A pre-charged high voltage power supply and control method

Abstract

The application discloses a pre-charging high-voltage power supply and a control method, and relates to the technical field of high-voltage power supply control. The method comprises the following steps: collecting the dust concentration sequence and the power spark rate sequence of the space before and after dust removal in real time, calculating the average dust concentration, the average spark rate and the variation coefficients thereof; based on the comparison between the historical and current working conditions, dynamically generating multiple sets of adjustment amplitudes of proportional, integral and differential parameters; calculating the control conflict coefficient to adaptively configure the optimization step, and adopting an iterative optimization algorithm to adaptively optimize the PID control parameters, so that the optimal control parameters for maintaining efficient and stable operation under complex working conditions are finally obtained. The application effectively solves the problems that the fixed parameter PID control cannot adapt to dynamic working conditions and the multi-target conflict is difficult to balance, and significantly improves the dust removal efficiency, the operation stability and the energy consumption economy.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of high-voltage power supply control, in particular to a pre-charging high-voltage power supply and a control method. BACKGROUND

[0002] In the field of industrial waste gas treatment, plasma deodorization / dedusting technology is widely used due to its high efficiency. The pre-charging high-voltage power supply, as the core power supply equipment of this technology, its control precision directly determines the dedusting efficiency and operation stability of the system.

[0003] However, the existing pre-charging high-voltage power supply generally adopts a fixed parameter PID control strategy, which has the following significant defects: first, it cannot adapt to dynamic changes in working conditions. When the dust concentration in the waste gas increases, the load increases, causing unstable corona discharge and a sharp increase in spark rate, resulting in energy waste and equipment damage. When the concentration decreases, the response lag affects the dedusting efficiency. Second, it lacks the ability to optimize multiple parameters simultaneously. For indicators such as dedusting efficiency, spark rate, and energy consumption, which are mutually restrictive, it cannot automatically balance conflicting goals according to real-time working conditions, and relies on manual experience adjustment which lacks scientific nature. Third, it lacks adaptability to sudden working conditions. Since the dynamic mapping relationship between dust concentration, spark rate, and control parameters has not been established, the response is slow when encountering sudden changes in concentration and other working conditions, resulting in unstable dedusting effect and easy triggering of protection shutdown, which seriously affects the continuous operation reliability. SUMMARY

[0004] The present application provides a pre-charging high-voltage power supply and a control method to solve the technical problems of existing pre-charging high-voltage power supply fixed parameter control that cannot adapt to dynamic working conditions, multiple parameter conflicts that are difficult to optimize, and system response lag in sudden working conditions.

[0005] The technical solution of the present application to solve the above technical problems is as follows:

[0006] In a first aspect, the present application provides a pre-charging high-voltage power supply, comprising:

[0007] A data acquisition and feature extraction module for controlling sensors according to a preset frequency, acquiring a first dust concentration sequence and a second dust concentration sequence in a past preset time range in a first space and a second space, and acquiring a spark rate sequence of the pre-charging high-voltage power supply, calculating an average spark rate and a spark rate variation coefficient;

[0008] A performance evaluation and trend analysis module for calculating an average dust concentration according to the first dust concentration sequence, and calculating a dedusting efficiency variation coefficient according to the first dust concentration sequence and the second dust concentration sequence;

[0009] The parameter adjustment amplitude calculation module is configured to calculate a first proportional adjustment amplitude, a second proportional adjustment amplitude, a first differential adjustment amplitude, and a second differential adjustment amplitude according to the average dust concentration and the average spark rate, and to calculate a first integral adjustment amplitude and a second integral adjustment amplitude according to the dust removal efficiency change coefficient and the spark rate change coefficient.

[0010] The multi-target coordinated optimization control module is configured to calculate a control conflict coefficient according to the first proportional adjustment amplitude, the second proportional adjustment amplitude, the first differential adjustment amplitude, the second differential adjustment amplitude, the first integral adjustment amplitude, and the second integral adjustment amplitude, to configure an optimization parameter, to obtain a proportional adjustment amplitude, an integral adjustment amplitude, and a differential adjustment amplitude through optimization processing, and to perform PID control on the pre-charging high-voltage power supply.

[0011] In a second aspect, the present application provides a pre-charging high-voltage power supply control method, comprising:

[0012] The sensor is controlled at a preset frequency to collect a first dust concentration sequence and a second dust concentration sequence in a past preset time range in a first space and a second space, and to collect a spark rate sequence of the pre-charging high-voltage power supply, and to calculate an average spark rate and a spark rate change coefficient.

[0013] The average dust concentration is calculated according to the first dust concentration sequence, and the dust removal efficiency change coefficient is calculated according to the first dust concentration sequence and the second dust concentration sequence.

[0014] The first proportional adjustment amplitude, the second proportional adjustment amplitude, the first differential adjustment amplitude, and the second differential adjustment amplitude are calculated according to the average dust concentration and the average spark rate, and the first integral adjustment amplitude and the second integral adjustment amplitude are calculated according to the dust removal efficiency change coefficient and the spark rate change coefficient.

[0015] The control conflict coefficient is calculated according to the first proportional adjustment amplitude, the second proportional adjustment amplitude, the first differential adjustment amplitude, the second differential adjustment amplitude, the first integral adjustment amplitude, and the second integral adjustment amplitude, the optimization parameter is configured, the proportional adjustment amplitude, the integral adjustment amplitude, and the differential adjustment amplitude are obtained through optimization processing, and the pre-charging high-voltage power supply is controlled by PID.

[0016] The present application has the following beneficial effects:

[0017] Compared with the prior art, the application firstly realizes real-time perception of system operation state through multi-source sensing data fusion, providing data basis for accurate control; secondly, innovatively proposes a parameter adjustment amplitude calculation model based on dynamic working condition, realizing multi-dimensional adaptive adjustment of PID parameters; thirdly, through the introduction of control conflict coefficient and optimization step configuration mechanism, the target conflict problem between dust removal efficiency and spark rate is effectively solved; finally, the iterative optimization algorithm is used for automatic optimization, and finally the optimal control parameters that can maintain high efficient and stable operation under complex working conditions are obtained, which significantly improves the dust removal efficiency, energy consumption economy and operation reliability of the system. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 A structure schematic diagram of a pre-charged high-voltage power supply provided by the application is provided.

[0019] Figure 2 A flowchart of a pre-charged high-voltage power supply control method provided by the application is provided.

[0020] Figure 3 A logic diagram of a pre-charged high-voltage power supply control method provided by the application is provided.

[0021] In the drawings, the components represented by each reference numeral are as follows:

[0022] The data acquisition and feature extraction module 11, the performance evaluation and trend analysis module 12, the parameter adjustment amplitude calculation module 13, and the multi-objective coordinated optimization control module 14. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the application.

[0024] In the description of the application, the terms "first", "second" are used only for the purpose of description, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. In the description of the application, the meaning of "multiple" is two or more, unless otherwise specifically limited.

[0025] In the description of the present application, the term "for example" is used to mean "serving as an example, instance, or illustration." Any embodiment described as "for example" in the present application is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the application. In the following description, for the purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the present application. It will be apparent, however, to one skilled in the art that the present application can be practiced without using these specific details. In other instances, well-known structures and processes are not elaborated upon in order to avoid unnecessary detail, which can obscure the description of the present application. Thus, the present application is not intended to be limited by the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.

[0026] As shown in Embodiment One, Figure 1 The pre-charging high-voltage power supply provided by the embodiments of the present application comprises:

[0027] The data acquisition and feature extraction module 11 is configured to control the sensor according to a preset frequency, acquire a first dust concentration sequence and a second dust concentration sequence in a first space and a second space within a preset time range in the past, acquire a spark rate sequence of the pre-charging high-voltage power supply, and calculate an average spark rate and a spark rate variation coefficient.

[0028] Specifically, the data acquisition and feature extraction module 11 is configured to control the sensor according to a preset frequency, acquire a first dust concentration sequence and a second dust concentration sequence in a first space and a second space within a preset time range in the past, acquire a spark rate sequence of the pre-charging high-voltage power supply, and calculate an average spark rate and a spark rate variation coefficient, including:

[0029] The data acquisition and feature extraction module 11 is configured to control the sensor according to a preset frequency, acquire a first dust concentration sequence and a second dust concentration sequence in a first space and a second space within a preset time range in the past, acquire a spark rate sequence of the pre-charging high-voltage power supply, and calculate an average spark rate and a spark rate variation coefficient.

[0030] The data acquisition and feature extraction module 11 is configured to control the sensor according to a preset frequency, acquire a first dust concentration sequence and a second dust concentration sequence in a first space and a second space within a preset time range in the past, acquire a spark rate sequence of the pre-charging high-voltage power supply, and calculate an average spark rate and a spark rate variation coefficient.

[0031] The data acquisition and feature extraction module 11 is configured to control the sensor according to a preset frequency, acquire a first dust concentration sequence and a second dust concentration sequence in a first space and a second space within a preset time range in the past, acquire a spark rate sequence of the pre-charging high-voltage power supply, and calculate an average spark rate and a spark rate variation coefficient.

[0032] The data acquisition and feature extraction module 11 is configured to control the sensor according to a preset frequency, acquire a first dust concentration sequence and a second dust concentration sequence in a first space and a second space within a preset time range in the past, acquire a spark rate sequence of the pre-charging high-voltage power supply, and calculate an average spark rate and a spark rate variation coefficient.

[0033] First, control the preset sampling frequency in the sensor according to the preset frequency, control the dust sensor group, and synchronously collect the first space, i.e. the exhaust gas region before dust removal; the second space, i.e. the clean gas region after dust removal, within a preset time range, such as 10 minutes, the dust concentration data is formed into a first dust concentration sequence and a second dust concentration sequence respectively. The preset frequency control sensor refers to a hardware control mechanism that can automatically trigger sensor sampling at a set time interval (such as 5 seconds) through a programmable logic controller (PLC) or a microprocessor unit. By controlling the dust sensor group through the preset sampling frequency, the time sequence synchronization and consistency of data collection can be ensured, and the data correlation error caused by sampling time deviation can be avoided. Among them, the dust sensor group is an array detection device composed of multiple laser dust sensors, which uses light scattering principle to measure the particulate matter concentration in the gas in real time, has explosion-proof certification and high temperature resistance characteristics, and is suitable for long-term stable operation in industrial exhaust gas environment.

[0034] At the same time, through the spark detection unit integrated in the high-voltage power supply, the discharge spark signals within the same period are collected in real time, and converted into a spark rate sequence (times / minute) with minute as the statistical unit. Further, the obtained spark rate sequence is subjected to deep feature extraction: first, the arithmetic mean of the sequence is calculated to obtain the average spark rate index representing the discharge stability in the period; then the least square method is used to linearly trend fit the spark rate sequence, and the spark rate change coefficient is accurately quantified by solving the slope of the fitting straight line. The positive value of the spark rate change coefficient indicates that the spark rate shows an upward trend, and the negative value indicates that the spark rate shows a downward trend, and the absolute value size directly reflects the degree of change rate, which provides a key quantitative basis for predicting the system stability.

[0035] In summary, the static parameter set and dynamic characteristic quantity representing the current operating state are synchronously obtained, wherein the static parameters include the average dust concentration of the gas before dust removal and the average spark rate of the high-voltage power supply, which together reflect the real-time working condition intensity and discharge stability of the system; the dynamic characteristic quantity is the spark rate change coefficient extracted by trend analysis, which accurately quantifies the evolution direction and change rate of the operating state. Comprehensive data basis is provided for subsequent adaptive control.

[0036] The performance evaluation and trend analysis module 12 is configured to calculate an average dust concentration according to the first dust concentration sequence, and calculate a dust removal efficiency change coefficient according to the first dust concentration sequence and the second dust concentration sequence.

[0037] Specifically, the average dust concentration is calculated according to the first dust concentration sequence, and the dust removal efficiency change coefficient is calculated according to the first dust concentration sequence and the second dust concentration sequence, including:

[0038] The average dust concentration is calculated by calculating the mean value of the first dust concentration sequence.

[0039] According to the first dust concentration sequence and the second dust concentration sequence, a dedusting efficiency sequence is calculated;

[0040] The least square method is used to fit the dedusting efficiency sequence, and a dedusting efficiency change coefficient is obtained.

[0041] First, the arithmetic mean of all data points of the first dust concentration sequence, i.e., the space before dedusting, is calculated to obtain the average dust concentration. The average dust concentration = Σ (dust concentration value before dedusting) / number of data points, which directly reflects the average pollution load intensity of the waste gas to be treated within the statistical period, and is a basic index for evaluating the processing difficulty of the system.

[0042] Secondly, according to the first dust concentration sequence and the second dust concentration sequence collected synchronously, the instantaneous dedusting efficiency is calculated at each time point to generate the dedusting efficiency sequence. Dedusting efficiency = [(first dust concentration-second dust concentration) / first dust concentration] × 100%, and the dedusting efficiency sequence completely records the fluctuation of the dedusting performance at each sampling time, including the efficiency drop abnormal point, the efficiency stable maintenance section and the efficiency gradual change trend and other detailed features.

[0043] Finally, the least square method is used to linearly trend fit the dedusting efficiency sequence, and the dedusting efficiency change coefficient is obtained by solving the slope of the fitting straight line. The least square method is a mathematical optimization method that finds the best function matching of data by minimizing the sum of squares of errors. Specifically, a linear relationship model y = kt + b between dedusting efficiency and time is established, and the parameters k and b are solved by derivation to make Σ (y i -kt i -b) 2 minimum, where y i is the dedusting efficiency observation value at the i-th sampling time, t i is the relative or absolute time at the i-th sampling time, k is the slope of the fitting straight line, and b is the intercept of the fitting straight line on the time axis. The parameter k is the dedusting efficiency change coefficient required. The dedusting efficiency change coefficient accurately quantifies the dynamic change trend of the dedusting performance of the system. A positive slope indicates that the dedusting efficiency is improving, a negative slope indicates that the dedusting performance is deteriorating, and the absolute value of the slope reflects the degree of change rate. By calculating the dedusting efficiency and its change coefficient, the real-time dedusting performance can be quantitatively evaluated, and key decision-making basis is provided for performance warning and preventive control.

[0044] The parameter adjustment amplitude calculation module 13 is configured to calculate a first proportional adjustment amplitude, a second proportional adjustment amplitude, a first differential adjustment amplitude and a second differential adjustment amplitude according to the average dust concentration and the average spark rate, and to calculate a first integral adjustment amplitude and a second integral adjustment amplitude according to the dedusting efficiency change coefficient and the spark rate change coefficient.

[0045] After the quantitative assessment of the current state and performance trend is completed, i.e., the average dust concentration and the dust removal efficiency variation coefficient are obtained, the analysis results need to be converted into specific control instructions, and then the control parameter optimization phase is entered, and the mapping relationship between the working condition parameters and the PID control parameters is established to dynamically adjust the controller output. PID refers to Proportional-Integral-Derivative controller, which is a classical feedback control algorithm that generates control signals by comprehensively calculating the current error (proportion), error accumulation (integral), and error change rate (derivative). Specifically, the static working condition indicators obtained in the foregoing, including the average dust concentration and the average spark rate, are used to calculate the adjustment amplitude of the proportion and the derivative, and the dynamic trend indicators, including the dust removal efficiency variation coefficient and the spark rate variation coefficient, are used to determine the adjustment amplitude of the integral, so as to realize the fine adjustment of the PID control parameters.

[0046] Firstly, by comparing the current working condition parameters with the historical reference data, a quantitative basis is provided for the adjustment of the PID parameters.

[0047] Specifically, according to the average dust concentration and the average spark rate, a first proportional adjustment amplitude, a second proportional adjustment amplitude, a first derivative adjustment amplitude, and a second derivative adjustment amplitude are calculated and obtained, including:

[0048] The historical average dust concentration and the historical average spark rate of the pre-charging high-voltage power supply in the historical time are obtained.

[0049] The ratios of the historical average dust concentration and the historical average spark rate to the average dust concentration and the average spark rate are calculated, and a first proportional adjustment amplitude, a second proportional adjustment amplitude, a first derivative adjustment amplitude, and a second derivative adjustment amplitude are obtained.

[0050] Specifically, first, the reference parameters of the pre-charging high-voltage power supply in the historical normal operation period are obtained, including the historical average dust concentration and the historical average spark rate. The historical reference values represent the running characteristics of the pre-charging high-voltage power supply and the entire plasma deodorization / dust removal equipment system it serves in a typical stable state, serving as a reference for parameter adjustment.

[0051] In the PID control algorithm, the proportional coefficient (P) is used to respond to the current error of the system, the integral coefficient (I) is used to eliminate the accumulation of historical errors, and the derivative coefficient (D) is used to predict the trend of error change. According to the control characteristics of the pre-charging high-voltage power supply: when the dust concentration is detected to be high and the spark rate is high, it indicates that the load of the power supply is increasing, and the proportional coefficient needs to be reduced to avoid system overshoot oscillation, and the derivative coefficient needs to be increased to enhance the system damping to suppress rapid changes; when the dust removal efficiency change coefficient shows an upward trend and the spark rate change coefficient decreases, it indicates that the historical control effect is good and the system tends to be stable, and the integral coefficient can be appropriately reduced to reduce the redundant adjustment of past errors. Specifically, the ratio of the average dust concentration obtained in the current monitoring period to the historical average dust concentration, and the ratio of the average spark rate obtained in the current monitoring period to the historical average spark rate are calculated, and the adjustment range of the proportional and derivative parameters of the PID controller is derived:

[0052] The first proportional adjustment range = (historical average dust concentration / current average dust concentration)-1;

[0053] The second proportional adjustment range = (historical average spark rate / current average spark rate)-1;

[0054] The first derivative adjustment range = -[(historical average dust concentration / current average dust concentration)-1];

[0055] The second derivative adjustment range = -[(historical average spark rate / current average spark rate)-1].

[0056] Further, according to the dust removal efficiency change coefficient and the spark rate change coefficient, a first integral adjustment range and a second integral adjustment range are calculated, including:

[0057] According to the dust removal efficiency change coefficient, the first integral adjustment range is calculated, wherein the size of the dust removal efficiency change coefficient is negatively correlated with the size of the first integral adjustment range;

[0058] According to the spark rate change coefficient, the second integral adjustment range is calculated, wherein the size of the spark rate change coefficient is positively correlated with the size of the second integral adjustment range.

[0059] First, according to the dust removal efficiency change coefficient, the first integral adjustment range is calculated, and the reciprocal of the dust removal efficiency change coefficient is used as the adjustment range value, i.e. the first integral adjustment range = -dust removal efficiency change coefficient. This negative correlation means that when the dust removal efficiency shows an upward trend, i.e. the dust removal efficiency change coefficient is positive, the integral action is correspondingly weakened, and the historical control effect is good, and there is no need for strong integral to eliminate static error; when the dust removal efficiency decreases, i.e. the dust removal efficiency change coefficient is negative, the integral action is enhanced to compensate for the performance degradation.

[0060] Secondly, the second integral adjustment amplitude is calculated according to the spark rate change coefficient, and the second integral adjustment amplitude = the spark rate change coefficient is directly taken. The positive correlation ensures that when the spark rate rises, that is, the spark rate change coefficient is positive, the integral effect is enhanced to improve stability; when the spark rate decreases, that is, the spark rate change coefficient is negative, the integral effect is weakened to avoid excessive regulation.

[0061] The multi-objective coordinated optimization control module 14 is configured to calculate a control conflict coefficient according to the first proportional adjustment amplitude, the second proportional adjustment amplitude, the first differential adjustment amplitude, the second differential adjustment amplitude, the first integral adjustment amplitude, and the second integral adjustment amplitude, configure optimization parameters, and optimize the proportional adjustment amplitude, the integral adjustment amplitude, and the differential adjustment amplitude to perform PID control on the pre-charging high-voltage power supply.

[0062] Specifically, the control conflict coefficient is calculated according to the first proportional adjustment amplitude, the second proportional adjustment amplitude, the first differential adjustment amplitude, the second differential adjustment amplitude, the first integral adjustment amplitude, and the second integral adjustment amplitude, the optimization parameters are configured, and the proportional adjustment amplitude, the integral adjustment amplitude, and the differential adjustment amplitude are optimized to perform PID control on the pre-charging high-voltage power supply, including:

[0063] The deviation amplitudes between the first proportional adjustment amplitude and the second proportional adjustment amplitude, the first differential adjustment amplitude and the second differential adjustment amplitude, and the first integral adjustment amplitude and the second integral adjustment amplitude are calculated, and the mean values are calculated to obtain the control conflict coefficient;

[0064] The mean values of the first proportional adjustment amplitude and the second proportional adjustment amplitude, the first differential adjustment amplitude and the second differential adjustment amplitude, and the first integral adjustment amplitude and the second integral adjustment amplitude are calculated as the basic proportional adjustment amplitude, the basic integral adjustment amplitude, and the basic differential adjustment amplitude, respectively;

[0065] The optimization step is configured according to the control conflict coefficient;

[0066] The basic proportional adjustment amplitude, the basic integral adjustment amplitude, and the basic differential adjustment amplitude are taken as the optimization initial solution, and the optimization step is used to optimize the proportional adjustment amplitude, the integral adjustment amplitude, and the differential adjustment amplitude to perform PID control on the pre-charging high-voltage power supply.

[0067] Firstly, the difference between the adjustment suggestions from the two dimensions of dust concentration and spark rate is calculated, which is represented by calculating the deviation amplitude of the three groups of adjustment amplitudes respectively, so as to obtain the control conflict coefficient. Among them, the proportional term deviation amplitude is defined as the absolute value of the difference between the first proportional adjustment amplitude and the second proportional adjustment amplitude; the differential term deviation amplitude is defined as the absolute value of the difference between the first differential adjustment amplitude and the second differential adjustment amplitude; the integral term deviation amplitude is defined as the absolute value of the difference between the first integral adjustment amplitude and the second integral adjustment amplitude. The size of the deviation amplitude directly represents the coordination degree of the requirements of the dust concentration index and the spark rate index on the control system. The greater the difference, the more significant the conflict. Then, the arithmetic mean of the proportional term deviation amplitude, the differential term deviation amplitude and the integral term deviation amplitude is taken, and the arithmetic mean is determined as the control conflict coefficient. The greater the value of the control conflict coefficient, the more complex the current working condition, and the more prominent the conflict between the control targets, so a more cautious adjustment strategy needs to be taken.

[0068] Secondly, in order to coordinate the conflict between different indicators, the mean strategy is used to generate the basic adjustment amount. The basic proportional adjustment amplitude = (first proportional adjustment amplitude + second proportional adjustment amplitude) / 2; the basic differential adjustment amplitude = (first differential adjustment amplitude + second differential adjustment amplitude) / 2; the basic integral adjustment amplitude = (first integral adjustment amplitude + second integral adjustment amplitude) / 2. The mean strategy aims to balance the needs of different indicators, so as to form a basic proportional adjustment amplitude that takes into account the needs of all parties.

[0069] Further, the optimization step is dynamically configured according to the size of the control conflict coefficient. The greater the control conflict coefficient, the more significant the difference between the two types of adjustment amplitudes from dust concentration and spark rate, and the higher the uncertainty of the working condition analysis. At this time, the optimization step should be increased to improve the global exploration ability of the optimization algorithm and avoid the search process from falling into local optimum. The smaller the control conflict coefficient, the higher the consistency of the analysis result and the stronger the system certainty. At this time, the step should be reduced to prioritize the stability and accuracy of the adjustment. Optimization step = control conflict coefficient x maximum step, wherein the maximum step is the preset allowed maximum adjustment amount, such as 0.1. Through this adaptive mechanism, the globality of the search can be enhanced when the target conflict is significant and the analysis uncertainty is high, and the accuracy of the control can be guaranteed when the consistency is high, so as to realize efficient and robust optimization in the parameter space.

[0070] Finally, the basic proportional adjustment amplitude, the basic integral adjustment amplitude and the basic differential adjustment amplitude are used as the optimization initial solution, and the optimization step is used to perform optimization processing to obtain the proportional adjustment amplitude, the integral adjustment amplitude and the differential adjustment amplitude, and to perform PID control on the pre-charging high-voltage power supply, including:

[0071] The base proportional adjustment amplitude, the base integral adjustment amplitude and the base differential adjustment amplitude are adjusted by using the optimization step to obtain a first optimized proportional adjustment amplitude, a first optimized integral adjustment amplitude and a first optimized differential adjustment amplitude;

[0072] The proportional coefficient, the integral coefficient and the differential coefficient of the current PID control are adjusted by using the first optimized proportional adjustment amplitude, the first optimized integral adjustment amplitude and the first optimized differential adjustment amplitude to obtain a first proportional coefficient, a first integral coefficient and a first differential coefficient;

[0073] A first control fitness of the first proportional coefficient, the first integral coefficient and the first differential coefficient is processed and obtained;

[0074] The iterative optimization of the proportional adjustment amplitude, the integral adjustment amplitude and the differential adjustment amplitude is continuously performed until the proportional adjustment amplitude, the integral adjustment amplitude and the differential adjustment amplitude with the maximum control fitness are obtained, and the pre-charging high-voltage power supply is subjected to PID control.

[0075] First, the base proportional adjustment amplitude, the base integral adjustment amplitude and the base differential adjustment amplitude are taken as initial solutions, and first adjustment is performed thereon by using the configured optimization step. Specifically, a new set of parameters including a first optimized proportional adjustment amplitude, a first optimized integral adjustment amplitude and a first optimized differential adjustment amplitude is generated by adding or subtracting an optimization step value from each base adjustment amplitude. During the optimization process, when it is estimated that increasing the parameter can improve the system performance, such as when the conflict coefficient indicates that the differential action needs to be enhanced, an addition operation is performed on the base differential adjustment amplitude; when it is estimated that decreasing the parameter can improve the system performance, such as when the conflict coefficient indicates that the proportional action needs to be weakened, a subtraction operation is performed on the base proportional adjustment amplitude.

[0076] Secondly, the obtained first optimized adjustment amplitude is applied to the current PID controller parameter. Specifically, the current proportional coefficient, the integral coefficient and the differential coefficient are multiplied by the corresponding optimized adjustment amplitude to obtain new first proportional coefficient, first integral coefficient and first differential coefficient. First proportional coefficient = current proportional coefficient × (1 + first optimized proportional adjustment amplitude); first integral coefficient = current integral coefficient × (1 + first optimized integral adjustment amplitude); first differential coefficient = current differential coefficient × (1 + first optimized differential adjustment amplitude). Based on this, the adjustment amount obtained by optimization exploration is converted into actual available control parameters.

[0077] Further, a first control fitness of the first proportional coefficient, the first integral coefficient and the first differential coefficient is processed and obtained, including:

[0078] acquire the average dust removal efficiency and the average spark rate in the historical time according to the first proportional coefficient, the first integral coefficient and the first differential coefficient as the first dust removal efficiency and the first spark rate;

[0079] calculate the first control fitness according to the first dust removal efficiency and the first spark rate.

[0080] Since the control parameters obtained in the foregoing are candidate solutions generated in the iterative optimization process, the performance of the control parameters needs to be quantitatively evaluated. Specifically, first, after the system is controlled by using the first proportional coefficient, the first integral coefficient and the first differential coefficient and stably runs for a period of time, historical running data in the period of time is collected. The average dust removal efficiency and the average spark rate are acquired as the first dust removal efficiency and the first spark rate. The first dust removal efficiency and the first spark rate respectively reflect the dust removal ability and the running state stability of the control system.

[0081] Secondly, based on the obtained first dust removal efficiency and the first spark rate, the first control fitness is calculated, and the first control fitness = the first dust removal efficiency + (-the first spark rate). The first control fitness is a comprehensive evaluation index of the normalized dust removal performance and running stability, which is used to quantitatively evaluate the comprehensive performance of the control parameters and provide a direction guide and a selection basis for the iterative search of the optimization algorithm. The higher the control fitness value is, the better the overall performance is, which indicates that the parameter combination effectively suppresses the spark generation while improving the dust removal efficiency.

[0082] Finally, the basic proportional adjustment amplitude, the basic integral adjustment amplitude and the basic differential adjustment amplitude are used as the initial solution of optimization, and iterative search is performed in the parameter space according to the configured optimization step. By evaluating the control performance under different parameter combinations, the proportional adjustment amplitude, the integral adjustment amplitude and the differential adjustment amplitude that make the overall performance optimal are found. When the number of iterations exceeds the maximum value, or the optimal control fitness of the continuous 5 iterations is less than the preset threshold 0.1%, the optimization is terminated, which indicates that the performance has tended to be stable. Then, the proportional adjustment amplitude, the integral adjustment amplitude and the differential adjustment amplitude with the highest control fitness in the current iteration are output as the final optimization result, and are applied to the PID controller of the pre-charging high-voltage power supply, so as to realize multi-objective optimization of the system performance.

[0083] In summary, the embodiments of the present application have at least the following technical effects:

[0084] Compared with the prior art, the application firstly constructs a comprehensive system operation state perception system through dual-space dust concentration monitoring and multi-dimensional data fusion of spark rate, provides accurate data support for control decision, and overcomes the limitations of traditional single parameter control. Secondly, a parameter adjustment amplitude calculation model based on dynamic working conditions is innovatively established, through multiple coupling analysis of average dust concentration and spark rate, adaptive adjustment of proportional, integral and differential parameters is realized, and the system response speed and control accuracy are significantly improved. Thirdly, by introducing a control conflict coefficient and an optimization step configuration mechanism, the target conflict problem between dust removal efficiency and spark rate is effectively solved. Finally, an iterative optimization algorithm is used for automatic optimization, and the optimal control parameters that can maintain high efficient and stable operation under complex working conditions are finally obtained, which significantly improves the dust removal efficiency, energy economy and operation reliability of the system.

[0085] Embodiment two, as shown in the figure, the embodiment of the application provides a pre-charged high-voltage power supply control method, comprising: Figure 2

[0086] S10: control the sensor according to the preset frequency, collect the first dust concentration sequence and the second dust concentration sequence in the first space and the second space within the past preset time range, and collect the spark rate sequence of the pre-charged high-voltage power supply, calculate the average spark rate and the spark rate change coefficient;

[0087] S20: according to the first dust concentration sequence, calculate the average dust concentration, according to the first dust concentration sequence and the second dust concentration sequence, calculate the dust removal efficiency change coefficient;

[0088] S30: according to the average dust concentration and the average spark rate, calculate the first proportional adjustment amplitude, the second proportional adjustment amplitude, the first differential adjustment amplitude and the second differential adjustment amplitude, according to the dust removal efficiency change coefficient and the spark rate change coefficient, calculate the first integral adjustment amplitude and the second integral adjustment amplitude;

[0089] S40: according to the first proportional adjustment amplitude, the second proportional adjustment amplitude, the first differential adjustment amplitude, the second differential adjustment amplitude, the first integral adjustment amplitude and the second integral adjustment amplitude, calculate the control conflict coefficient, configure the optimization parameter, optimize the proportional adjustment amplitude, the integral adjustment amplitude and the differential adjustment amplitude, and perform PID control on the pre-charged high-voltage power supply.

[0090] Wherein, according to the preset frequency control sensor, collect the first dust concentration sequence and the second dust concentration sequence in the first space and the second space within the past preset time range, and collect the spark rate sequence of the pre-charged high-voltage power supply, calculate the average spark rate and the spark rate change coefficient, including:

[0091] ​The sensor is controlled according to a preset frequency to collect dust concentration in a preset time range in the first space and the second space, to obtain a first dust concentration sequence and a second dust concentration sequence, wherein the first space is a space before dust removal, and the second space is a space after dust removal;

[0092] A spark rate sequence in a preset time range is collected;

[0093] The mean value of the spark rate sequence is calculated to obtain an average spark rate;

[0094] The least square method is used to fit the spark rate sequence to obtain a spark rate change coefficient.

[0095] According to the first dust concentration sequence, an average dust concentration is calculated, and according to the first dust concentration sequence and the second dust concentration sequence, a dust removal efficiency change coefficient is calculated, including:

[0096] The mean value of the first dust concentration sequence is calculated to obtain an average dust concentration;

[0097] According to the first dust concentration sequence and the second dust concentration sequence, a dust removal efficiency sequence is calculated;

[0098] The least square method is used to fit the dust removal efficiency sequence to obtain a dust removal efficiency change coefficient.

[0099] Further, according to the average dust concentration and the average spark rate, a first proportional adjustment amplitude, a second proportional adjustment amplitude, a first differential adjustment amplitude and a second differential adjustment amplitude are calculated, including:

[0100] The historical average dust concentration and the historical average spark rate in a historical time of the pre-charging high-voltage power supply are obtained;

[0101] The ratio of the historical average dust concentration and the historical average spark rate to the average dust concentration and the average spark rate is calculated to obtain the first proportional adjustment amplitude, the second proportional adjustment amplitude, the first differential adjustment amplitude and the second differential adjustment amplitude.

[0102] According to the dust removal efficiency change coefficient and the spark rate change coefficient, a first integral adjustment amplitude and a second integral adjustment amplitude are calculated, including:

[0103] According to the dust removal efficiency change coefficient, the first integral adjustment amplitude is calculated, wherein the size of the dust removal efficiency change coefficient is negatively related to the size of the first integral adjustment amplitude;

[0104] According to the spark rate change coefficient, the second integral adjustment amplitude is calculated, wherein the size of the spark rate change coefficient is positively related to the size of the second integral adjustment amplitude.

[0105] Further, according to the first proportional adjustment range, the second proportional adjustment range, the first differential adjustment range, the second differential adjustment range, the first integral adjustment range and the second integral adjustment range, a control conflict coefficient is calculated, an optimization parameter is configured, and the proportional adjustment range, the integral adjustment range and the differential adjustment range are optimized to perform PID control on the pre-charged high-voltage power supply, comprising:

[0106] The deviation range between the first proportional adjustment range and the second proportional adjustment range, the first differential adjustment range and the second differential adjustment range, and the first integral adjustment range and the second integral adjustment range is calculated, and the mean value is calculated to obtain a control conflict coefficient;

[0107] The mean value of the first proportional adjustment range and the second proportional adjustment range, the first differential adjustment range and the second differential adjustment range, and the first integral adjustment range and the second integral adjustment range is calculated respectively as a basic proportional adjustment range, a basic integral adjustment range and a basic differential adjustment range;

[0108] According to the control conflict coefficient, an optimization step is configured;

[0109] The basic proportional adjustment range, the basic integral adjustment range and the basic differential adjustment range are taken as an optimization initial solution, and the optimization step is used to optimize the proportional adjustment range, the integral adjustment range and the differential adjustment range to perform PID control on the pre-charged high-voltage power supply.

[0110] The basic proportional adjustment range, the basic integral adjustment range and the basic differential adjustment range are taken as an optimization initial solution, and the optimization step is used to optimize the proportional adjustment range, the integral adjustment range and the differential adjustment range to perform PID control on the pre-charged high-voltage power supply, comprising:

[0111] The basic proportional adjustment range, the basic integral adjustment range and the basic differential adjustment range are adjusted by using the optimization step to obtain a first optimized proportional adjustment range, a first optimized integral adjustment range and a first optimized differential adjustment range;

[0112] The proportional coefficient, the integral coefficient and the differential coefficient of the current PID control are adjusted by using the first optimized proportional adjustment range, the first optimized integral adjustment range and the first optimized differential adjustment range to obtain a first proportional coefficient, a first integral coefficient and a first differential coefficient;

[0113] A first control fitness of the first proportional coefficient, the first integral coefficient and the first differential coefficient is processed and obtained;

[0114] The iteration optimization of the proportional adjustment range, the integral adjustment range and the differential adjustment range is continuously carried out until the proportional adjustment range, the integral adjustment range and the differential adjustment range with the maximum control fitness are obtained, and the PID control is performed on the pre-charging high-voltage power supply.

[0115] The first control fitness of the first proportional coefficient, the first integral coefficient and the first differential coefficient is processed, including:

[0116] The average dust removal efficiency and the average spark rate controlled according to the first proportional coefficient, the first integral coefficient and the first differential coefficient in the historical time are obtained as the first dust removal efficiency and the first spark rate.

[0117] According to the first dust removal efficiency and the first spark rate, the first control fitness is calculated and obtained.

[0118] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned describes the specific embodiments of the present application. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or can be advantageous.

[0119] The above-mentioned is only the preferred embodiment of the present application, and does not limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

[0120] The present application and the drawings are only exemplary description of the present application, and should be considered to cover any and all modifications, changes, combinations or equivalents within the scope of the present application. Obviously, those skilled in the art can make various modifications and changes to the present application without departing from the scope of the present application. Thus, if these modifications and changes of the present application belong to the scope of the present application and its equivalent technology, the present application intends to include these modifications and changes.

Claims

1. A pre-charged high voltage power supply, characterized by, The method comprises the following steps: a data acquisition and feature extraction module for controlling the sensor according to a preset frequency, collecting a first dust concentration sequence and a second dust concentration sequence in a first space and a second space within a past preset time range, collecting a spark rate sequence of the pre-charged high-voltage power supply, and calculating an average spark rate and a spark rate variation coefficient; a performance evaluation and trend analysis module for calculating an average dust concentration according to the first dust concentration sequence, and calculating a dust removal efficiency variation coefficient according to the first dust concentration sequence and the second dust concentration sequence; a parameter adjustment amplitude calculation module for calculating a first proportional adjustment amplitude, a second proportional adjustment amplitude, a first differential adjustment amplitude, and a second differential adjustment amplitude according to the average dust concentration and the average spark rate, and calculating a first integral adjustment amplitude and a second integral adjustment amplitude according to the dust removal efficiency variation coefficient and the spark rate variation coefficient; a multi-objective coordinated optimization control module for calculating a control conflict coefficient according to the first proportional adjustment amplitude, the second proportional adjustment amplitude, the first differential adjustment amplitude, the second differential adjustment amplitude, the first integral adjustment amplitude, and the second integral adjustment amplitude, configuring optimization parameters, and optimizing to obtain proportional adjustment amplitudes, integral adjustment amplitudes, and differential adjustment amplitudes for PID control of the pre-charged high-voltage power supply, wherein the execution steps of the multi-objective coordinated optimization control module comprise: calculating the deviation amplitudes between the first proportional adjustment amplitude and the second proportional adjustment amplitude, the first differential adjustment amplitude and the second differential adjustment amplitude, and the first integral adjustment amplitude and the second integral adjustment amplitude, and calculating the mean values to obtain the control conflict coefficient; respectively calculating the mean values of the first proportional adjustment amplitude and the second proportional adjustment amplitude, the first differential adjustment amplitude and the second differential adjustment amplitude, and the first integral adjustment amplitude and the second integral adjustment amplitude as the basic proportional adjustment amplitude, the basic integral adjustment amplitude, and the basic differential adjustment amplitude; configuring an optimization step length according to the control conflict coefficient; taking the basic proportional adjustment amplitude, the basic integral adjustment amplitude, and the basic differential adjustment amplitude as the optimization initial solution, and performing optimization processing according to the optimization step length to obtain proportional adjustment amplitudes, integral adjustment amplitudes, and differential adjustment amplitudes for PID control of the pre-charged high-voltage power supply.

2. The pre-charged high voltage power supply of claim 1, wherein, controlling the sensor according to a preset frequency, collecting a first dust concentration sequence and a second dust concentration sequence in a first space and a second space within a past preset time range, collecting a spark rate sequence of the pre-charged high-voltage power supply, and calculating an average spark rate and a spark rate variation coefficient, wherein the execution steps of the data acquisition and feature extraction module comprise: controlling the sensor according to a preset frequency, collecting a first dust concentration sequence and a second dust concentration sequence in a first space and a second space within a past preset time range, wherein the first space is the space before dust removal, and the second space is the space after dust removal; collecting a spark rate sequence within a past preset time range; calculating the mean value of the spark rate sequence to obtain an average spark rate; using the least squares method to fit the spark rate sequence to obtain a spark rate variation coefficient.

3. The pre-charged high voltage power supply of claim 1, wherein, According to the first dust concentration sequence, an average dust concentration is calculated, and according to the first dust concentration sequence and the second dust concentration sequence, a dust removal efficiency variation coefficient is calculated, and the execution steps of the performance evaluation and trend analysis module include: The mean value of the first dust concentration sequence is calculated to obtain an average dust concentration; According to the first dust concentration sequence and the second dust concentration sequence, a dust removal efficiency sequence is calculated; The least square method is used to fit the dust removal efficiency sequence to obtain a dust removal efficiency variation coefficient.

4. The pre-charged high voltage power supply of claim 1, wherein, According to the average dust concentration and the average spark rate, a first proportional adjustment amplitude, a second proportional adjustment amplitude, a first differential adjustment amplitude, and a second differential adjustment amplitude are calculated, and the execution steps of the parameter adjustment amplitude calculation module include: The historical average dust concentration and the historical average spark rate of the pre-charging high-voltage power supply in the historical time are obtained; The ratio of the historical average dust concentration and the historical average spark rate to the average dust concentration and the average spark rate is calculated to obtain the first proportional adjustment amplitude, the second proportional adjustment amplitude, the first differential adjustment amplitude, and the second differential adjustment amplitude.

5. The pre-charged high voltage power supply of claim 1, wherein, According to the dust removal efficiency variation coefficient and the spark rate variation coefficient, a first integral adjustment amplitude and a second integral adjustment amplitude are calculated, and the execution steps of the parameter adjustment amplitude calculation module further include: According to the dust removal efficiency variation coefficient, the first integral adjustment amplitude is calculated, wherein the size of the dust removal efficiency variation coefficient is negatively related to the size of the first integral adjustment amplitude; According to the spark rate variation coefficient, the second integral adjustment amplitude is calculated, wherein the size of the spark rate variation coefficient is positively related to the size of the second integral adjustment amplitude.

6. The pre-charged high voltage power supply of claim 1, wherein, The basic proportional adjustment amplitude, the basic integral adjustment amplitude, and the basic differential adjustment amplitude are used as the initial solution for optimization, and the proportional adjustment amplitude, the integral adjustment amplitude, and the differential adjustment amplitude are obtained by optimization processing according to the optimization step, and the PID control of the pre-charging high-voltage power supply is performed, and the execution steps of the multi-objective coordinated optimization control module further include: The basic proportional adjustment amplitude, the basic integral adjustment amplitude, and the basic differential adjustment amplitude are adjusted by the optimization step to obtain a first optimized proportional adjustment amplitude, a first optimized integral adjustment amplitude, and a first optimized differential adjustment amplitude; The first proportional adjustment amplitude, the first integral adjustment amplitude, and the first differential adjustment amplitude are used to adjust the proportional coefficient, the integral coefficient, and the differential coefficient of the current PID control to obtain a first proportional coefficient, a first integral coefficient, and a first differential coefficient; The first control fitness of the first proportional coefficient, the first integral coefficient, and the first differential coefficient is obtained. Iterative optimization of the proportional adjustment amplitude, the integral adjustment amplitude, and the differential adjustment amplitude is continued until the proportional adjustment amplitude, the integral adjustment amplitude, and the differential adjustment amplitude with the maximum control fitness are obtained for the PID control of the pre-charging high-voltage power supply.

7. The pre-charged high voltage power supply of claim 6, wherein, The first control fitness of the first proportional coefficient, the first integral coefficient, and the first differential coefficient is obtained, and the execution steps of the multi-objective coordinated optimization control module further include: Obtain the average dust removal efficiency and the average spark rate in the historical time according to the first proportional coefficient, the first integral coefficient and the first differential coefficient as the first dust removal efficiency and the first spark rate; According to the first dust removal efficiency and the first spark rate, calculate the first control fitness.

8. A pre-charging high voltage power supply control method, characterized by, A pre-charging high voltage power supply for implementing any one of claims 1-7, the method comprising: According to the preset frequency control sensor, collect the first dust concentration sequence and the second dust concentration sequence in the past preset time range in the first space and the second space, and collect the spark rate sequence of the pre-charging high voltage power supply, calculate the average spark rate and the spark rate change coefficient; According to the first dust concentration sequence, calculate the average dust concentration, and according to the first dust concentration sequence and the second dust concentration sequence, calculate the dust removal efficiency change coefficient; According to the average dust concentration and the average spark rate, calculate the first proportional adjustment amplitude, the second proportional adjustment amplitude, the first differential adjustment amplitude and the second differential adjustment amplitude, and according to the dust removal efficiency change coefficient and the spark rate change coefficient, calculate the first integral adjustment amplitude and the second integral adjustment amplitude; According to the first proportional adjustment amplitude, the second proportional adjustment amplitude, the first differential adjustment amplitude, the second differential adjustment amplitude, the first integral adjustment amplitude and the second integral adjustment amplitude, calculate the control conflict coefficient, configure the optimization parameter, optimize the proportional adjustment amplitude, the integral adjustment amplitude and the differential adjustment amplitude, and perform PID control on the pre-charging high voltage power supply, specifically including: Calculate the deviation amplitude between the first proportional adjustment amplitude and the second proportional adjustment amplitude, the first differential adjustment amplitude and the second differential adjustment amplitude, the first integral adjustment amplitude and the second integral adjustment amplitude, and calculate the average value to obtain the control conflict coefficient; Calculate the average value of the first proportional adjustment amplitude and the second proportional adjustment amplitude, the first differential adjustment amplitude and the second differential adjustment amplitude, and the first integral adjustment amplitude and the second integral adjustment amplitude respectively as the basic proportional adjustment amplitude, the basic integral adjustment amplitude and the basic differential adjustment amplitude; According to the control conflict coefficient, configure the optimization step; take the basic proportional adjustment amplitude, the basic integral adjustment amplitude and the basic differential adjustment amplitude as the optimization initial solution, and according to the optimization step, optimize the proportional adjustment amplitude, the integral adjustment amplitude and the differential adjustment amplitude to perform PID control on the pre-charging high voltage power supply.

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