Centralized control method for frequency conversion starting and speed regulation system of compressed air energy storage compressor
By starting the stabilization and decentralization attributes of the numerical point in the compressor compressor variable frequency frequency conversion and speed regulation system, the computing weight factor and the weighted reputation average algorithm cleaning are performed to solve the controller when charging the speed value The accuracy problem has achieved more efficient speed monitoring and cleaning effects.
Patent Information
- Application Number
- CN202411901611.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-23
- Publication Date
- 2025-01-24
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the prior art, the controller of the frequency conversion start and speed regulation system of the compressed air energy storage compressor is susceptible to external magnetic field disturbance when collecting the motor speed value, resulting in errors in the speed value, and the use of constant weight factors in the weighted recursive averaging algorithm can easily lead to The speed value is too much or insufficient, resulting in low accuracy.
By collecting the motor speed value queue sampled by the speed sensor, the stable attributes and dispersion attributes within the retrieval interval of each value point are calculated, the modulus of the binary vector is formed to represent the changing attributes, the weighting factor is calculated and cleaned using the weighted recursive average algorithm Speed value queue to improve the accuracy of speed value.
It effectively improves the accuracy of the motor speed value processed by the controller, prevents numerical distortion, and improves the monitoring accuracy of the motor speed.
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Figure CN119362960A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of compressed air energy storage compressor control, and in particular relates to a centralized control method for a variable frequency starting and speed regulation system of a compressed air energy storage compressor. Background Art
[0002] Compressed air energy storage refers to a storage method that uses electrical energy to compress air during the low load period of the power grid, and releases the compressed air to drive the steam turbine to generate electricity during the peak load period of the power grid.
[0003] In terms of centralized control of the variable frequency starting and speed regulation system of the compressed air energy storage compressor, the existing technical solution with patent announcement number "CN117791719B" is often used to achieve the variable frequency starting and speed regulation of the compressed air energy storage compressor, which includes a frequency converter, the output end of the frequency converter is connected to the motors of each compressor used for compressed air energy storage, and the controller in the frequency converter is used to control the starting of the motor and the variable speed operation of the compressor.
[0004] During the period when the controller in the inverter controls the start of the motor and the variable speed operation of the compressor, the controller in the inverter is also used to control the external excitation device to adjust the speed of the motor. Based on this, the speed value of the motor must be monitored. Specifically, the controller in the inverter is connected to the speed sensor and the LCD screen. The speed sensor samples the speed value of the motor and transmits it to the controller. The controller sends the collected speed value of the motor to the LCD screen for display, thereby achieving the monitoring of the motor speed.
[0005] The controller in the frequency converter is often affected by various disturbances of the external magnetic field during the actual collection of the motor speed value, which makes the collected motor speed value erroneous. Therefore, during the collection of the motor speed value, the motor speed value must be cleaned to improve the accuracy of the controller sending the collected motor speed value to the LCD screen for display.
[0006] At present, the method of cleaning the speed value of the motor generally uses a weighted recursive averaging algorithm to clean the speed value of the motor. The weighted recursive averaging algorithm requires configuration of the weight factors within the weighted recursive averaging algorithm. However, the weight factors obtained in the current specific application are not suitable for the processing of the speed value of the motor. Summary of the invention
[0007] In order to solve the defects in the prior art, the present invention proposes a centralized control method for a variable frequency starting and speed regulation system of a compressed air energy storage compressor, which collects a queue of motor speed values sampled by a speed sensor; takes an arbitrary numerical point as a target numerical point, obtains the standard deviation of the search interval of the target numerical point, and identifies the stable attribute of the target numerical point; obtains the amount obtained by subtracting each numerical point in the search interval of the target numerical point from the median of the search interval, and identifies the dispersed attribute of the target numerical point; takes the modulus of a binary vector formed by the stable attribute and the dispersed attribute of the target numerical point as the variable attribute of the target numerical point in the search interval, and identifies the representation amplitude of the variable attribute of the target numerical point; calculates the A weight factor is obtained, and a weighted recursive averaging algorithm is used to clean the target numerical point using the weighted recursive averaging algorithm to obtain the speed value of the motor after the final processing; based on this, the speed value queue is cleaned using the weighted recursive averaging algorithm, which can effectively improve the overall performance of the collected motor speed value, thereby effectively improving the accuracy of the motor speed value after the controller processes it; in addition, the present invention also obtains the weight factor of the target numerical point by analyzing the numerical change trend of the numerical point within the retrieval interval of the target numerical point, which can prevent numerical distortion, thereby effectively improving the accuracy of the motor speed value after the controller processes it, which is suitable for the processing of the motor speed value, and finally improves the monitoring of the motor speed.
[0008] The present invention utilizes the following technical solutions.
[0009] A centralized control method for a variable frequency starting and speed regulation system of a compressed air energy storage compressor, comprising: The controller in the frequency converter controls the starting of the motor and the variable speed operation of the compressor; During the period when the controller in the inverter controls the start of the motor and the variable speed operation of the compressor, the controller in the inverter also controls the external excitation device to adjust the speed of the motor; the speed sensor samples the speed value of the motor and transmits it to the controller, and the controller processes the collected speed value of the motor and sends it to the LCD screen for display, thereby achieving the monitoring of the motor speed; The method in which the controller processes the received speed value of the motor includes: Step 1, collecting the speed value queue of the motor sampled by the speed sensor; Step 2, take a random numerical point as the target numerical point, obtain the standard deviation of the search interval of the target numerical point, and determine the stable attribute of the target numerical point; Step 3, obtaining the amount obtained by subtracting each numerical point in the target numerical point search interval from the median of the search interval, and determining the dispersion attribute of the target numerical point; Step 4, taking the modulus of the binary vector formed by the stable attribute and the scattered attribute of the target numerical point as the variable attribute of the target numerical point in the search interval, and determining the representation amplitude of the variable attribute of the target numerical point; Step 5, calculate the weight factor of the target numerical point, and use the weight factor to perform a weighted recursive averaging algorithm to clean the target numerical point to obtain the final processed motor speed value.
[0010] Furthermore, in step 1, the rotation speed value queue contains a number of value points arranged in the order of sampling time points of the rotation speed sensor, and a search interval of the value points is pre-defined in the rotation speed value queue.
[0011] Furthermore, in step 1, when obtaining the search interval of a numerical point, the numerical point is used as the last numerical value in the search interval, and the search interval of the numerical point is constructed within the previous numerical points before the numerical point. The search interval of the obtained numerical point contains the numerical point itself.
[0012] Furthermore, in step 2, the stable property operation equation of the target numerical point is determined to be: ;
[0013] In the equation, Represents the stable properties of the target numerical point, The number of value points in the search interval representing the target value point. Represents the target value point in the search interval The decrement value of the numerical point, Represents the standard deviation of the search interval for the target value point.
[0014] Furthermore, in step 3, the dispersion attribute operation equation of the target numerical point is determined to be: ;
[0015] In the equation, Represents the scattered properties of the target numerical point, The number of value points in the search interval representing the target value point. The first value in the search interval representing the target value point numerical points, Represents the median value of the search interval for the target numerical point.
[0016] Furthermore, in step 4, when determining the representation amplitude of the target numerical point on the variable attribute, first determine the effect of the target numerical point on the stable attribute; then determine the effect of the target numerical point on the dispersed attribute, and the effect of the dispersed attribute is inversely proportional to the dispersed attribute of the target numerical point; then calculate and obtain the representation amplitude of the target numerical point on the variable attribute.
[0017] Furthermore, in step 4, it is determined that the action equation of the target value point on the stability attribute is: ;
[0018] In the equation, Represents the effect of the target value point on the stable attribute, Represents the decrement value of the target value point, Represents the stable properties of the destination numerical point.
[0019] Furthermore, in step 4, it is determined that the action equation of the target value point on the dispersion attribute is: ;
[0020] In the equation, Represents the effect of the target value point on the scattered attribute, Represents the value of the target numerical point, Represents the median value of the search interval of the target numerical point, Represents the scattered properties of the target numerical point.
[0021] Furthermore, in step 4, the amplitude of the target value point representing the change attribute is determined, and the calculation equation is: ;
[0022] In the equation, Represents the amplitude of the target numerical point, Represents the effect of the target value point on the stable attribute, Represents the effect of the target value point on the scattered attribute, Represents the changing properties of the target value point in the search interval.
[0023] Further, in step 5, the weight factor calculation equation for the target value point is determined to be: ;
[0024] In the equation, Represents the weight factor of the target value point, Represents the amplitude of the target numerical point, Represents the changing properties of the target value point within the search interval. represents the enhancement index, Represents the Euler number.
[0025] Furthermore, in step 5, the weighted recursive averaging algorithm is used to clean the target value point in combination with the weight factor of the target value point to obtain the final speed value of the motor after processing.
[0026] A centralized control device for a variable frequency starting and speed regulation system of a compressed air energy storage compressor, comprising: A frequency converter, the output end of which is connected to the motors of the compressors for compressed air energy storage, and a controller in the frequency converter is used to control the starting of the motors and the variable speed operation of the compressors; During the period when the controller in the inverter controls the starting of the motor and the variable speed operation of the compressor, the controller in the inverter is also used to control the external excitation device to adjust the speed of the motor; The controller in the frequency converter is also connected to the speed sensor and the LCD screen. The speed sensor is used to sample the speed value of the motor and transmit it to the controller. The controller is used to process the collected speed value of the motor and send it to the LCD screen for display, so as to monitor the speed of the motor. The modules running on the controller include: A queue module, which is used to collect the speed value queue of the motor sampled by the speed sensor; A recognition module, which is used to take a random numerical point as a target numerical point, obtain the standard deviation of the search interval of the target numerical point, and recognize the stable attribute of the target numerical point; A dispersion module, which is used to obtain the amount obtained by subtracting each numerical point in the target numerical point search interval from the median of the search interval, and to identify the dispersion attribute of the target numerical point; A characterization module, which is used to treat the modulus of the binary vector formed by the stable attribute and the scattered attribute of the target numerical point as the variable attribute of the target numerical point in the search interval, and to identify the characterization amplitude of the target numerical point for the variable attribute; The cleaning module is used to calculate the weight factor of the target value point, and use the weight factor to perform a weighted recursive average algorithm to clean the target value point to obtain the final processed motor speed value.
[0027] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include: By performing cleaning on the speed value queue through the weighted recursive averaging algorithm, the overall performance of the collected motor speed values can be effectively improved, thereby effectively improving the accuracy of the motor speed values after being processed by the controller; in addition, the present invention also obtains the weight factor of the target value point by analyzing the numerical change trend of the numerical point within the retrieval interval of the target value point, which can prevent numerical distortion, thereby effectively improving the accuracy of the motor speed value after being processed by the controller, which is suitable for the processing of the motor speed value, and finally improves the monitoring of the motor speed. BRIEF DESCRIPTION OF THE DRAWINGS
[0028] Figure 1 It is a flow chart of the centralized control method of the variable frequency starting and speed regulation system of the compressed air energy storage compressor described in the present invention; Figure 2 It is a partial structural diagram of the centralized control device of the variable frequency starting and speed regulation system of the compressed air energy storage compressor described in the present invention. DETAILED DESCRIPTION
[0029] The controller in the frequency converter is often affected by various disturbances of the external magnetic field during the actual collection of the motor speed value, which makes the collected motor speed value erroneous. Therefore, during the collection of the motor speed value, the motor speed value must be cleaned to improve the accuracy of the controller sending the collected motor speed value to the LCD screen for display.
[0030] The weighted recursive averaging algorithm is a cleaning method with good performance in removing erroneous values, and the speed value of the motor usually has its own variable properties. When the speed value of the motor obtained by the controller is processed by this method, if a constant weight factor is used for all the speed values of the motor, some speed values will often be over-cleaned or under-cleaned, causing the properties of the speed value itself to be excessively cleaned, resulting in speed value loss.
[0031] Therefore, the present application can effectively improve the accuracy of the speed value of the motor received by the controller.
[0032] In order to make the purpose, technical solution and advantages of the present invention clearer, the following will be combined with the drawings in the embodiments of the present invention to clearly and completely express the technical solution of the present invention. The embodiments expressed in this application are only partial embodiments of the present invention, not all embodiments. According to the spirit of the present invention, other embodiments obtained by technicians in this field without creative work are all within the protection scope of the present invention.
[0033] like Figure 1 As shown, the centralized control method of the variable frequency starting and speed regulation system of a compressed air energy storage compressor described in the present invention comprises: The controller in the frequency converter controls the starting of the motor and the variable speed operation of the compressor; During the period when the controller in the inverter controls the start of the motor and the variable speed operation of the compressor, the controller in the inverter also controls the external excitation device to adjust the speed of the motor; the speed sensor samples the speed value of the motor and transmits it to the controller, and the controller processes the collected speed value of the motor and sends it to the LCD screen for display, thereby achieving the monitoring of the motor speed; The method in which the controller processes the received speed value of the motor includes: Step 1, collecting the speed value queue of the motor sampled by the speed sensor; In a preferred but non-limiting embodiment of the present invention, in step 1, the speed value queue contains a number of numerical points (a numerical point is the speed value of a motor) arranged in chronological order according to the sampling time points of the speed sensor, and a retrieval interval of the numerical points is pre-defined in the speed value queue.
[0034] Adjacent numerical points in the speed value queue are subject to the same motor specifications and load arrangement, and their numerical representations will have interval correlations. When collecting speed values, this application determines the weight factor of each numerical point by analyzing the numerical change attributes of the numerical point within its search interval.
[0035] In a preferred but non-limiting embodiment of the present invention, in step 1, when obtaining a search interval for a numerical point, the current numerical point is used as the last numerical value in the search interval, and a search interval for the numerical point is constructed in the past numerical points before the numerical point, and the obtained search interval for the numerical point includes the numerical point itself. Constructing a search interval for the numerical point in the past numerical points before the numerical point means that an interval formed by a set number of past numerical points before the numerical point is used as the search interval for the numerical point.
[0036] Here, the number of rotation speed values in the search interval of the numerical point is set according to specific requirements.
[0037] The search interval for obtaining the numerical point is based on the previous numerical points collected before the numerical point. This can avoid the situation where the subsequent numerical points must be collected before the current numerical point can be cleaned, thereby effectively reducing the adverse effects of the speed value cleaning delay on the subsequent speed value processing.
[0038] After obtaining the retrieval interval of each numerical point according to the above method, we can then analyze the representation amplitude of the numerical point to the numerical change attribute in the retrieval interval. If the numerical change attribute in the retrieval interval of the numerical point is more significant, then the representation amplitude of the numerical point to the numerical change attribute will also be larger. Correspondingly, the cleaning index of the numerical point should also be lower to reduce the probability of excessive cleaning. Here, the numerical change attribute in the retrieval interval of the numerical point can be represented by the stability attribute and dispersion attribute of the numerical point.
[0039] Step 2, take a random numerical point as the target numerical point, obtain the standard deviation of the search interval of the target numerical point, and determine the stable attribute of the target numerical point; The stability attribute of the target numerical point can characterize the trend and timing change of the numerical point within the search interval of the target numerical point. The smaller the stability attribute of the target numerical point is, the more significant the change trend of the search interval of the target numerical point is.
[0040] In a preferred but non-limiting embodiment of the present invention, in step 2, the stability attribute of the target numerical point is inversely proportional to the standard deviation of the search interval of the target numerical point; the calculation equation for determining the stability attribute of the target numerical point is: ;
[0041] In the equation, Represents the stable properties of the target numerical point, The number of value points in the search interval representing the target value point. Represents the target value point in the search interval The decrement value of the numerical point (the decrement value is the decrement value of the target numerical point in the search interval) Subtract the value point numerical points), Represents the standard deviation of the search interval for the target value point.
[0042] In the above equation, the standard deviation The higher it is, the higher the fluctuation amplitude of the search interval of the target numerical point is, the weaker the numerical stability within the search interval is, and the weaker the stability attribute of the target numerical point is.
[0043] The decrement value of a numerical point can represent the changing trend or speed of the numerical point. By summing up the decrement values of each numerical point in the search interval, the total change in the search interval can be obtained. The total change can represent the aggregation effect of the overall change in the search interval of the numerical point. The lower the total change, the less significant the numerical change trend is, that is, the numerical change in the search interval is relatively stable, and the stability attribute of the target numerical point is better.
[0044] Step 3, obtaining the amount obtained by subtracting each numerical point in the target numerical point search interval from the median of the search interval, and determining the dispersion attribute of the target numerical point; The median of the retrieval interval of a numerical point can accurately represent the prominent trend of the numerical value in the retrieval interval. When the numerical distribution is uneven or there is a large fluctuation, the median can often better represent the main trend of the numerical value. The amount obtained by subtracting each numerical point from the median in the retrieval interval can represent the amplitude of each numerical point's deviation from the main trend.
[0045] In a preferred but non-limiting embodiment of the present invention, in step 3, the modulus of the quantity obtained by subtracting each numerical point in the target numerical point search interval from the median of the search interval is proportional to the dispersion attribute of the target numerical point; the dispersion attribute calculation equation for determining the target numerical point is: ;
[0046] In the equation, Represents the scattered properties of the target numerical point, The number of value points in the search interval representing the target value point. The first value in the search interval representing the target value point numerical points, Represents the median value of the search interval for the target numerical point.
[0047] In the above equation, The total amount of difference between each numerical point and the median in the search interval representing the target numerical point. The higher the amount, the more dispersed the numerical points in the search interval are; the lower the amount, the more concentrated the numerical points in the search interval are.
[0048] After obtaining the stable and dispersed attributes of the numerical points according to the above method, the numerical change attributes of the numerical points within the search interval can be represented according to the stable and dispersed attributes of the numerical points, and the representation amplitude of the target numerical point for the change attributes can be determined.
[0049] Step 4, taking the modulus of the binary vector formed by the stable attribute and the scattered attribute of the target numerical point as the variable attribute of the target numerical point in the search interval, and determining the representation amplitude of the variable attribute of the target numerical point; The higher the modulus of the binary vector formed by the stable attribute and the dispersed attribute of the target numerical point (the stable attribute and the dispersed attribute of the numerical point constitute the two elements of the binary vector respectively), the more significant the overall change of the numerical point in the two categories of stable attribute and dispersed attribute in the retrieval interval of the target numerical point is, and the more significant the variable attribute of the numerical point in the retrieval interval is. However, the stable attribute and the dispersed attribute of the target numerical point are obtained based on the changing trend of the numerical point in the retrieval interval of the target numerical point. Therefore, when determining the representation amplitude of the target numerical point on the variable attribute, it is necessary to analyze the effect of the target numerical point on the overall stable attribute and dispersed attribute of the numerical point in the retrieval interval. The greater the effect of the target numerical point, the greater the representation amplitude of the target numerical point on the variable attribute.
[0050] In a preferred but non-limiting implementation of the present invention, in step 4, when determining the representation amplitude of the target numerical point on the variable attribute, first determine the effect of the target numerical point on the stable attribute, and the effect of the stable attribute is inversely proportional to the stable attribute of the target numerical point; then determine the effect of the target numerical point on the dispersed attribute, and the effect of the dispersed attribute is inversely proportional to the dispersed attribute of the target numerical point; then calculate and obtain the representation amplitude of the target numerical point on the variable attribute.
[0051] In a preferred but non-limiting embodiment of the present invention, in step 4, the action equation of the target value point on the stability attribute is determined to be: ;
[0052] In the equation, Represents the effect of the target value point on the stable attribute, Represents the decrement value of the target value point (the decrement value is the amount obtained by subtracting the previous value point from the target value point). Represents the stable properties of the destination numerical point.
[0053] In a preferred but non-limiting embodiment of the present invention, in step 4, the action equation of the target value point on the dispersion attribute is determined to be: ;
[0054] In the equation, Represents the effect of the target value point on the scattered attribute, Represents the value of the target numerical point, Represents the median value of the search interval of the target numerical point, Represents the scattered properties of the target numerical point.
[0055] After obtaining the effect of the target numerical point on the stable attribute and the effect of the dispersed attribute according to the above equation, the characterization amplitude of the target numerical point on the variable attribute can be obtained according to the effect of the target numerical point on the stable attribute and the effect of the dispersed attribute.
[0056] In a preferred but non-limiting embodiment of the present invention, in step 4, the representation amplitude of the target numerical point to the variable attribute is inversely proportional to the variable attribute within the search interval of the target numerical point; the representation amplitude of the target numerical point to the variable attribute is determined, and the calculation equation is: ;
[0057] In the equation, Represents the amplitude of the target numerical point, Represents the effect of the target value point on the stable attribute, Represents the effect of the target value point on the scattered attribute, Represents the changing properties of the target value point in the search interval.
[0058] In the above equation, the higher the representation amplitude of the target value point for the variable attribute, the higher the probability that the target value point contains the main attribute, and the lower the weight factor of the target value point when it is cleaned by the weighted recursive averaging algorithm, so as to avoid excessive cleaning of the target value point and cause attribute loss.
[0059] Step 5, calculate the weight factor of the target numerical point, and use the weight factor to perform a weighted recursive averaging algorithm to clean the target numerical point to obtain the final processed motor speed value.
[0060] In a preferred but non-limiting embodiment of the present invention, in step 5, the weight factor operation equation for the target numerical point is determined to be: ;
[0061] In the equation, Represents the weight factor of the target value point, Represents the amplitude of the target numerical point, Represents the changing properties of the target value point within the search interval. represents the enhancement index, Represents the Euler number.
[0062] Here, the value of the enhancement index is ten.
[0063] After determining the weight factor of the target value point, the target value point can be processed according to the weight factor.
[0064] In a preferred but non-restrictive embodiment of the present invention, in step 5, when the weighted recursive average algorithm is used to clean the target value point in combination with the weight factor of the target value point, the number of elements of the adjacent queue of the target value point is defined in advance (the number can be determined according to specific requirements), the target value point is regarded as the last value in the speed value queue, and the number of value points obtained by subtracting the number of elements of the adjacent queue before the target value point by one is sequentially sent into the adjacent queue, so as to obtain the adjacent queue of the target value point; the KL divergence between the target value point and the value points in the adjacent queue is sent to the weighted average equation, and the weighted average equation changes the KL divergence according to the weight factor of the target value point to obtain the approximation between the target value point and the value points in the adjacent queue, and the approximation is inversely proportional to the KL divergence; the cleaning value of the target value point is determined, and the cleaning value is inversely proportional to the total value of the approximation of all value points in the adjacent queue; the speed value of the motor after the final treatment is obtained. The speed value of the motor after the final treatment is sent to the LCD screen for display.
[0065] The calculation equation for determining the cleaning value of the target numerical point is: ;
[0066] In the equation, Represents the cleaning value of the target numerical point, that is, the speed value of the motor after the final treatment. The number of elements in the queue that represent the destination value point, Represents the target value point and the number in the adjacent queue The approximation between the numerical points (the approximation can be the Pearson coefficient), Represents the target value point in the adjacent queue The value of a numeric point.
[0067] In the present application, according to the speed value of the motor after being processed by the controller, a speed value queue of the motor can be obtained, and the speed value queue contains a number of value points, and a search interval of the value points is pre-defined in the speed value queue; an arbitrary value point is regarded as the target value point, and the standard deviation of the search interval of the target value point is obtained, and the stability attribute of the target value point is determined, and the stability attribute is inversely proportional to the standard deviation of the search interval of the target value point; the amount obtained by subtracting each value point in the search interval of the target value point from the median of the search interval is obtained, and the dispersion attribute of the target value point is determined, and the dispersion attribute is proportional to the modulus of the amount obtained by the subtraction; the modulus of the binary vector formed by the stability attribute and the dispersion attribute of the target value point is regarded as the variable attribute of the target value point in the search interval, and the representation amplitude of the target value point for the variable attribute is determined, and the representation amplitude is inversely proportional to the variable attribute; the weight factor of the target value point is calculated, and the weighted recursive averaging algorithm is performed on the target value point using the weight factor to clean it, so as to achieve the final speed value of the motor after processing.
[0068] Accordingly, the present application involves that the speed value of the motor after being processed by the controller often has noise values, which is not conducive to the subsequent use of the values. Accordingly, the present application cleans the speed value queue through a weighted recursive averaging algorithm, which can effectively improve the overall performance of the collected values, thereby effectively improving the accuracy of the speed value of the motor after being processed by the controller; then the present application involves that the constant weight factor often produces value distortion. Accordingly, the present application analyzes the value change trend of the target value point within the search interval of the target value point, thereby obtaining the weight factor of the target value point, which can effectively improve the accuracy of the speed value of the motor after being processed by the controller.
[0069] like Figure 2 As shown, the centralized control device of the variable frequency starting and speed regulation system of a compressed air energy storage compressor described in the present invention comprises: A frequency converter, the output end of which is connected to the motors of the compressors for compressed air energy storage, and a controller in the frequency converter is used to control the starting of the motors and the variable speed operation of the compressors; During the period when the controller in the inverter controls the starting of the motor and the variable speed operation of the compressor, the controller in the inverter is also used to control the external excitation device to adjust the speed of the motor; The controller in the frequency converter is also connected to the speed sensor and the LCD screen. The speed sensor is used to sample the speed value of the motor and transmit it to the controller. The controller is used to process the collected speed value of the motor and send it to the LCD screen for display, so as to monitor the speed of the motor. The modules running on the controller include: A queue module, which is used to collect the speed value queue of the motor sampled by the speed sensor; A recognition module, which is used to take a random numerical point as a target numerical point, obtain the standard deviation of the search interval of the target numerical point, and recognize the stable attribute of the target numerical point; A dispersion module, which is used to obtain the amount obtained by subtracting each numerical point in the target numerical point search interval from the median of the search interval, and to identify the dispersion attribute of the target numerical point; A characterization module, which is used to treat the modulus of the binary vector formed by the stable attribute and the scattered attribute of the target numerical point as the variable attribute of the target numerical point in the search interval, and to identify the characterization amplitude of the target numerical point for the variable attribute; The cleaning module is used to calculate the weight factor of the target value point, and use the weight factor to perform a weighted recursive average algorithm to clean the target value point to obtain the final processed motor speed value. The motor speed is the speed of the motor output shaft.
[0070] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include: By performing cleaning on the speed value queue through the weighted recursive averaging algorithm, the overall performance of the collected motor speed values can be effectively improved, thereby effectively improving the accuracy of the motor speed values after being processed by the controller; in addition, the present invention also obtains the weight factor of the target value point by analyzing the numerical change trend of the numerical point within the retrieval interval of the target value point, which can prevent numerical distortion, thereby effectively improving the accuracy of the motor speed value after being processed by the controller, which is suitable for the processing of the motor speed value, and finally improves the monitoring of the motor speed.
[0071] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not deviate from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.
Claims
1. A centralized control method for a variable frequency starting and speed regulation system of a compressed air energy storage compressor, characterized in that: include: The controller in the frequency converter controls the starting of the motor and the variable speed operation of the compressor; During the period when the controller in the inverter controls the start of the motor and the variable speed operation of the compressor, the controller in the inverter also controls the external excitation device to adjust the speed of the motor; the speed sensor samples the speed value of the motor and transmits it to the controller, and the controller processes the collected speed value of the motor and sends it to the LCD screen for display, thereby achieving the monitoring of the motor speed; The method in which the controller processes the received speed value of the motor includes: Step 1, collecting the speed value queue of the motor sampled by the speed sensor; Step 2, take a random numerical point as the target numerical point, obtain the standard deviation of the search interval of the target numerical point, and determine the stable attribute of the target numerical point; Step 3, obtaining the amount obtained by subtracting each numerical point in the target numerical point search interval from the median of the search interval, and determining the dispersion attribute of the target numerical point; Step 4, taking the modulus of the binary vector formed by the stable attribute and the scattered attribute of the target numerical point as the variable attribute of the target numerical point in the search interval, and determining the representation amplitude of the variable attribute of the target numerical point; Step 5, calculate the weight factor of the target numerical point, and use the weight factor to perform a weighted recursive averaging algorithm to clean the target numerical point to obtain the final processed motor speed value.
2. The centralized control method of the variable frequency starting and speed regulation system of the compressed air energy storage compressor according to claim 1 is characterized in that: In step 1, the rotation speed value queue contains a number of value points arranged in the order of sampling time points of the rotation speed sensor, and a search interval of the value points is pre-defined in the rotation speed value queue.
3. The centralized control method of the variable frequency starting and speed regulation system of the compressed air energy storage compressor according to claim 2 is characterized in that: In step 1, when obtaining the search interval of a numerical point, the numerical point is used as the last numerical value in the search interval, and the search interval of the numerical point is constructed within the previous numerical points before the numerical point. The search interval of the obtained numerical point contains the numerical point itself.
4. The centralized control method of the variable frequency starting and speed regulation system of the compressed air energy storage compressor according to claim 3 is characterized in that: In step 2, the stable property equation of the target value point is determined to be: ; In the equation, Represents the stable properties of the target numerical point, The number of value points in the search interval representing the target value point. Represents the target value point in the search interval The decrement value of the numerical point, Represents the standard deviation of the search interval for the target value point.
5. The centralized control method of the variable frequency starting and speed regulation system of the compressed air energy storage compressor according to claim 4 is characterized in that: In step 3, the dispersion property operation equation of the target value point is determined to be: ; In the equation, Represents the scattered properties of the target numerical point, The number of value points in the search interval representing the target value point. The first value in the search interval representing the target value point numerical points, Represents the median value of the search interval for the target numerical point.
6. The centralized control method of the variable frequency starting and speed regulation system of the compressed air energy storage compressor according to claim 5 is characterized in that: In step 4, when determining the representation amplitude of the target numerical point on the variable attribute, first determine the effect of the target numerical point on the stable attribute; then determine the effect of the target numerical point on the dispersed attribute, and the effect of the dispersed attribute is inversely proportional to the dispersed attribute of the target numerical point; then calculate and obtain the representation amplitude of the target numerical point on the variable attribute; In step 4, the action equation of the target value point on the stability attribute is determined to be: ; In the equation, Represents the effect of the target value point on the stable attribute, Represents the decrement value of the target value point, Represents the stable properties of the target numerical point; In step 4, the action equation of the target value point on the dispersion attribute is determined to be: ; In the equation, Represents the effect of the target value point on the scattered attribute, Represents the value of the target numerical point, Represents the median value of the search interval of the target numerical point, Represents the scattered properties of the target numerical point.
7. The centralized control method of the variable frequency starting and speed regulation system of the compressed air energy storage compressor according to claim 6 is characterized in that: In step 4, the amplitude of the target value point for the change attribute is determined, and the calculation equation is: ; In the equation, Represents the amplitude of the target numerical point, Represents the effect of the target value point on the stable attribute, Represents the effect of the target value point on the scattered attribute, Represents the changing properties of the target value point in the search interval.
8. The centralized control method of the variable frequency starting and speed regulation system of the compressed air energy storage compressor according to claim 7 is characterized in that: In step 5, the weight factor calculation equation for the target value point is determined as: ; In the equation, Represents the weight factor of the target value point, Represents the amplitude of the target numerical point, Represents the changing properties of the target value point within the search interval. represents the enhancement index, Represents the Euler number.
9. The centralized control method of the variable frequency starting and speed regulation system of the compressed air energy storage compressor according to claim 8 is characterized in that: In step 5, the weighted recursive averaging algorithm is used to clean the target value point in combination with the weight factor of the target value point to obtain the final processed motor speed value.
10. A centralized control device for a variable frequency starting and speed regulation system of a compressed air energy storage compressor, characterized in that: include: A frequency converter, the output end of which is connected to the motors of the compressors for compressed air energy storage, and a controller in the frequency converter is used to control the starting of the motors and the variable speed operation of the compressors; During the period when the controller in the inverter controls the starting of the motor and the variable speed operation of the compressor, the controller in the inverter is also used to control the external excitation device to adjust the speed of the motor; The controller in the frequency converter is also connected to the speed sensor and the LCD screen. The speed sensor is used to sample the speed value of the motor and transmit it to the controller. The controller is used to process the collected speed value of the motor and send it to the LCD screen for display, so as to monitor the speed of the motor. The modules running on the controller include: A queue module, which is used to collect the speed value queue of the motor sampled by the speed sensor; A recognition module, which is used to take a random numerical point as a target numerical point, obtain the standard deviation of the search interval of the target numerical point, and recognize the stable attribute of the target numerical point; A dispersion module, which is used to obtain the amount obtained by subtracting each numerical point in the target numerical point search interval from the median of the search interval, and to identify the dispersion attribute of the target numerical point; A characterization module, which is used to treat the modulus of the binary vector formed by the stable attribute and the scattered attribute of the target numerical point as the variable attribute of the target numerical point in the search interval, and to identify the characterization amplitude of the target numerical point for the variable attribute; The cleaning module is used to calculate the weight factor of the target value point, and use the weight factor to perform a weighted recursive average algorithm to clean the target value point to obtain the final processed motor speed value.
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