Wind field generation regulation and control method and system based on Fourier series

Abstract

The invention relates to the technical field of wind field control, in particular to a wind field generation regulation and control method and system based on Fourier series, and the wind field generation regulation and control method comprises the steps: initializing a wind field generation system; generating a current prediction reference curve according to the current Fourier series spectral characteristics; based on a feedforward control algorithm and a PID control algorithm, a current wind field is generated, regulated and controlled; carrying out current data analysis and visualization; further adjusting the current Fourier series spectral characteristics according to the current wind field simulation effect; wind field generation regulation is applied to the wind field generation regulation method, a man-machine interaction system, a wind field generation system, a sensor system and a control system are included, the wind field can be predicted through Fourier series decomposition, so that feed-forward control is achieved, a feed-forward control algorithm and a PID feedback control algorithm are superposed, rapidity and accuracy are both considered, and the wind field generation regulation method is applicable to wind field generation regulation. And meanwhile, self-defined Fourier series spectrum characteristics are supported, and different complex time-varying wind fields can be flexibly generated, regulated and controlled.

Description

Technical Field

[0001] The present invention relates to the technical field of wind field control, and particularly relates to a method and system for generating and regulating a wind field based on Fourier series. Background Art

[0002] In the fields of aerospace, vehicle engineering, building wind engineering, etc., it is necessary to simulate various complex wind fields in a test or test environment. The simulation of the wind field is generally achieved by a wind tunnel. Most traditional wind tunnels can only provide relatively single or a few-dimensional wind field regulation, and it is difficult to generate complex time-varying wind fields such as pulsating wind, periodic fluctuations, and turbulence.

[0003] Therefore, there is an urgent need for a method and system that can simulate complex time-varying wind fields and generate and regulate complex time-varying wind fields to meet the needs of simulating complex time-varying wind fields in actual engineering. Summary of the Invention

[0004] In view of the above problems, the present invention provides a method and system for generating and regulating a wind field based on Fourier series to solve the technical problems raised in the above background art.

[0005] The technical solutions adopted by the present invention to solve its technical problems are as follows:

[0006] A method for generating and regulating a wind field based on Fourier series includes the following steps:

[0007] S100: Construct a wind field generation system to generate an initial wind field command, and the wind field generation system completes initialization according to the initial wind field generation command;

[0008] S200: Set the current Fourier series spectrum characteristics and a preset number of control cycles N, calculate the function of the current predicted wind field speed changing with time according to the current Fourier series spectrum characteristics, and generate a current predicted reference curve;

[0009] S300: According to the current predicted reference curve, based on the feedforward control algorithm and the PID control algorithm, the wind field generation system performs current wind field generation and regulation under the current Fourier series spectrum characteristics within the preset N control cycles, and respectively records the current wind field generation and regulation data within the N control cycles;

[0010] S400: Perform current data analysis and visualization according to the current wind field generation and regulation data within the N control cycles to obtain the current wind field simulation effect under the current Fourier series spectrum characteristics;

[0011] S500: Judge whether the current wind field simulation effect meets the user's wind field simulation requirements. If so, generate a termination command, and the wind field generation system stops working; if not, adjust the current Fourier series spectrum characteristics and return to S300.

[0012] Further, the S300 specifically includes the following steps:

[0013] S301: Construct a "wind field generation - wind field contribution" correlation model, combine with the current prediction reference curve, calculate the predicted wind field generation parameters for the current nth control period, and generate the initial wind field for the current nth control period, where n = 1;

[0014] S302: Based on the feedforward algorithm, according to the current prediction reference curve and the "wind field generation - wind field contribution" correlation model, calculate the predicted wind field generation parameters for the current (n + 1)th control period, and output the wind field generation feedforward instruction for the current (n + 1)th control period;

[0015] S303: The wind field generation system receives the wind field generation feedforward instruction for the current (n + 1)th control period, and quickly adjusts the initial wind field for the current nth control period to generate the actual wind field for the current nth control period;

[0016] S304: Collect the actual wind field characteristics for the current nth control period to obtain the actual wind field characteristic data for the current nth control period;

[0017] S305: Compare the actual wind field characteristic data for the current nth control period with the current prediction reference curve to obtain the wind field error for the current nth control period;

[0018] S306: Based on the wind field error for the current nth control period, generate a feedback correction signal for the current (n + 1)th control period based on the PID control algorithm;

[0019] S307: Generate a wind field correction instruction for the current (n + 1)th control period according to the feedback correction signal for the current (n + 1)th control period and the wind field generation feedforward instruction for the current (n + 1)th control period;

[0020] S308: The wind field generation system receives the wind field correction instruction for the current (n + 1)th control period, and quickly adjusts the actual wind field for the nth control period, that is, the initial wind field for the current (n + 1)th control period, to generate the actual wind field for the current (n + 1)th control period, and let n = n + 1;

[0021] S309: Determine whether n is greater than N. If so, output the current wind field generation and regulation data within N control periods, including the current actual wind field characteristic data, the current wind field generation feedforward instruction, the current wind field generation correction instruction, and the current wind field error within N control periods; if not, return to S302.

[0022] Further, the current predicted wind field speed is the wind speed distribution of the predicted time - varying wind field at different times, denoted as W des(x, y, t), where x and y are spatial variables and t is a time variable, and the current predicted wind field speed is W des (x, y, t) can be regarded as being composed of a series of sine and cosine basis functions and expanded by Fourier series as:

[0023]

[0024] In the formula, A n is the amplitude of each harmonic, ω n is the frequency of each harmonic, φ n is the phase of each harmonic, f n (x, y) is the spatial component set by the system. The current Fourier series spectrum characteristics include the current amplitudes of each harmonic, the current frequencies of each harmonic, and the current phases of each harmonic. The current Fourier series spectrum characteristics can be user-defined.

[0025] Furthermore, the construction process of the "wind field generation - wind field contribution" correlation model in S301 is as follows: By adjusting the wind field generation parameters in the wind field generation system multiple times, perform wind field contribution calibration tests on the wind field generation system, and record the wind field contribution calibration test data; According to the wind field contribution calibration test data, determine the wind field contribution degrees of different wind field generation parameters, and construct the "wind field generation - wind field contribution" correlation model.

[0026] Furthermore, the specific feedforward algorithm in S302 is as follows: The predicted wind field speed of the current (n + 1)-th control cycle can be predicted through the current predicted reference curve. According to the predicted wind field speed of the current (n + 1)-th control cycle, the corresponding current predicted wind field generation parameters can be reversely solved by using the "wind field generation - wind field contribution" correlation model. Based on the current predicted wind field generation parameters of the current (n + 1)-th control cycle, the main controller can output the wind field generation feedforward instruction of the current n-th control cycle, and the wind field generation feedforward instruction of the current n-th control cycle is denoted as u ff,i (t).

[0027] Furthermore, the specific PID control algorithm in S306 is as follows: The actual wind field characteristic data of the current n-th control cycle includes the actual wind speed of the actual wind field in the current n-th control cycle, denoted as W meas , the wind field error in the current n-th control cycle is denoted as e i (t), e i (t) = [W des - W meas regioni , the feedback correction signal of the current (n + 1)-th control cycle is denoted as u PID,i (t), and the PID calculation formula of the PID control algorithm is:

[0028] ​

[0029] In the formula, K p,i is the proportional gain, K i,i is the integral gain, and K d,i is the derivative gain.

[0030] Furthermore, the current wind field correction instruction in S307 for the (n + 1)-th control cycle is formed by superimposing the feedback correction signal u PID,i (t) in the current (n + 1)-th control cycle and the feedforward wind field generation instruction u ff,i (t) in the previous n-th control cycle, denoted as u i (t), that is, u i (t) = u ff,i (t) + u PID,i (t).

[0031] A wind field generation and regulation system based on Fourier series, which is applied to the above-mentioned wind field generation and regulation method based on Fourier series, includes:

[0032] Human-computer interaction system: used for users to input the current Fourier series spectrum characteristics and preset control cycle numbers defined by themselves, and generate the current predicted reference curve; at the same time, it is used for data and visualization of the current wind field generation and regulation data;

[0033] Wind field generation system: used to generate a complex time-varying wind field that changes dynamically with time;

[0034] Sensor system: including wind speed sensors and laser anemometers arranged in an array in the test area, used to collect the actual wind field characteristics of different control cycles and output the actual wind field characteristic data;

[0035] Control system: including a main controller, a communication interface, and a fan driver. The communication interface is used for the control system to transmit instructions and data to and from the human-computer interaction system, the wind field generation system, and the sensor system respectively. The main controller is used to generate a feedback correction signal and a wind field generation feedforward instruction, and superimpose the feedback correction signal and the wind field generation feedforward instruction to generate a wind field generation correction instruction; the fan driver is used for distributed driving of the fan generation system.

[0036] Compared with the prior art, the beneficial effects of the present invention are:

[0037] 1. The wind field generation and regulation method based on Fourier series provided by the present invention represents the change of the wind field with time through the Fourier series of multiple harmonic superpositions, so as to predict the future wind speed change of the user's target wind field.

[0038] 2. A wind field generation and regulation method based on Fourier series provided by the present invention realizes feedforward control through the prediction of the target wind field by Fourier series decomposition, and superimposes the feedforward control algorithm and the PID feedback control algorithm, taking into account the rapidity of the feedforward control algorithm and the accuracy of the PID feedback control algorithm, which can effectively improve the dynamic performance of the control system and ensure the steady-state accuracy after dynamic control.

[0039] 3. A wind field generation and regulation system based on Fourier series provided by the present invention is applied to a wind field generation and regulation method based on Fourier series, supports users to customize the spectral characteristics of the Fourier series, and can flexibly generate and regulate different complex time-varying wind fields to meet the needs of simulating complex time-varying wind fields in actual engineering. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required in the embodiments or the prior art spectral characteristics. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0041] Figure 1 It is a schematic flow chart of the wind field generation and regulation method based on Fourier series described in the present invention;

[0042] Figure 2 For Figure 1 the flow chart of S300 in

[0043] Figure 3 It is a schematic structural diagram of the wind field generation and regulation system based on Fourier series described in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0045] The present invention provides a wind field generation and regulation method based on Fourier series, as Figure 1 - Figure 2 shown, the wind field generation and regulation method based on Fourier series includes the following steps:

[0046] S100: Construct a wind field generation system to generate an initialization wind field instruction, and the wind field generation system completes initialization according to the initialization wind field generation instruction;

[0047] Among them, the construction of the wind field generation system is achieved by arranging a multi-fan matrix structure. The multi-fan matrix structure includes multiple small high-speed fans evenly distributed in an array form. The array scale of the fans can be expanded or reduced according to the scale of the wind field to be generated. Each fan can be driven distributively through a bus or network connection, so as to independently adjust the rotation speed, and the rotation speed adjustment range is 2000-10000 rpm. The initialization of the wind field generation system includes detecting whether the control channels for the rotation speed of each fan are operating normally to ensure that the wind field generation parameters can be effectively controlled during the wind field generation and regulation process.

[0048] S200: Set the current Fourier series spectrum characteristics and the preset number of control cycles N. Calculate the function of the current predicted wind field speed changing with time according to the current Fourier series spectrum characteristics, and generate the current predicted reference curve.

[0049] Among them, the current predicted wind field speed is the wind speed distribution at different moments of the predicted time-varying wind field, denoted as W des (x, y, t), where x and y are spatial variables and t is a time variable. The current predicted wind field speed W des (x, y, t) can be regarded as being composed of a series of sine and cosine basis functions and expanded by Fourier series as:

[0050]

[0051] In the formula, A n is the amplitude of each harmonic, ω n is the frequency of each harmonic, φ n is the phase of each harmonic, f n (x, y) is the spatial component set by the system. The current Fourier series spectrum characteristics include the current amplitude of each harmonic, the current frequency of each harmonic, and the current phase of each harmonic. The current Fourier series spectrum characteristics are user-defined. The preset number of control cycles is the number of control cycles for each wind field regulation. The optional range of the preset number of control cycles N is 3-5. According to the user-defined current amplitude of each harmonic, the current frequency of each harmonic, and the current phase of each harmonic, the change of the current predicted wind field speed with time in the next N control cycles can be obtained through the Fourier series expansion formula and represented in the form of the current predicted reference curve.

[0052] S300: According to the current predicted reference curve, based on the feedforward control algorithm and the PID control algorithm, the wind field generation system performs the current wind field generation and regulation under the current Fourier series spectrum characteristics within the preset N control cycles, and respectively records the current wind field generation and regulation data within the N control cycles.

[0053] Further, the specific steps of S300 include:

[0054] S301: Construct a "wind field generation - wind field contribution" correlation model. Combine with the current prediction reference curve, calculate the predicted wind field generation parameters for the current nth control cycle, and generate the initial wind field for the current nth control cycle, where n = 1;

[0055] Further, the construction process of the "wind field generation - wind field contribution" correlation model is as follows: By adjusting the wind field generation parameters in the wind field generation system multiple times, conduct a wind field contribution calibration test on the wind field generation system, and record the wind field contribution calibration test data. The wind field generation parameters include the rotational speed of each fan. The wind field contribution calibration test is completed by testing the contribution degree of each fan or each area to the wind field characteristics at different rotational speeds. The wind field characteristics include the wind speed at each spatial position in the wind field; According to the wind field contribution calibration test data, determine the wind field contribution degree of different wind field generation parameters, and complete the construction of the "wind field generation - wind field contribution" correlation model. Among them, the wind field contribution degree of different wind field generation parameters is the contribution degree of the wind field characteristics corresponding to each fan at different rotational speeds. The constructed "wind field generation - wind field contribution" correlation model is embodied in the form of a database.

[0056] Among them, the wind field wind speed of the first control cycle under the current Fourier series spectrum characteristics can be calculated through the current prediction reference curve. According to the wind field wind speed of the first control cycle, the wind field generation parameters of the current first control cycle can be inversely solved using the "wind field generation - wind field contribution" correlation model, so as to generate the initial wind field of the first control cycle under the current Fourier series spectrum characteristics.

[0057] S302: Based on the feedforward algorithm, according to the current prediction reference curve and the "wind field generation - wind field contribution" correlation model, calculate the predicted wind field generation parameters for the current (n + 1)th control cycle, and output the wind field generation feedforward instruction for the current (n + 1)th control cycle;

[0058] Among them, the predicted wind field wind speed of the current (n + 1)th control cycle can be predicted through the current prediction reference curve. According to the predicted wind field wind speed of the current (n + 1)th control cycle, the corresponding current predicted wind field generation parameters can be inversely solved using the "wind field generation - wind field contribution" correlation model. Based on the predicted wind field generation parameters of the current (n + 1)th control cycle, the wind field generation feedforward instruction for the current nth control cycle can be output. The wind field generation feedforward instruction for the current nth control cycle is denoted as u ff,i (t).

[0059] S303: The wind field generation system receives the wind field generation feedforward instruction for the current (n + 1)th control cycle, and quickly adjusts the initial wind field for the current nth control cycle to generate the actual wind field for the current nth control cycle;

[0060] S304: Collect the actual wind field characteristics of the current nth control cycle to obtain the actual wind field characteristic data of the current nth control cycle;

[0061] Among them, the actual wind field characteristic data of the current nth control cycle includes the actual wind speed of the actual wind field in the current nth control cycle, denoted as W meas , and the actual wind field characteristics of the current nth control cycle are collected at a fixed sampling period or in a continuous mode.

[0062] S305: Compare the actual wind field characteristic data of the current nth control cycle with the current predicted reference curve to obtain the wind field error of the current nth control cycle;

[0063] Among them, the wind field error of the current nth control cycle is denoted as e i (t), e i (t) = [W des - W meas regioni .

[0064] S306: Based on the wind field error of the current nth control cycle, generate a feedback correction signal for the current (n + 1)th control cycle based on the PID control algorithm;

[0065] Among them, the feedback correction signal for the current (n + 1)th control cycle is denoted as u PID,i (t), u PID,i (t) is obtained from the PID control algorithm, and the PID calculation formula of the PID control algorithm is:

[0066]

[0067] In the formula, K p,i is the proportional gain, K i,i is the integral gain, K d,i is the derivative gain.

[0068] S307: Generate a feedforward command based on the feedback correction signal of the current (n + 1)th control cycle and the wind field of the current (n + 1)th control cycle, and generate a wind field correction command for the current (n + 1)th control cycle;

[0069] Among them, the wind field correction command for the current (n + 1)th control cycle is composed of the feedback correction signal u PID,i (t) of the current (n + 1)th control cycle and the feedforward command u ff,i (t) of the wind field of the current nth control cycle, denoted as u i (t), that is, u i (t) = u ff,i (t) + u PID,i(t); By introducing a feedforward control algorithm based on Fourier series, the wind speed of the wind field at the next moment can be predicted, and a feedforward command can be given in advance, solving the problem that the pure feedback mechanism relying only on PID control needs to wait for the error to appear before making corrections. It is often lagging in the face of rapid or complex wind speed changes and difficult to track high-frequency or large-amplitude harmonic changes in a timely manner, enabling the wind field generation system to approach the predicted wind field faster. At the same time, the PID control algorithm is combined with the feedforward algorithm to take into account the rapidity of the feedforward control algorithm and the accuracy of the PID feedback control algorithm.

[0070] S308: The wind field generation system receives the wind field correction command in the current (n + 1)-th control cycle, quickly adjusts the actual wind field in the n-th control cycle, that is, the initial wind field in the current (n + 1)-th control cycle, generates the actual wind field in the current (n + 1)-th control cycle, and sets n = n + 1;

[0071] S309: Determine whether n is greater than N. If so, output the current wind field generation and regulation data within N control cycles, including the current actual wind field characteristic data, the current wind field generation feedforward command, the current wind field generation correction command, and the current wind field error within N control cycles; if not, return to S302.

[0072] Among them, through the composite control of the feedforward control algorithm and the PID control algorithm, the dynamic generation and regulation of the current wind field are carried out within the preset N control cycles, combining the Fourier prediction of the wind speed change in the future control cycle with the actual error feedback, which can effectively improve the dynamic performance of the control system and ensure the steady-state accuracy.

[0073] S400: According to the current wind field generation and regulation data within N control cycles, perform current data analysis and visualization to obtain the current wind field simulation effect under the current Fourier series spectrum characteristics;

[0074] S500: Determine whether the current wind field simulation effect meets the user's wind field simulation requirements. If so, generate a termination command and the wind field generation system stops working; if not, adjust the current Fourier series spectrum characteristics and return to S300;

[0075] Among them, the wind field simulation that can be carried out is a complex time-varying wind field, including pulsating wind, periodic fluctuations, and turbulence. Based on the expected wind field simulation requirements, according to the analysis of the wind field generation and regulation data within N control cycles, the Fourier series spectrum characteristics are updated until the ideal wind field simulation effect is achieved; by customizing the Fourier series spectrum characteristics, different complex time-varying wind fields can be flexibly generated and regulated to meet the needs of simulating complex time-varying wind fields in actual engineering.

[0076] The present invention also provides a wind field generation and regulation system based on Fourier series, which applies the above-mentioned wind field generation and regulation method based on Fourier series. As Figure 3 shown, the wind field generation and regulation system based on Fourier series includes:

[0077] Human-machine interaction system: The human-machine interaction system is used for users to input the current Fourier series spectrum characteristics and preset control cycle numbers defined by themselves, and generate the current prediction reference curve; at the same time, it is used for data and visualization of the current wind field generation and regulation data, so that users can conveniently and flexibly perform wind field generation and regulation according to their own wind field simulation requirements;

[0078] Wind field generation system: The wind field generation system is used to generate a complex time-varying wind field that changes dynamically with time;

[0079] Sensor system: The sensor system includes an array of wind speed sensors and laser anemometers arranged in the test area, which are used to collect the actual wind field characteristics of different control cycles and output the actual wind field characteristic data;

[0080] Control system: The control system includes a main controller, a communication interface, and a fan driver. The communication interface is used for the control system to transmit instructions and data to and from the human-machine interaction system, the wind field generation system, and the sensor system respectively, so as to receive the current prediction reference curve generated by the human-machine interaction system, receive the actual wind field characteristic data collected by the sensor system, and output control instructions to the wind field generation system; the main controller is used to generate a feedback correction signal and a wind field generation feedforward instruction, and superimpose the feedback correction signal and the wind field generation feedforward instruction to generate a wind field generation correction instruction; the fan driver is used for the control system to perform distributed driving on the fan generation system, so as to realize independent adjustment of the rotation speed of each fan.

[0081] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A wind field generation and regulation method based on Fourier series, characterized in that, It includes the following steps: S100: Construct a wind field generation system to generate an initial wind field instruction, and the wind field generation system completes initialization according to the initial wind field generation instruction; S200: Set the current Fourier series spectrum characteristics and the preset number of control cycles N, calculate the variation function of the current predicted wind field speed with time according to the current Fourier series spectrum characteristics, and generate the current predicted reference curve; S300: According to the current predicted reference curve, based on the feedforward control algorithm and the PID control algorithm, the wind field generation system performs current wind field generation and regulation under the current Fourier series spectrum characteristics within the preset N control cycles, and respectively records the current wind field generation and regulation data within the N control cycles; S400: Perform current data analysis and visualization according to the current wind field generation and regulation data within the N control cycles to obtain the current wind field simulation effect under the current Fourier series spectrum characteristics; S5 S500: Determine whether the current wind field simulation effect meets the user's wind field simulation requirements. If so, generate a termination instruction and the wind field generation system stops working; if not, adjust the current Fourier series spectrum characteristics and return to S300.

2. The method for generating and regulating a wind field based on Fourier series according to claim 1, wherein, The specific steps of S300 are as follows: S301: Construct a "wind field generation - wind field contribution" correlation model, combine the current predicted reference curve, calculate the predicted wind field generation parameters for the current nth control cycle, and generate the initial wind field for the current nth control cycle, where n = 1; S302: Based on the feedforward algorithm, according to the current predicted reference curve and the "wind field generation - wind field contribution" correlation model, calculate the predicted wind field generation parameters for the current (n + 1)th control cycle, and output the wind field generation feedforward instruction for the current (n + 1)th control cycle; S303: The wind field generation system receives the wind field generation feedforward instruction for the current (n + 1)th control cycle, quickly adjusts the initial wind field for the current nth control cycle, and generates the actual wind field for the current nth control cycle; S304: Collect the actual wind field characteristics for the current nth control cycle to obtain the actual wind field characteristic data for the current nth control cycle; S305: Compare the actual wind field characteristic data for the current nth control cycle with the current predicted reference curve to obtain the wind field error for the current nth control cycle; S306: Based on the PID control algorithm, generate a feedback correction signal for the current (n + 1)th control cycle according to the wind field error for the current nth control cycle; S307: Generate a wind field correction instruction for the current (n + 1)th control cycle according to the feedback correction signal for the current (n + 1)th control cycle and the wind field generation feedforward instruction for the current (n + 1)th control cycle; S308: The wind field generation system receives the wind field correction instruction for the current (n + 1)th control cycle, quickly adjusts the actual wind field for the nth control cycle, that is, the initial wind field for the current (n + 1)th control cycle, and generates the actual wind field for the current (n + 1)th control cycle, and let n = n + 1; S309: Determine whether n is greater than N. If so, output the current wind farm generation and regulation data within N control cycles, including the current actual wind farm characteristic data, the current wind farm generation feedforward command, the current wind farm generation correction command, and the current wind farm error within N control cycles; if not, return to S302.

3. A method for generating and regulating a wind field based on Fourier series according to claim 2, characterized in that, The current predicted wind field speed is the wind speed distribution of the predicted time-varying wind field at different times, denoted as W des (x, y, t), where x and y are spatial variables and t is a time variable. The current predicted wind field speed W des (x, y, t) can be regarded as being composed of a series of sine and cosine basis functions and expanded by Fourier series as: where A n is the amplitude of each harmonic, ω n is the frequency of each harmonic, φ n is the phase of each harmonic, f n (x, y) is the spatial component set by the system. The current Fourier series spectrum characteristics include the current amplitude of each harmonic, the current frequency of each harmonic, and the current phase of each harmonic. The current Fourier series spectrum characteristics can be user-defined.

4. The method for generating and regulating a wind field based on Fourier series according to claim 3, wherein, The construction process of the "wind farm generation - wind farm contribution" correlation model in S301 is as follows: Through multiple adjustments of the wind farm generation parameters in the wind farm generation system, conduct wind farm contribution calibration tests on the wind farm generation system, and record the wind farm contribution calibration test data; according to the wind farm contribution calibration test data, determine the wind farm contribution degrees of different wind farm generation parameters, and construct the "wind farm generation - wind farm contribution" correlation model.

5. The method for generating and regulating a wind field based on Fourier series according to claim 4, wherein The specific feedforward algorithm in S302 is as follows: the predicted wind field speed in the current (n + 1)-th control period can be predicted through the current predicted reference curve. According to the predicted wind field speed in the current (n + 1)-th control period, the corresponding current predicted wind field generation parameters can be inversely solved by using the "wind field generation - wind field contribution" correlation model. Based on the current predicted wind field generation parameters in the current (n + 1)-th control period, the main controller can output the feedforward command for wind field generation in the current n-th control period, and the feedforward command for wind field generation in the current n-th control period is denoted as u ff,i (t).

6. The method for generating and regulating a wind field based on Fourier series according to claim 5, wherein The PID control algorithm in S306 is specifically as follows: The actual wind field characteristic data in the current nth control cycle includes the actual wind speed of the actual wind field in the current nth control cycle, denoted as W meas , the wind field error in the current nth control cycle is denoted as e i (t), e i (t)=[W des -W meas regioni , the feedback correction signal in the current (n + 1)th control cycle is denoted as u PID,i (t), and the PID calculation formula of the PID control algorithm is:​ Where, K p,i is the proportional gain, K i,i is the integral gain, and K d,i is the derivative gain.

7. A wind field generation and regulation method based on Fourier series according to claim 6, characterized in that The current wind farm correction instruction in S307 for the (n + 1)-th control cycle is formed by superimposing the feedback correction signal u PID,i (t) in the current (n + 1)-th control cycle and the feedforward wind farm generation instruction u ff,i (t) in the current n-th control cycle, denoted as u i (t), that is, u i (t) = u ff,i (t) + u PID,i (t).

8. A wind field generation and regulation system based on Fourier series, which is applied to the wind field generation and regulation method based on Fourier series described in any one of the above claims 1-7, and is characterized in that, Including: Human - machine interaction system: Used for users to input the customized current Fourier series spectrum characteristics and the preset number of control cycles, and generate the current prediction reference curve; also used for data and visualization of the current wind farm generation and regulation data. Wind farm generation system: Used to generate a complex time - varying wind farm that changes dynamically with time. Sensor system: Comprising wind speed sensors and laser anemometers arranged in an array in the test area, used to collect the actual wind farm characteristics of different control cycles and output the actual wind farm characteristic data. Control system: Comprising a main controller, a communication interface, and a fan driver. The communication interface is used for the control system to transmit commands and data to and from the human - machine interaction system, the wind farm generation system, and the sensor system respectively. The main controller is used to generate a feedback correction signal and a wind farm generation feedforward command, and superimpose the feedback correction signal and the wind farm generation feedforward command to generate a wind farm generation correction command; the fan driver is used for distributed driving of the fan generation system.

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