Adding a filter to the power input terminal of the target DC high voltage generator and applying qualified filtering parameters to the filter to obtain a dynamically qualified DC high voltage generator;

[0032] A qualified target simulation model is used to perform load change response simulation analysis, and the dynamically qualified DC high-voltage generator is optimized based on the load change response simulation analysis results.

[0033] Further, in a preferred embodiment of the present invention, the use of the qualified target simulation model to perform load change response simulation analysis, and optimizing the dynamic qualified DC high voltage generator according to the load change response simulation analysis results, is specifically as follows:

[0034] The output voltage waveform of the dynamic qualified DC high voltage generator at no-load is obtained through the qualified target simulation model, which is calibrated as the no-load output voltage waveform, and the output voltage waveform of the dynamic qualified DC high voltage generator at rated load is obtained through the qualified target simulation model, which is calibrated as the rated load output voltage waveform;

[0035] Performing waveform analysis on the no-load output voltage waveform diagram and the rated load output voltage waveform diagram to obtain a waveform rise time, wherein the waveform rise time is the time it takes for the output voltage to change from no-load to rated load;

[0036] Analyze the waveform rise time and preset the maximum waveform rise time. If the waveform rise time is less than the maximum waveform rise time, the response speed of the dynamic qualified DC high voltage generator to the load change is evaluated as qualified and calibrated as a response qualified DC high voltage generator;

[0037] If the waveform rise time is greater than the waveform maximum rise time, the response speed of the dynamically qualified DC high voltage generator to the load change is evaluated as unqualified and calibrated as an unqualified response DC high voltage generator;

[0038] Using a voltage detection device to perform node voltage detection on all circuit nodes that respond to the unqualified DC high voltage generator, and obtaining standard node voltages of all circuit nodes, if the node voltage of a circuit node is not equal to the corresponding standard node voltage, then marking the corresponding circuit node as an abnormal circuit node;

[0039] Acquire the position of the abnormal circuit node in the DC high voltage generator that responds to the unqualified condition, and determine the faulty component of the DC high voltage generator that responds to the unqualified condition based on the position of the abnormal circuit node in the DC high voltage generator that responds to the unqualified condition, and mark it as the abnormal response component;

[0040] The maintenance method of the abnormal component is retrieved and output in the historical data network to obtain the qualified DC high-voltage generator, and the overload protection performance of the qualified DC high-voltage generator is evaluated and optimized.

[0041] Furthermore, in a preferred embodiment of the present invention, the overload protection performance evaluation and optimization of the DC high voltage generator with qualified response is specifically as follows:

[0042] Obtaining the maximum tolerable load of the qualified DC high-voltage generator, and performing an overload test on the qualified DC high-voltage generator, wherein the overload test is to control the load of the qualified DC high-voltage generator to be greater than the maximum tolerable load of the qualified DC high-voltage generator, and to determine whether the qualified DC high-voltage generator can trigger overload protection;

[0043] If not, the working parameters of the qualified DC high voltage generator in the overload protection device are obtained, and the Markov chain algorithm and the genetic algorithm are introduced to perform fault state iterative calculation on the working parameters of the qualified DC high voltage generator in the overload protection device to obtain the abnormal overload protection device components;

[0044] Replace the abnormal overload protection device components so that the qualified DC high voltage generator can trigger the overload protection, and calculate the time for the qualified DC high voltage generator that can trigger the overload protection to trigger the overload protection, which is calibrated as the overload response time;

[0045] If the overload response time is greater than the preset value, the algorithm for triggering overload protection in the qualified DC high-voltage generator that can trigger the overload protection is obtained and calibrated as the overload protection algorithm. The algorithm correction patch of the overload protection algorithm is retrieved and output in the historical data network, so that the overload response time is less than the preset value, and a DC high-voltage generator with qualified voltage fluctuation control is obtained.

[0046] A second aspect of the present invention further provides a voltage fluctuation control system for a DC high voltage generator, the voltage fluctuation control system comprising a memory and a processor, the memory storing a voltage fluctuation control method, and when the voltage fluctuation control method is executed by the processor, the following steps are implemented:

[0047] Constructing a simulation model of a direct current high voltage generator, and performing a model simulation effect analysis on the simulation model of the direct current high voltage generator;

[0048] If the target simulation model is an unqualified target simulation model, then the unqualified target simulation model is subjected to simulation optimization adjustment;

[0049] The voltage fluctuation state of the target DC high-voltage generator is simulated and analyzed in real time through the qualified target simulation model, and the overvoltage protection performance of the target DC high-voltage generator is evaluated and optimized.

[0050] The present invention solves the technical defects existing in the background technology, and the present invention has the following beneficial effects: constructing a simulation model of a DC high-voltage generator, which is used to simulate the output voltage of the DC high-voltage generator, and analyzing and optimizing the simulation effect of the simulation model. After obtaining a qualified target simulation model, the DC high-voltage generator is simulated, analyzed and optimized for the voltage fluctuation state through the qualified target simulation model. After obtaining a DC high-voltage generator with a qualified voltage fluctuation state, the overvoltage protection performance of the DC high-voltage generator is evaluated and optimized to obtain a DC high-voltage generator with qualified voltage fluctuation control. The present invention realizes the voltage fluctuation simulation analysis of the DC high-voltage generator through a simulation model, and controls the voltage fluctuation of the DC high-voltage generator based on the simulation analysis results, thereby reducing possible safety hazards, preventing damage to the DC high-voltage generator, and extending the service life of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0052] Figure 1 A flow chart showing a method for controlling voltage fluctuation of a DC high voltage generator is shown;

[0053] Figure 2 A flow chart of a method for optimizing voltage fluctuation test and overvoltage protection of a DC high voltage generator is shown;

[0054] Figure 3A program view of a voltage fluctuation control system for a DC high voltage generator is shown. DETAILED DESCRIPTION

[0055] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0056] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0057] Figure 1 A flow chart showing a method for controlling voltage fluctuation of a DC high voltage generator is shown, comprising the following steps:

[0058] S102: constructing a simulation model of a DC high voltage generator, and performing a model simulation effect analysis on the simulation model of the DC high voltage generator;

[0059] S104: If the target simulation model is an unqualified target simulation model, performing simulation optimization adjustment on the unqualified target simulation model;

[0060] S106: Performing real-time simulation analysis and optimization of the voltage fluctuation state of the target DC high-voltage generator through the qualified target simulation model, and evaluating and optimizing the overvoltage protection performance of the target DC high-voltage generator.

[0061] Furthermore, in a preferred embodiment of the present invention, the step S102 is specifically:

[0062] Obtaining a DC high voltage generator to be analyzed, calibrating it as a target DC high voltage generator, and obtaining a historical data network, and retrieving the components of the target DC high voltage generator, the rated parameters of each component, and the circuit topology of the target DC high voltage generator from the historical data network;

[0063] Acquire simulation model construction software, in which, according to the constituent elements of the target DC high voltage generator, obtain simulation elements of the target DC high voltage generator, and, based on rated parameters of each constituent element, perform parameter setting on the simulation elements of all the target DC high voltage generators to obtain simulation elements of the target DC high voltage generator after parameter setting;

[0064] In the simulation model construction software, the simulation elements of the target DC high voltage generator after the control parameters are set are connected based on the circuit topology of the target DC high voltage generator to obtain a simulation model of the target DC high voltage generator, which is calibrated as the target simulation model;

[0065] Preset the simulation effect test time, control the target DC high voltage generator and the target simulation model to perform high voltage DC output processing within the simulation effect test time, and obtain the real-time output voltage of the target DC high voltage generator and the target simulation model within the simulation effect test time;

[0066] Based on the real-time output voltages of the target DC high voltage generator and the target simulation model during the simulation effect test time, construct a real-time output voltage waveform of the target DC high voltage generator and a real-time output voltage waveform of the target simulation model;

[0067] The correlation coefficient method is introduced to calculate the coincidence rate between the real-time output voltage waveform of the target DC high voltage generator and the real-time output voltage waveform of the target simulation model, and calibrate it as a type I waveform coincidence rate;

[0068] If the waveform overlap rate of one type is greater than a preset value, the target simulation model is calibrated as a qualified target simulation model; if the waveform overlap rate is less than the preset value, the target simulation model is calibrated as an unqualified target simulation model.

[0069] It should be noted that a DC high voltage generator is a device used to generate a high voltage DC output. In the process of generating high voltage DC by a DC high voltage generator, if the high voltage DC fluctuates severely, it may cause damage to the equipment or affect the experimental effect, product quality, production efficiency, etc., and bring safety hazards. Therefore, it is necessary to effectively control and adjust the fluctuation of high voltage DC. Effective fluctuation control and adjustment of high voltage DC requires control of the DC high voltage generator, and the control of the DC high voltage generator can be simulated in the form of a simulation model. The advantage of simulation control through a simulation model is that it can accurately simulate the fluctuation of the voltage generated by the DC high voltage generator, generate a waveform diagram, and facilitate fluctuation analysis. At the same time, simulation control through a simulation model can reduce safety hazards, because if a dangerous arc is released by controlling the real voltage fluctuation of the DC high voltage generator, the operator will be injured. To build a simulation model, it is necessary to first determine the components of the target DC high voltage generator, the rated parameters of each component, and the circuit topology of the target DC high voltage generator, and build a simulation model according to the above conditions in the simulation software. After the simulation model is constructed, it is necessary to determine whether the voltage output simulation of the simulation model is equal to the voltage output of the DC high voltage generator. If they are not equal, the simulation effect of the DC high voltage generator using the simulation model is poor, lacking rigor and accuracy. The coincidence rate of the waveforms can be obtained by analyzing the real-time output voltage waveform obtained by the simulation model and the real-time output voltage waveform obtained by the DC high voltage generator using the correlation coefficient method. The correlation coefficient method is to perform linear correlation calculation on the waveform signal to obtain the coincidence rate. The formula is:

[0070] ;

[0071] in, and are the values ​​of the two waveform signals at time i, and x and y are the means of the two waveform signals respectively.

[0072] After the overlap rate is calculated, the overlap rate is analyzed. If the overlap rate is greater than a preset value, the simulation model is judged to be qualified, otherwise it is unqualified, and an unqualified target simulation model is obtained.

[0073] Furthermore, in a preferred embodiment of the present invention, the step S104 is specifically:

[0074] If the target simulation model is an unqualified target simulation model, a temperature and humidity sensor is obtained, and the temperature and humidity around the target DC high voltage generator are obtained through the temperature and humidity sensor, and calibrated as the temperature and humidity around the target DC high voltage generator;

[0075] Introducing an environmental benchmark model, importing the ambient temperature and humidity of the target DC high voltage generator into the environmental benchmark model for model training, and obtaining an environmental training model;

[0076] A model compensation algorithm is introduced, and based on the model compensation algorithm, the environmental training model is combined with the unqualified target simulation model to obtain a type of target simulation model to be evaluated, and a real-time output voltage waveform of the type of simulation model to be evaluated is obtained. Based on the correlation coefficient method, the overlap rate between the real-time output voltage waveform of the type of simulation model to be evaluated and the real-time output voltage waveform of the target DC high-voltage generator is calculated, and calibrated as a type II waveform overlap rate;

[0077] If the overlap rate of the two types of waveforms is still less than the preset value, then obtaining simulation parameters of a type of simulation model to be evaluated, wherein the simulation parameters of the type of simulation model to be evaluated include a simulation step size and a simulation time;

[0078] The simulation parameters of a type of simulation model to be evaluated are dynamically adjusted, and simulation parameters that can make the overlap rate of the two types of waveforms greater than a preset value are selected and output to the type of simulation model to be evaluated, so as to obtain a qualified target simulation model.

[0079] It should be noted that if the target simulation model is an unqualified simulation model, the target simulation model needs to be processed so that the overlap rate of the voltage waveform obtained by it and the voltage waveform obtained by the DC high-voltage generator is greater than the preset value. The target simulation model is unqualified because there are complex factors in the actual environment, such as temperature and humidity changes, etc. The temperature and humidity changes will affect the DC high-voltage generator to output high DC, so it is necessary to adjust the environmental parameters during the simulation process to make it closer to the actual situation. Obtain the temperature and humidity around the target DC high-voltage generator, and construct an environmental training model based on the temperature and humidity around the target DC high-voltage generator. The constructed environmental training model is constructed from the environmental benchmark model, wherein the environmental benchmark model is a blank simulation model, that is, a simulation model that does not contain any parameters, but the function is to simulate environmental parameters. Fill in the temperature and humidity around the target DC high-voltage generator into the environmental benchmark model, and then train to obtain the environmental training model. Among them, the specific training method is that after the temperature and humidity around the target DC high voltage generator are imported into the environmental benchmark model, the environmental benchmark model is simulated and trained so that the model can simulate the temperature and humidity around the target DC high voltage generator in the display situation to obtain the environmental training model. In the environmental training model, the environmental parameters can be simulated in real time, and the role of the model compensation algorithm is to combine different simulation models. The model compensation algorithm combines the two simulation models and can be combined by writing code to achieve the purpose of tight coupling, that is, the model interacts more finely in each time step, which is equal to a model. The model compensation algorithm needs to obtain the time step of the two models, and coordinate the time step to synchronize them to achieve the purpose of tight coupling. The environmental model is a model that can simulate environmental parameters in real time, and based on the model compensation algorithm, the environmental model can be combined with the simulation model to achieve the setting of temperature and humidity parameters in the simulation model, and the temperature and humidity parameters are equal to the temperature and humidity around the target DC high voltage generator. After obtaining a type of target simulation model to be evaluated, obtain the output voltage waveform through the type of target simulation model to be evaluated, and continue to compare the waveform overlap rate of the output voltage waveform obtained by the type of target simulation model to be evaluated and the output voltage waveform obtained by the target DC high-voltage generator based on the correlation coefficient method. When the overlap rate is greater than the preset value, it proves that the target DC high-voltage generator is greatly affected by temperature and humidity, and the simulation model is qualified at this time. If the overlap rate is still less than the preset value, it is necessary to dynamically adjust the simulation parameters of the simulation model, where the simulation parameters include but are not limited to simulation time, simulation step size and other parameters. After the simulation parameters are adjusted, a qualified target simulation model is obtained.

[0080] Figure 2 A flow chart of a method for optimizing voltage fluctuation test and overvoltage protection of a DC high voltage generator is shown, comprising the following steps:

[0081] S202: Using the qualified target simulation model to perform load simulation change and high voltage DC simulation output, thereby performing voltage dynamic analysis and optimization on the target DC high voltage generator;

[0082] S204: performing load change response simulation analysis using the qualified target simulation model, and optimizing the dynamic qualified DC high voltage generator according to the load change response simulation analysis result;

[0083] S206: Optimize the overload protection performance evaluation of the DC high voltage generator that responds properly.

[0084] Furthermore, in a preferred embodiment of the present invention, the step S202 is specifically:

[0085] Obtain all loads ranging from no-load to rated load, calibrate them as standard load range, preset voltage fluctuation test time, and during the voltage fluctuation test time, control the qualified target simulation model to perform high voltage DC simulation output based on the standard load range to obtain the real-time output voltage of the target DC high voltage generator under different loads within the standard load range;

[0086] Based on the real-time output voltage of the target DC high voltage generator under different loads within the standard load range, construct an output voltage waveform diagram under different loads within the standard load range, and calculate the waveform slope change rate under different loads within the standard load range based on the output voltage waveform diagram under different loads within the standard load range;

[0087] Analyze the waveform slope change rates under different loads within the standard load range to determine whether the waveform slope change rates under all loads within the standard load range are less than a preset value;

[0088] If yes, the target DC high voltage generator is calibrated as a dynamically qualified DC high voltage generator;

[0089] If not, the controller parameter simulation debugging is performed in the qualified target simulation model, and the waveform slope change rate under different loads within the standard load range is monitored during the controller parameter simulation debugging;

[0090] If the waveform slope change rate under all loads within the standard load range is less than the preset value during the controller parameter simulation debugging process, then obtain the controller parameter that makes the waveform slope change rate under all loads within the standard load range less than the preset value, calibrate it as a dynamically qualified controller parameter, and apply the dynamically qualified controller parameter to the target DC high voltage generator to obtain a dynamically qualified DC high voltage generator;

[0091] If the waveform slope change rate under different loads within the standard load range is still greater than the preset value during the controller parameter simulation debugging process, simulated filtering adjustment is performed in the qualified target simulation model, and the filtering parameters that can make the waveform slope change rate under all loads within the standard load range less than the preset value are calibrated as qualified filtering parameters;

[0092] A filter is added to the power input terminal of the target DC high voltage generator, and qualified filtering parameters are applied to the filter to obtain a dynamically qualified DC high voltage generator.

[0093] It should be noted that the voltage fluctuation test of the DC high-voltage generator is simulated by the qualified target simulation model, and the DC high-voltage generator is processed by the voltage fluctuation test result, and the controller voltage fluctuation is within a safe range. The voltage fluctuation test time can be set, and within the voltage fluctuation test time, the qualified target simulation model is controlled to perform high-voltage DC simulation simulation output, and the result obtained by the simulation output is the result of the voltage output of the DC high-voltage generator. Since the DC high-voltage generator is affected by the load, the voltage output of the DC high-voltage generator under different loads is different, so in the high-voltage DC simulation output, it is necessary to determine the standard load range and obtain the real-time output voltage under different loads within the standard load range. The output voltage is different under different loads, and the output voltage waveform obtained is different. The DC high-voltage generator may have an abnormal output voltage waveform under a certain load, that is, the waveform slope change rate is greater than the preset value, because the stability of the DC high-voltage generator under different loads may be different. If the waveform slope change rate is greater than the preset value, it proves that the DC high-voltage generator has poor stability under the current load, and stability regulation is required to ensure that the output voltage of the DC high-voltage generator is stable, that is, the voltage fluctuation is relatively stable. The method for keeping the output voltage fluctuation of the DC high-voltage generator stable is to adjust the control parameters in the DC high-voltage generator, wherein the control parameters include adjusting the feedback loop gain parameters, the proportional integral differential parameters, etc. By adjusting the control parameters, the stability of the system to load changes can be improved. The control parameter adjustment simulation can be performed through the simulation model, and the most suitable control parameters are obtained and then output to the DC high-voltage generator. If the voltage fluctuation cannot remain stable after the control parameter debugging, that is, the waveform slope change rate is still greater than the preset value, a filter can be added at the input point of the DC high-voltage generator to suppress the fluctuation and noise of the input power supply to reduce the impact on the output voltage and improve the output voltage stability. The filter parameters are obtained by simulation adjustment of the qualified target simulation model, and finally a dynamic qualified DC high-voltage generator is obtained. The dynamic qualified DC high-voltage generator has good dynamic stability, that is, when working under all loads, the waveform slope change rate of the output voltage waveform of the DC high-voltage generator is less than the preset value.

[0094] Furthermore, in a preferred embodiment of the present invention, the step S204 is specifically:

[0095] The output voltage waveform of the dynamic qualified DC high voltage generator at no-load is obtained through the qualified target simulation model, which is calibrated as the no-load output voltage waveform, and the output voltage waveform of the dynamic qualified DC high voltage generator at rated load is obtained through the qualified target simulation model, which is calibrated as the rated load output voltage waveform;

[0096] Performing waveform analysis on the no-load output voltage waveform diagram and the rated load output voltage waveform diagram to obtain a waveform rise time, wherein the waveform rise time is the time it takes for the output voltage to change from no-load to rated load;

[0097] Analyze the waveform rise time and preset the maximum waveform rise time. If the waveform rise time is less than the maximum waveform rise time, the response speed of the dynamic qualified DC high voltage generator to the load change is evaluated as qualified and calibrated as a response qualified DC high voltage generator;

[0098] If the waveform rise time is greater than the waveform maximum rise time, the response speed of the dynamically qualified DC high voltage generator to the load change is evaluated as unqualified and calibrated as an unqualified response DC high voltage generator;

[0099] Using a voltage detection device to perform node voltage detection on all circuit nodes that respond to the unqualified DC high voltage generator, and obtaining standard node voltages of all circuit nodes, if the node voltage of a circuit node is not equal to the corresponding standard node voltage, then marking the corresponding circuit node as an abnormal circuit node;

[0100] The position of the abnormal circuit node in the responding unqualified DC high voltage generator is obtained, and based on the position of the abnormal circuit node in the responding unqualified DC high voltage generator, the faulty component of the responding unqualified DC high voltage generator is determined and marked as the responding abnormal component.

[0101] It should be noted that when the DC high-voltage generator is outputting voltage, it is necessary to evaluate the load change response speed, and the load change response speed is the time for the output voltage to change and reach stability when the load changes. If the load change response speed is slow, it proves that the dynamic stability of the DC high-voltage generator is still lacking, and the output voltage will fluctuate greatly during the operation of the DC high-voltage generator. First, it is necessary to obtain the output voltage waveform of the dynamically qualified DC high-voltage generator under no-load state and rated load state, and obtain the waveform rise time by performing waveform rise time on the two waveforms. The waveform rise time is the time required for the output voltage to change and reach stability when the load changes from no-load to rated load. If the waveform rise time is greater than the preset value, it proves that the load change response speed of the DC high-voltage generator is unqualified, and the DC high-voltage generator needs to be optimized and corrected. The reason why the load change response speed of the DC high-voltage generator is unqualified may be that there is an abnormal circuit connection in the DC high-voltage generator, that is, circuit damage, circuit short circuit, etc. Through voltage detection equipment, such as a multimeter, etc., node voltage detection is performed on all circuit nodes that respond to the unqualified DC high-voltage generator. Abnormal node voltage proves that the node may have a circuit fault and needs to be repaired. That is, the component at the corresponding position of the abnormal circuit node in the response to the unqualified DC high-voltage generator has a fault and needs to be repaired. After the repair, a qualified DC high-voltage generator is obtained.

[0102] Furthermore, in a preferred embodiment of the present invention, the step S206 is specifically:

[0103] Obtaining the maximum tolerable load of the qualified DC high-voltage generator, and performing an overload test on the qualified DC high-voltage generator, wherein the overload test is to control the load of the qualified DC high-voltage generator to be greater than the maximum tolerable load of the qualified DC high-voltage generator, and to determine whether the qualified DC high-voltage generator can trigger overload protection;

[0104] If not, the working parameters of the qualified DC high voltage generator in the overload protection device are obtained, and the Markov chain algorithm and the genetic algorithm are introduced to perform fault state iterative calculation on the working parameters of the qualified DC high voltage generator in the overload protection device to obtain the abnormal overload protection device components;

[0105] Replace the abnormal overload protection device components so that the qualified DC high voltage generator can trigger the overload protection, and calculate the time for the qualified DC high voltage generator that can trigger the overload protection to trigger the overload protection, which is calibrated as the overload response time;

[0106] If the overload response time is greater than the preset value, the algorithm for triggering overload protection in the qualified DC high-voltage generator that can trigger the overload protection is obtained and calibrated as the overload protection algorithm. The algorithm correction patch of the overload protection algorithm is retrieved and output in the historical data network, so that the overload response time is less than the preset value, and a DC high-voltage generator with qualified voltage fluctuation control is obtained.

[0107] It should be noted that the overload protection of the DC high-voltage generator is crucial to the safe operation and long-term stability of the equipment, because overload can cause the DC high-voltage generator to withstand current and voltage exceeding its design limit, resulting in overheating, insulation damage and even component burning. Overload protection of the DC high-voltage generator can extend the life of the equipment, ensure the safety of operators, maintain output voltage stability, etc. The qualified DC high-voltage generator is overloaded within the maximum tolerable load of the qualified DC high-voltage generator to determine whether it can trigger overload protection. If it cannot be triggered, it proves that the component controlling the overload protection in the qualified DC high-voltage generator is faulty and fault tracing is required. Markov chain algorithm is a probability-based algorithm used to describe the transition process of a series of events or states. The Markov chain algorithm is used to analyze the working parameters of the qualified DC high-voltage generator in the overload protection device to calculate the transition probability of the fault state between the components in the overload protection device. The core assumption of the Markov chain algorithm is that the future state of the system depends only on the current state and has nothing to do with the past state. The working parameters of the overload protection device are analyzed. The states of the components of the overload protection device may include normal working state, fault state and other intermediate states. The transition probability describes the possibility of transitioning from one state to another. The greater the transition probability, the greater the possibility of transitioning from one state to another, and the greater the probability of failure. The steps to implement the Markov chain algorithm are to first determine the component state, including only normal and fault states, collect the operating data of different components in the overload protection device under different states, and then construct a state transfer matrix. Based on the state transfer matrix, the transition probabilities of different components can be obtained. The greater the transition probability of the component, the greater the possibility of being a faulty component. Set the threshold of the transition probability of different components. If the transition probability of the component is greater than the corresponding threshold, it proves that the component has a problem. According to the transition probability, the component with the problem can be judged, that is, the abnormal overload protection device component. The genetic algorithm can achieve the effect of iterative calculation of the fault turntable transfer probability when the Markov chain algorithm is analyzed and executed, making the calculation effect more accurate. After replacing the abnormal overload protection device components, the DC high voltage generator can perform overload protection. However, if the overload protection time is abnormal, the DC high voltage generator may be burned out before the overload protection occurs. Therefore, it is necessary to optimize the algorithm for triggering overload protection so that the overload response time is less than the preset value to obtain a DC high voltage generator with qualified voltage fluctuation control.

[0108] In addition, the voltage fluctuation control method of a DC high voltage generator further includes the following steps:

[0109] Control the voltage fluctuation to control the qualified DC high voltage generator to continuously output high voltage DC, and use a thermal imager to detect the working temperature of the qualified DC high voltage generator in real time during the high voltage DC output process, and calibrate it as a Class I working temperature;

[0110] A dangerous working temperature is preset, and when a type of working temperature is greater than the dangerous working temperature, a heat dissipation control circuit of a DC high voltage generator with qualified voltage fluctuation control is obtained and calibrated as a target heat dissipation control circuit;

[0111] Performing circuit heat dissipation component fault detection on the target heat dissipation control circuit, wherein the circuit heat dissipation component fault detection is to determine whether the circuit heat dissipation component in the target heat dissipation control circuit is faulty by using a multimeter;

[0112] If so, replace the failed circuit heat dissipation element to obtain a qualified heat dissipation control circuit, operate the qualified voltage fluctuation control DC high-voltage generator with the qualified heat dissipation control circuit, and if the operating temperature of the qualified voltage fluctuation control DC high-voltage generator with the qualified heat dissipation control circuit during operation is still greater than the dangerous operating temperature, then it is necessary to determine the position where the operating temperature is still greater than the dangerous operating temperature and mark it as the abnormal temperature position;

[0113] An external cooling device is connected at the abnormal temperature position to ensure that the operating temperature of the DC high-voltage generator with qualified voltage fluctuation control and qualified heat dissipation control circuit is lower than the dangerous operating temperature during operation.

[0114] It should be noted that if the operating temperature of a DC high-voltage generator with qualified voltage fluctuation control is abnormal during operation, it will damage the components inside the equipment in the long run, affect the performance of the components, and may even bring safety hazards. Therefore, when the operating temperature of the equipment is higher than the dangerous operating temperature, the heat dissipation circuit is analyzed to determine the location of the fault and make corrections. The correction method is to replace the faulty component. If the temperature of the equipment is still abnormal after replacement, an external cooling device is required to cool the abnormal temperature position to ensure that the operating temperature is lower than the dangerous operating temperature during operation.

[0115] like Figure 3 As shown, the second aspect of the present invention further provides a voltage fluctuation control system for a DC high voltage generator, the voltage fluctuation control system comprising a memory 31 and a processor 32, the memory 31 stores a voltage fluctuation control method, and when the voltage fluctuation control method is executed by the processor 32, the following steps are implemented:

[0116] Constructing a simulation model of a direct current high voltage generator, and performing a model simulation effect analysis on the simulation model of the direct current high voltage generator;

[0117] If the target simulation model is an unqualified target simulation model, then the unqualified target simulation model is subjected to simulation optimization adjustment;

[0118] The voltage fluctuation state of the target DC high-voltage generator is simulated and analyzed in real time through the qualified target simulation model, and the overvoltage protection performance of the target DC high-voltage generator is evaluated and optimized.

[0119] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for controlling voltage fluctuation of a DC high voltage generator, characterized in that: The following steps are involved: S102: constructing a simulation model of a DC high voltage generator, and performing a model simulation effect analysis on the simulation model of the DC high voltage generator; S104: If the target simulation model is an unqualified target simulation model, performing simulation optimization adjustment on the unqualified target simulation model; S106: performing real-time simulation analysis and optimization of voltage fluctuation state of the target DC high voltage generator through the qualified target simulation model, and evaluating and optimizing overvoltage protection performance of the target DC high voltage generator; Wherein, the S102 is specifically: Obtaining a DC high voltage generator to be analyzed, calibrating it as a target DC high voltage generator, and obtaining a historical data network, and retrieving the components of the target DC high voltage generator, the rated parameters of each component, and the circuit topology of the target DC high voltage generator from the historical data network; Acquire simulation model construction software, in which, according to the constituent elements of the target DC high voltage generator, obtain simulation elements of the target DC high voltage generator, and, based on rated parameters of each constituent element, perform parameter setting on the simulation elements of all the target DC high voltage generators to obtain simulation elements of the target DC high voltage generator after parameter setting; In the simulation model construction software, the simulation elements of the target DC high voltage generator after the control parameters are set are connected based on the circuit topology of the target DC high voltage generator to obtain a simulation model of the target DC high voltage generator, which is calibrated as the target simulation model; Preset the simulation effect test time, control the target DC high voltage generator and the target simulation model to perform high voltage DC output processing within the simulation effect test time, and obtain the real-time output voltage of the target DC high voltage generator and the target simulation model within the simulation effect test time; Based on the real-time output voltages of the target DC high voltage generator and the target simulation model during the simulation effect test time, construct a real-time output voltage waveform of the target DC high voltage generator and a real-time output voltage waveform of the target simulation model; The correlation coefficient method is introduced to calculate the coincidence rate between the real-time output voltage waveform of the target DC high voltage generator and the real-time output voltage waveform of the target simulation model, and calibrate it as a type I waveform coincidence rate; If the waveform overlap rate of a type is greater than a preset value, the target simulation model is calibrated as a qualified target simulation model; if the waveform overlap rate is less than the preset value, the target simulation model is calibrated as an unqualified target simulation model; Wherein, the S104 is specifically: If the target simulation model is an unqualified target simulation model, a temperature and humidity sensor is obtained, and the temperature and humidity around the target DC high voltage generator are obtained through the temperature and humidity sensor, and calibrated as the temperature and humidity around the target DC high voltage generator; Introducing an environmental benchmark model, importing the ambient temperature and humidity of the target DC high voltage generator into the environmental benchmark model for model training, and obtaining an environmental training model; A model compensation algorithm is introduced, and based on the model compensation algorithm, the environmental training model is combined with the unqualified target simulation model to obtain a type of target simulation model to be evaluated, and a real-time output voltage waveform of the type of simulation model to be evaluated is obtained. Based on the correlation coefficient method, the overlap rate between the real-time output voltage waveform of the type of simulation model to be evaluated and the real-time output voltage waveform of the target DC high-voltage generator is calculated, and calibrated as a type II waveform overlap rate; If the overlap rate of the two types of waveforms is still less than the preset value, then obtaining simulation parameters of a type of simulation model to be evaluated, wherein the simulation parameters of the type of simulation model to be evaluated include a simulation step size and a simulation time; The simulation parameters of a type of simulation model to be evaluated are dynamically adjusted, and simulation parameters that can make the overlap rate of the two types of waveforms greater than a preset value are selected and output to the type of simulation model to be evaluated, so as to obtain a qualified target simulation model.

2. The voltage fluctuation control method of a DC high voltage generator according to claim 1, characterized in that: The S106 is specifically: Obtain all loads ranging from no-load to rated load, calibrate them as standard load range, preset voltage fluctuation test time, and during the voltage fluctuation test time, control the qualified target simulation model to perform high voltage DC simulation output based on the standard load range to obtain the real-time output voltage of the target DC high voltage generator under different loads within the standard load range; Based on the real-time output voltage of the target DC high voltage generator under different loads within the standard load range, construct an output voltage waveform diagram under different loads within the standard load range, and calculate the waveform slope change rate under different loads within the standard load range based on the output voltage waveform diagram under different loads within the standard load range; Analyze the waveform slope change rates under different loads within the standard load range to determine whether the waveform slope change rates under all loads within the standard load range are less than a preset value; If yes, the target DC high voltage generator is calibrated as a dynamically qualified DC high voltage generator; If not, the controller parameter simulation debugging is performed in the qualified target simulation model, and the waveform slope change rate under different loads within the standard load range is monitored during the controller parameter simulation debugging; If the waveform slope change rate under all loads within the standard load range is less than the preset value during the controller parameter simulation debugging process, then obtain the controller parameter that makes the waveform slope change rate under all loads within the standard load range less than the preset value, calibrate it as a dynamically qualified controller parameter, and apply the dynamically qualified controller parameter to the target DC high voltage generator to obtain a dynamically qualified DC high voltage generator; If the waveform slope change rate under different loads within the standard load range is still greater than the preset value during the controller parameter simulation debugging process, simulated filtering adjustment is performed in the qualified target simulation model, and the filtering parameters that can make the waveform slope change rate under all loads within the standard load range less than the preset value are calibrated as qualified filtering parameters; Adding a filter to the power input terminal of the target DC high voltage generator and applying qualified filtering parameters to the filter to obtain a dynamically qualified DC high voltage generator; The qualified target simulation model is used to perform load change response simulation analysis, and the dynamic qualified DC high voltage generator is optimized according to the load change response simulation analysis results.

3. The voltage fluctuation control method of a DC high voltage generator according to claim 2, characterized in that: The method of using the qualified target simulation model to simulate and analyze the load change response, and optimizing the dynamic qualified DC high voltage generator according to the load change response simulation analysis results, is specifically as follows: The output voltage waveform of the dynamic qualified DC high voltage generator at no-load is obtained through the qualified target simulation model, which is calibrated as the no-load output voltage waveform, and the output voltage waveform of the dynamic qualified DC high voltage generator at rated load is obtained through the qualified target simulation model, which is calibrated as the rated load output voltage waveform; Performing waveform analysis on the no-load output voltage waveform diagram and the rated load output voltage waveform diagram to obtain a waveform rise time, wherein the waveform rise time is the time it takes for the output voltage to change from no-load to rated load; Analyze the waveform rise time and preset the maximum waveform rise time. If the waveform rise time is less than the maximum waveform rise time, the response speed of the dynamic qualified DC high voltage generator to the load change is evaluated as qualified and calibrated as a response qualified DC high voltage generator; If the waveform rise time is greater than the waveform maximum rise time, the response speed of the dynamically qualified DC high voltage generator to the load change is evaluated as unqualified and calibrated as an unqualified response DC high voltage generator; Using a voltage detection device to perform node voltage detection on all circuit nodes that respond to the unqualified DC high voltage generator, and obtaining standard node voltages of all circuit nodes, if the node voltage of a circuit node is not equal to the corresponding standard node voltage, then marking the corresponding circuit node as an abnormal circuit node; Acquire the position of the abnormal circuit node in the DC high voltage generator that responds to the unqualified condition, and determine the faulty component of the DC high voltage generator that responds to the unqualified condition based on the position of the abnormal circuit node in the DC high voltage generator that responds to the unqualified condition, and mark it as the abnormal response component; The maintenance method of the abnormal component is retrieved and output in the historical data network to obtain the qualified DC high-voltage generator, and the overload protection performance of the qualified DC high-voltage generator is evaluated and optimized.

4. A method for controlling voltage fluctuation of a DC high voltage generator according to claim 3, characterized in that: The overload protection performance evaluation and optimization of the qualified DC high voltage generator is specifically as follows: Obtaining the maximum tolerable load of the qualified DC high-voltage generator, and performing an overload test on the qualified DC high-voltage generator, wherein the overload test is to control the load of the qualified DC high-voltage generator to be greater than the maximum tolerable load of the qualified DC high-voltage generator, and to determine whether the qualified DC high-voltage generator can trigger overload protection; If not, the working parameters of the qualified DC high voltage generator in the overload protection device are obtained, and the Markov chain algorithm and the genetic algorithm are introduced to perform fault state iterative calculation on the working parameters of the qualified DC high voltage generator in the overload protection device to obtain the abnormal overload protection device components; Replace the abnormal overload protection device components so that the qualified DC high voltage generator can trigger the overload protection, and calculate the time for the qualified DC high voltage generator that can trigger the overload protection to trigger the overload protection, which is calibrated as the overload response time; If the overload response time is greater than the preset value, the algorithm for triggering overload protection in the qualified DC high-voltage generator that can trigger the overload protection is obtained and calibrated as the overload protection algorithm. The algorithm correction patch of the overload protection algorithm is retrieved and output in the historical data network, so that the overload response time is less than the preset value, and a DC high-voltage generator with qualified voltage fluctuation control is obtained.

5. A voltage fluctuation control system for a DC high voltage generator, characterized in that: The voltage fluctuation control system includes a memory and a processor. The memory stores a voltage fluctuation control method program. When the voltage fluctuation control method program is executed by the processor, the voltage fluctuation control method steps as described in any one of claims 1 to 4 are implemented.

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