Intelligent control method and system for high-power frequency converter

Abstract

The invention relates to the technical field of frequency converter control, in particular to an intelligent control method and system for a high-power frequency converter, and the method comprises the steps: collecting the torque demand data and current data of a load motor of the frequency converter at each collection moment in each data collection period; acquiring a torque sudden change coefficient of each data acquisition period based on a difference condition between the torque demand data at adjacent acquisition moments; acquiring a torque response factor of each data acquisition period based on the torque sudden change coefficient, the change trend of the torque demand data and the difference between the torque demand data and the fitting straight line of the torque demand data; obtaining a frequency regulation factor of each data acquisition period; and smoothing the output power of the high-power frequency converter to complete intelligent control of the high-power frequency converter. According to the invention, the damage of the impact current to the fan motor is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of inverter control, and in particular to an intelligent control method and system for a high-power inverter. Background Art

[0002] In modern electrical systems, frequency converters, as key equipment, play a vital role in the power regulation process. Frequency converters use frequency conversion technology and microelectronics technology to achieve precise control of AC motors by changing the frequency of the motor's working power supply. This control not only enables the equipment to flexibly adjust the speed and output torque according to production needs, but also significantly improves the energy efficiency and performance of the equipment. High-power frequency converters are widely used in many fields such as petroleum, metallurgy, electricity, water supply, chemical industry, coal, etc., and have become an important tool for achieving efficient energy saving and green production.

[0003] However, as the application scope of frequency converters expands, more and more problems are exposed. Due to the insufficient control accuracy of frequency converters, frequency converters perform poorly in terms of dynamic response and stability. Traditional systems have poor adaptability to different working conditions and load changes, and are difficult to cope with complex industrial environments. In recent years, although some control algorithms have been applied to the field of frequency converter control, enabling frequency converters to respond quickly to load changes, such as the frequency converter control system published by patent publication number CN119276184A and the variable frequency DC speed regulation digital control system published by patent publication number CN119010671A. However, these existing frequency converter control systems, while pursuing rapid response to load changes, ignore the fact that the frequency converter is prone to generate excessive impact current during the start and stop process, which in turn causes additional wear on the load motor. Summary of the invention

[0004] In order to solve the above technical problems, the purpose of this application is to provide an intelligent control method and system for a high-power inverter. The technical solutions adopted are as follows: In a first aspect, an embodiment of the present application provides an intelligent control method for a high-power inverter, the method comprising the following steps: Collect the torque demand data and current data of the inverter load motor at each collection time in each data collection cycle; Based on the difference between the torque demand data at adjacent collection moments, the torque mutation coefficient of each data collection cycle is obtained; Based on the torque mutation coefficient, the change trend of the torque demand data and the difference between the torque demand data and the fitting straight line of the torque demand data, the torque response factor of each data collection cycle is obtained; The frequency control factor of each data acquisition cycle is obtained based on the torque response factor, the correlation between the torque demand data and the current data, and the uncertainty of the current data; The output power of the high-power inverter is smoothed based on the frequency control factor to complete the intelligent control of the high-power inverter.

[0005] Furthermore, the calculation formula of the torque mutation coefficient is: ; In the formula, is the torque mutation coefficient of the inverter load fan motor in the i-th data collection cycle; is a natural constant, , Respectively In the data collection cycle The collection time and Torque demand data at each acquisition moment, For the The total number of collection moments in a data collection cycle.

[0006] Further, the method for obtaining the torque response factor is: Obtain the torque change rate of each data collection cycle based on the change trend of the torque demand data; Obtaining a deviation coefficient for each data collection cycle based on a difference between the torque demand data and a fitting straight line of the torque demand data; For each data collection cycle, the product of the torque mutation coefficient, the torque change rate and the deviation coefficient is calculated as the torque response factor of each data collection cycle.

[0007] Further, the method for obtaining the torque change rate is: For each data collection cycle, a straight line fitting algorithm is used to fit the torque demand data within the data collection cycle to obtain a reference straight line, and the slope of the reference straight line is used as the torque change rate of each data collection cycle.

[0008] Further, the method for obtaining the deviation coefficient is: For each torque demand data in each data collection cycle, the average of the shortest Euclidean distances between all the torque demand data in the data collection cycle and the reference straight line is calculated as the deviation coefficient of each data collection cycle.

[0009] Furthermore, the method for obtaining the frequency control factor is: Obtain the fan stability factor of each acquisition cycle based on the correlation between the torque demand data and the current data; For each data collection period, the information entropy of all current data in the data collection period is calculated; The calculation formula of the frequency control factor is: ; In the formula, represents the frequency control factor of the inverter load fan motor in the i-th data collection cycle; Indicates Torque response factor of the inverter load fan motor within a data collection cycle; Indicates Fan stability factor for a data collection cycle; Indicates Information entropy of all current data of the inverter load fan motor within a data collection cycle; It is the preset parameter factor.

[0010] Furthermore, the method for obtaining the fan stability coefficient is: For each data collection cycle, the torque demand data and current data within the data collection cycle are arranged in positive time sequence as the torque demand sequence and current sequence of each data collection cycle, the elements in the torque demand sequence and current sequence of the data collection cycle are normalized, and the correlation coefficient between the normalized torque demand sequence and current sequence is calculated as the fan stability coefficient of each data collection cycle.

[0011] Further, the output power of the high-power inverter is smoothed based on the frequency control factor, including: For each data collection cycle, the Sigmoid function is used as the acceleration and deceleration curve in the S-type acceleration and deceleration algorithm. The coefficient of the independent variable of the acceleration and deceleration curve of the next adjacent data collection cycle of the data collection cycle is obtained based on the frequency control factor. The acceleration and deceleration curve equation of the next adjacent data collection cycle is updated, and the output power of the high-power inverter is smoothed.

[0012] Furthermore, the method for obtaining the coefficient of the independent variable of the acceleration and deceleration curve of the next adjacent data collection period is: The reciprocal of each data collection cycle is used as the coefficient of the time independent variable in the calculation formula of the acceleration and deceleration curve of the adjacent collection cycle of the next line.

[0013] In a second aspect, an embodiment of the present application further provides an intelligent control system for a high-power inverter, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of any one of the above-mentioned methods when executing the computer program.

[0014] This application has at least the following beneficial effects: This application is based on the collected torque demand data and current data of the inverter-loaded fan motor. First, a torque response factor is constructed by analyzing the change in torque demand when the fan motor load changes. The beneficial effect is that the torque response factor takes into account the sudden change of torque demand data at adjacent moments and the overall deviation between the torque demand data and the overall change trend. Therefore, based on the torque response factor, the abnormal fluctuation of the fan motor torque demand data can be accurately reflected; secondly, based on the change of the fan motor current when the fan motor load suddenly changes and combined with the torque response factor, a frequency control factor is constructed. The beneficial effect is that the frequency control factor takes into account the coordinated change of torque demand and fan motor current. Therefore, based on the frequency control factor, the risk of the inverter directly controlling the inverter output frequency during the frequency modulation control process can be fully reflected; finally, based on the frequency control factor and combined with the S-type acceleration and deceleration algorithm, the output frequency of the inverter is smoothed, thereby reducing the damage caused to the fan motor by the impact current. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0016] Figure 1 A flowchart of a method for intelligently controlling a high-power frequency converter provided in one embodiment of the present application; Figure 2 A flow chart for obtaining a frequency control factor provided in one embodiment of the present application. DETAILED DESCRIPTION

[0017] In order to further explain the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the following is a detailed description of the intelligent control method and system of a high-power inverter proposed in the present application, its specific implementation method, structure, features and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0018] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0019] The specific scheme of an intelligent control method and system for a high-power inverter provided by the present application is described in detail below with reference to the accompanying drawings.

[0020] See also Figure 1 , which shows a flowchart of a method for intelligent control of a high-power inverter provided by an embodiment of the present application, the method comprising the following steps: Step S1, collecting torque demand data and current data of the inverter load motor at each collection time in each data collection cycle.

[0021] The present application proposes an intelligent control method and system for a high-power frequency converter to solve the problem of excessive inrush current generated when the frequency converter responds to changes in the fan load when the load of the frequency converter is a high-power fan.

[0022] First, use the inverter parameter monitor to obtain the current data, voltage data and power factor of the load fan motor of the high-power inverter at each collection time, and use the speed sensor to obtain the motor speed data of the load fan motor of the high-power inverter at each collection time. In this embodiment, the interval between each collection time is 1 second, and the collection cycle time is 3 minutes. The implementer can select other values ​​according to actual conditions.

[0023] Based on the current data, voltage data, power factor and motor speed data, the torque demand data of the inverter load fan motor at each collection time is obtained, wherein the method for obtaining the torque demand data is: for each collection time, the ratio of the product of the current, voltage and power factor of the load fan and the value 9550 is calculated, and the product of the ratio and the motor speed data of the motor is used as the torque demand data.

[0024] Furthermore, in order to remove the interference noise in the data, the collected inverter current data and torque demand data are preprocessed by using Kalman filtering, wherein Kalman filtering is a well-known technology and will not be described in detail in this embodiment.

[0025] At this point, the torque demand data and current data of the inverter load motor at each collection moment in each data collection cycle are obtained.

[0026] Step S2, obtaining the torque mutation coefficient of each data acquisition cycle based on the difference between the torque demand data at adjacent acquisition moments; obtaining the torque response factor of each data acquisition cycle based on the torque mutation coefficient, the changing trend of the torque demand data and the difference between the torque demand data and the fitting straight line of the torque demand data; obtaining the frequency control factor of each data acquisition cycle based on the torque response factor, the correlation between the torque demand data and the current data and the uncertainty of the current data.

[0027] Because the fan needs to respond quickly to load changes in specific application scenarios during operation. For example, in a heating system, when the indoor temperature changes, the fan speed needs to be adjusted quickly to maintain a constant indoor temperature. However, when the fan speed responds quickly, the fan motor requires the inverter to generate a larger output frequency to achieve rapid conversion of the fan speed. However, in this process, when the output frequency generated by the inverter is too large, it will cause a large impact current to be generated inside the fan motor, thereby damaging the electronic components inside the fan motor, thereby affecting the stable operation and overall performance of the fan. Therefore, this application introduces an S-type acceleration and deceleration algorithm to smoothly regulate the output frequency of the inverter to avoid excessive impact current during the operation of the inverter.

[0028] First, take the heating fan as an example. When the indoor temperature changes, the control system will adjust the fan speed according to the temperature feedback signal to keep the indoor temperature constant. The fan speed is usually controlled by changing the torque of the fan motor. When the fan is required to respond quickly to load changes, the motor needs to produce a large torque change in a short time, and a large torque change requires the inverter to provide a larger output frequency. However, an excessively large output frequency will not only cause excessive inrush current in the fan motor, but may also cause the electronic components inside the inverter to be subjected to excessive stress, thereby causing failure or damage. Therefore, this application first analyzes the torque demand data of the fan motor.

[0029] Specifically, in order to reflect the change in the torque demand of the fan motor in a short period of time during the operation of the inverter, the first The change gradient of the torque demand data at adjacent moments in a data collection cycle is calculated. Torque mutation coefficient of a data acquisition cycle , the calculation formula is: ; In the formula, is the torque mutation coefficient of the inverter load fan motor in the i-th data collection cycle; is a natural constant, , Respectively In the data collection cycle The collection time and Torque demand data at each acquisition moment, For the The total number of collection moments in a data collection cycle.

[0030] It should be noted that the larger the value of the torque mutation coefficient, the more significant the change in the torque demand of the fan motor, and the stronger the change in the load of the fan motor; in the frequency control process of the inverter, when the fan motor needs to respond quickly to the change in the external load, the greater and more frequent the change in the external load will lead to an increase in the torque demand data, and thus the greater the change in the torque demand data at adjacent moments, that is, The larger the value of Torque mutation coefficient of a data acquisition cycle On the contrary, when the fan motor does not need to respond quickly to external load changes, the torque mutation coefficient is smaller.

[0031] Furthermore, in order to reflect the overall fluctuation of the fan motor torque demand data, The torque demand data in the i-th data collection cycle is fitted by a straight line fitting algorithm to obtain a reference straight line. The slope of the fitting straight line is recorded as the torque change rate of the i-th data collection cycle. .

[0032] Furthermore, for the The torque demand data in the data collection cycle is used to calculate the average of the shortest Euclidean distances between all torque demand data and the reference straight line as the deviation coefficient of the i-th data collection cycle; where the deviation coefficient Reflects the The degree of deviation between the torque demand data and the overall change trend within a data collection cycle, the deviation coefficient The larger the value of , the greater the fluctuation of the torque demand data. In this embodiment, the least square method is selected as the straight line fitting algorithm, and the implementer can select other straight line fitting algorithms according to actual conditions.

[0033] The polynomial interpolation technique and the least squares straight line fitting algorithm are both well-known techniques, and their implementation processes will not be described in detail in this embodiment.

[0034] The torque response factor of each data acquisition cycle obtained based on the torque mutation coefficient, torque mutation rate and deviation coefficient is calculated as follows: ; In the formula, Indicates that the inverter load fan motor is in the Torque response factor within a data acquisition cycle; Indicates that the inverter load fan motor is in the Torque mutation coefficient of a data acquisition cycle; Indicates that the inverter load fan motor is in the Deviation coefficient of torque demand data sequence within a data collection cycle; Indicates that the inverter load fan motor is in the The torque change rate of the torque demand data within a data collection cycle.

[0035] It should be noted that in the frequency control process of the inverter, when the fan motor needs to respond quickly to the change of the external load, the greater the degree of change of the external load and the more frequent it is, the greater the torque demand data will be, and the greater the change of the torque demand data at adjacent moments will be, that is, the calculated Torque mutation coefficient of a data acquisition cycle The larger the value, the second consideration is the overall fluctuation of the torque demand data. That is, when the external load changes continuously, the more frequent and larger the amplitude of the change in a short period of time, the higher the calculated value. Deviation coefficient of torque demand data within a data collection cycle The larger the value, the more torque demand data is considered in the The torque change rate within a data collection cycle. The faster the fan motor load increases, the more significant the change trend is. The larger the value, the greater the inverter fan motor Torque response factor within a data acquisition cycle The larger the value is, the more likely it is that directly changing the output frequency of the inverter will cause the fan motor to be damaged due to excessive impact current.

[0036] Furthermore, when the torque demand of the fan motor changes suddenly, the fan motor will quickly adjust its torque to adapt to the new load change, which will increase the torque response factor of the fan motor. However, in this process, overload current will be generated inside the fan motor, and long-term overload current will damage the electronic components inside the fan motor.

[0037] Furthermore, the changes in the internal current of the fan motor are analyzed. Specifically, during the normal operation of the fan motor, there is a certain stable relationship between the torque demand data and the current data. However, when the load of the fan motor changes suddenly, the torque demand of the fan motor will change, and the motor current needs to be adjusted quickly to ensure the stable operation of the fan motor.

[0038] However, in actual applications, when the torque demand changes, the inverter will continuously adjust its parameters to adjust the current of the fan motor until the motor current stabilizes and ensures stable operation of the motor. Secondly, the frequent changes in the fan motor load will also make it difficult for the motor current to stabilize. Therefore, in this process, the stable relationship between the torque demand data and the current data is destroyed, and the greater the degree of change in the fan motor load, the more significant the mutation of the torque demand data, which in turn makes the consistency relationship between the torque demand data sequence and the current data sequence worse, and the internal current of the fan motor is more difficult to stabilize.

[0039] According to the above analysis, for each data acquisition cycle, the torque demand data and current data in the data acquisition cycle are arranged in a sequence in positive time order as the torque demand sequence and current sequence of each data acquisition cycle, and the elements in the torque demand sequence and current sequence of the data acquisition cycle are normalized, and the correlation coefficient between the normalized torque demand sequence and current sequence is calculated as the fan stability coefficient of each data acquisition cycle. This embodiment uses the Pearson correlation coefficient as the measurement method of the correlation coefficient, and the implementer can select other correlation coefficients according to actual conditions; and calculate the information entropy of all current data in each data acquisition cycle. Among them, the Z-score normalization algorithm, the Pearson correlation coefficient, and the calculation of information entropy are all well-known technologies, which will not be repeated in this embodiment.

[0040] Furthermore, in order to reflect the load changes during the frequency control process of the inverter, the frequency control factor of the inverter load fan motor in each data acquisition cycle is obtained based on the fan stability coefficient, the information entropy of the current data and the torque response factor. , the calculation formula is: ; In the formula, represents the frequency control factor of the inverter load fan motor in the i-th data collection cycle; Indicates Torque response factor of the inverter load fan motor within a data collection cycle; Indicates Fan stability factor for a data collection cycle; Indicates Information entropy of all current data of the inverter load fan motor within a data collection cycle; is the preset parameter adjustment factor to prevent the denominator from being zero. Since the value range of the Pearson correlation coefficient is Therefore, the preset value of the parameter adjustment factor in this embodiment is 1.01, and the implementer can select other values ​​according to the actual situation. Among them, the frequency adjustment factor acquisition flow chart is as follows Figure 2 shown.

[0041] It should be noted that in the frequency control process of the inverter, when the fan motor load changes suddenly, the greater the load change and the more frequent the load change, the calculated fan motor torque response factor will be The larger the value; secondly, when the fan motor load changes greatly and frequently, the current of the fan motor is difficult to stabilize, which makes the Pearson correlation coefficient between the calculated torque demand data sequence and the current data sequence The value of decreases, the information entropy of the current data sequence The value of increases, thereby making the calculated Frequency control factor of the inverter load fan motor within a data collection cycle The value increases, indicating that the sudden change in the fan motor load reduces the stability of the fan motor, and it is more likely that the inverter output frequency will be improperly controlled and cause impact current.

[0042] Step S3, smoothing the output power of the high-power inverter based on the frequency control factor to complete intelligent control of the high-power inverter.

[0043] Based on the above analysis and calculation, the frequency control factor of the fan motor in each data acquisition cycle during the operation of the inverter is obtained. , where the frequency control factor takes into account the Within a data collection cycle The torque demand and current change of the fan motor when the fan motor load changes suddenly, so based on the frequency control factor It can fully reflect the risk of directly adjusting the inverter output frequency during the frequency modulation control process.

[0044] Specifically, the frequency control factor The larger the value is, the more likely it is that an impact current will occur during the inverter control process, and the more likely it is to cause damage to the fan motor. Therefore, the impact current can be reduced by increasing the smoothness of the inverter output frequency.

[0045] According to the above analysis, the Sigmoid function is used as the acceleration and deceleration curve in the S-type acceleration and deceleration algorithm to smooth the output power of the high-power inverter.

[0046] For each data collection cycle, the calculation formula of the acceleration and deceleration curve is: ; In the formula, is the output power of the high-power inverter in the i-th data collection cycle; e is a natural constant, is the time independent variable of the i-th data collection cycle.

[0047] When the frequency control factor of each data acquisition cycle is larger, in order to achieve smoother control of the output power of the inverter, the time independent variable of the next adjacent acquisition cycle of each data acquisition cycle needs to be reduced. Based on the above analysis, the reciprocal of each data acquisition cycle is used as the coefficient of the time independent variable in the calculation formula of the acceleration and deceleration curve of the next adjacent acquisition cycle, and the calculation formula of the acceleration and deceleration curve of the next adjacent acquisition cycle is updated to smooth the output power of the high-power inverter.

[0048] At this point, the intelligent control of the high-power inverter is completed.

[0049] Based on the same inventive concept as the above method, an embodiment of the present application also provides an intelligent control system for a high-power inverter, including a memory, a processor, and a computer program stored in the memory and running on the processor, and when the processor executes the computer program, the steps of any one of the above-mentioned intelligent control methods for a high-power inverter are implemented.

[0050] It should be noted that the above sequence of the embodiments of the present application is for description only and does not represent the advantages and disadvantages of the embodiments. The above is a description of a specific embodiment of this specification. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0051] The various embodiments in the present application are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0052] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present application should be included in the protection scope of the present application.

Claims

1. An intelligent control method for a high-power frequency converter, characterized in that: The method comprises the following steps: Collect the torque demand data and current data of the inverter load motor at each collection moment in each data collection cycle; Based on the difference between the torque demand data at adjacent acquisition moments, the torque mutation coefficient of each data acquisition cycle is obtained; Based on the torque mutation coefficient, the change trend of the torque demand data and the difference between the torque demand data and the fitting straight line of the torque demand data, the torque response factor of each data collection cycle is obtained; The frequency control factor of each data acquisition cycle is obtained based on the torque response factor, the correlation between the torque demand data and the current data, and the uncertainty of the current data; The output power of the high-power inverter is smoothed based on the frequency control factor to complete the intelligent control of the high-power inverter.

2. The intelligent control method of a high-power frequency converter according to claim 1, characterized in that: The calculation formula of the torque mutation coefficient is: ; In the formula, is the torque mutation coefficient of the inverter load fan motor in the i-th data collection cycle; is a natural constant, , Respectively In the data collection cycle The collection time and Torque demand data at each acquisition moment, For the The total number of collection moments in a data collection cycle.

3. The intelligent control method of a high-power frequency converter according to claim 1, characterized in that: The method for obtaining the torque response factor is: Obtain the torque change rate of each data collection cycle based on the change trend of the torque demand data; Obtaining a deviation coefficient for each data collection cycle based on a difference between the torque demand data and a fitting straight line of the torque demand data; For each data collection cycle, the product of the torque mutation coefficient, the torque change rate and the deviation coefficient is calculated as the torque response factor of each data collection cycle.

4. The intelligent control method for a high-power frequency converter as claimed in claim 3, characterized in that: The method for obtaining the torque change rate is: For each data collection cycle, a straight line fitting algorithm is used to fit the torque demand data within the data collection cycle to obtain a reference straight line, and the slope of the reference straight line is used as the torque change rate of each data collection cycle.

5. The intelligent control method for a high-power frequency converter according to claim 4, characterized in that: The method for obtaining the deviation coefficient is: For each torque demand data in each data collection cycle, the average of the shortest Euclidean distances between all the torque demand data in the data collection cycle and the reference straight line is calculated as the deviation coefficient of each data collection cycle.

6. The intelligent control method for a high-power frequency converter according to claim 1, characterized in that: The method for obtaining the frequency control factor is: Obtain the fan stability factor of each acquisition cycle based on the correlation between the torque demand data and the current data; For each data collection period, the information entropy of all current data in the data collection period is calculated; The calculation formula of the frequency control factor is: ; In the formula, represents the frequency control factor of the inverter load fan motor in the i-th data collection cycle; Indicates Torque response factor of the inverter load fan motor within a data collection cycle; Indicates Fan stability factor for a data collection cycle; Indicates Information entropy of all current data of the inverter load fan motor within a data collection cycle; It is the preset parameter factor.

7. The intelligent control method for a high-power frequency converter according to claim 6, characterized in that: The method for obtaining the fan stability coefficient is: For each data collection cycle, the torque demand data and current data within the data collection cycle are arranged in positive time sequence as the torque demand sequence and current sequence of each data collection cycle, the elements in the torque demand sequence and current sequence of the data collection cycle are normalized, and the correlation coefficient between the normalized torque demand sequence and current sequence is calculated as the fan stability coefficient of each data collection cycle.

8. The intelligent control method for a high-power frequency converter according to claim 1, characterized in that: The smoothing of the output power of the high-power inverter based on the frequency control factor includes: For each data collection cycle, the Sigmoid function is used as the acceleration and deceleration curve in the S-type acceleration and deceleration algorithm. The coefficient of the independent variable of the acceleration and deceleration curve of the next adjacent data collection cycle of the data collection cycle is obtained based on the frequency control factor. The acceleration and deceleration curve equation of the next adjacent data collection cycle is updated, and the output power of the high-power inverter is smoothed.

9. The intelligent control method for a high-power frequency converter according to claim 8, characterized in that: The method for obtaining the coefficient of the independent variable of the acceleration and deceleration curve of the next adjacent data collection cycle is: The reciprocal of each data collection cycle is used as the coefficient of the time independent variable in the calculation formula of the acceleration and deceleration curve of the adjacent collection cycle of the next line.

10. An intelligent control system for a high-power frequency converter, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the intelligent control method for a high-power inverter as described in any one of claims 1-9 are implemented.

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