Self-adaptive parameter-adjusting semi-active wind turbine blade damping system and control method

Abstract

The invention discloses a self-adaptive parameter-adjusting semi-active wind turbine blade damping system and a control method, belongs to the technical field of wind power generation, and solves the problem of how to reduce the vibration amplitude of an existing wind turbine blade. The device comprises a data processing module and a modal control module, the data processing module comprises a blade aeroelastic response monitoring unit and a data integration calculation unit, the modal control module comprises a control shell, a sliding rail is arranged at the bottom in the control shell, and a magnet and a constant mass block are arranged on the sliding rail through sliding blocks; frequency adjusting mechanisms acting on the magnet and the constant mass block are arranged at the two ends of the sliding rail; a damping adjusting mechanism acting on the magnet and the constant mass block is arranged above the magnet and the constant mass block. The data integration calculation unit is electrically connected with the frequency adjusting mechanism and the damping adjusting mechanism. By reconstructing the structural dynamic characteristics of the blade system, the vibration amplitude of an existing wind turbine blade is reduced, and the requirement for long-term stable operation of the wind turbine blade is met.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power generation, and particularly relates to a semi-active wind turbine blade vibration damping system with adaptive parameter adjustment and a control method therefor. Background Art

[0002] With the rapid development of wind power generation equipment, its single-unit capacity has exceeded the 20 MW level, the blade length exceeds 100 meters, and the hub height exceeds 150 meters. Although large-sized wind turbine generators significantly improve the power generation efficiency, they also bring new technical challenges to the operation of the blades and the entire unit. During the wind power generation process, the wind turbine blades need to withstand complex wind loads and vortex-induced vibrations. Although the ultimate strength and fatigue strength have been fully considered in the design stage, and efforts have been made to avoid the resonance frequency with the unit structure, the blades still inevitably exhibit large-amplitude vibrations during operation due to wind speed changes and gust effects, seriously threatening the fatigue life of the blades.

[0003] Currently, in order to reduce the vibration amplitude of wind turbine blades, the industry usually lays damping materials (such as rubber) during the blade manufacturing process in order to reduce the amplitude. However, since the improvement of the overall damping of the blades by these materials is limited, the actual effect is not significant, and the vibration problems brought by complex wind fields cannot be effectively solved. In addition, there are some other control means, such as active vibration suppression technology that adjusts the aerodynamic damping in cooperation with the control system, but it has extremely high requirements for the accuracy and response speed of the control system. In a complex wind condition environment, it is difficult to maintain the stability of the aerodynamic damping effect, and there are significant technical and engineering application obstacles; or a tuned mass damper is used to reduce the vibration amplitude, but since the tuned mass damper can only suppress vibrations at specific frequencies, it cannot meet the vibration suppression requirements when the wind turbine blades undergo complex vibrations. Therefore, there is an urgent need to develop a new solution that can overcome the above problems to meet the requirements of the long-term stable operation of wind turbine blades. Summary of the Invention

[0004] Aiming at the above problems in the prior art, the present invention provides a semi-active wind turbine blade vibration damping system with adaptive parameter adjustment and a control method therefor, which solves the problem of how to reduce the vibration amplitude of existing wind turbine blades.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is as follows:

[0006] On the one hand, an adaptive parameter - tuning semi - active vibration damping system for wind turbine blades is provided. It includes a data - processing module and a modal - control module. The data - processing module includes a blade aero - elastic response monitoring unit and a data integration and calculation unit. The blade aero - elastic response monitoring unit is electrically connected to the data integration and calculation unit. The modal - control module includes a control housing. At the bottom inside the control housing, there is a slide rail. A magnet and a constant mass block are arranged on the slide rail through a slider. At both ends of the slide rail, there is a frequency - adjusting mechanism acting on the magnet and the constant mass block. Above the magnet and the constant mass block, there is a damping - adjusting mechanism acting on the magnet and the constant mass block. The data integration and calculation unit is electrically connected to the frequency - adjusting mechanism and the damping - adjusting mechanism respectively.

[0007] In the present invention, the vibration signal of the wind turbine blade is monitored by the blade aero - elastic response monitoring unit and fed back to the data integration and calculation unit to control the frequency - adjusting mechanism and the damping - adjusting mechanism of the modal - control module, thereby reconstructing the structural dynamic characteristics of the blade system, and further reducing the vibration amplitude of the existing wind turbine blade to meet the requirement of the long - term stable operation of the wind turbine blade.

[0008] Furthermore, the blade aero - elastic response monitoring unit includes a plurality of acceleration sensors and a data acquisition card. The plurality of acceleration sensors are uniformly arrayed at the tip of the wind turbine blade, and the plurality of acceleration sensors are all electrically connected to the data acquisition card through a signal transmission unit.

[0009] Furthermore, the data integration and calculation unit includes a micro - processor. On the micro - processor, a sensor signal processing unit, a vibration mode identification unit, a modal - control module parameter optimization unit, and a control instruction generation unit are integrated.

[0010] Furthermore, the frequency - adjusting mechanism includes frequency - adjusting units respectively arranged at both ends of the slide rail. The frequency - adjusting unit includes a rotating rod arranged in the control housing through two first bearings, an adjusting motor arranged on the side wall of the control housing, and a second bearing arranged on the top wall of the control housing through a bearing bracket. Above the rotating rod, there is a turbine. Between the output shaft of the adjusting motor and the second bearing, there is a worm. The turbine is meshed with the worm. Below the rotating rod, it is connected to the magnet and the constant mass block through a connection component.

[0011] Furthermore, the connection component includes a tightening gear arranged on the rotating rod. The tightening gear is connected to the magnet and the constant mass block through a belt.

[0012] Furthermore, positioning holes that match the teeth of the tightening gear are formed on the belt. By embedding the teeth of the tightening gear into the positioning holes, the belt is meshed with the tightening gear.

[0013] Furthermore, baffles are arranged at both the upper and lower ends of the tightening gear, and a positioning strip acting on the belt is arranged between the two baffles.

[0014] Furthermore, the damping adjustment mechanism includes a push rod motor disposed on the top wall of the control housing, and an aluminum plate is provided at the output end of the push rod motor.

[0015] On the other hand, a control method for a semi-active wind turbine blade vibration damping system based on adaptive parameter adjustment is provided, which includes the following steps:

[0016] Step S1: A data processing module and a modal control module are respectively arranged at the data processing module installation point and the modal control module installation point on the wind turbine blade;

[0017] Step S2: Start the blade aerodynamic elastic response monitoring unit in the data processing module. When low-frequency vibration or amplitude exceeding the safety threshold is detected, trigger the data integration calculation module to calculate the effective vibration damping frequency of the magnet and the constant mass block and the optimized distance between the aluminum plate and the magnet and the constant mass block;

[0018] Step S3: The data integration calculation unit starts the modal control module to make the natural frequency of the magnet and the constant mass block match the main vibration frequency of the wind turbine blade. At the same time, adjust the position of the aluminum plate to generate eddy current damping force;

[0019] Step S4: Continue to monitor, and based on the real-time feedback of the vibration attenuation rate, iteratively optimize the parameters through the data integration calculation unit to achieve the dynamic stability reconstruction of the two-degree-of-freedom system of the wind turbine blade.

[0020] The present invention discloses a semi-active wind turbine blade vibration damping system and a control method based on adaptive parameter adjustment, and the beneficial effects are as follows:

[0021] The present invention monitors the vibration signal of the wind turbine blade through the blade aerodynamic elastic response monitoring unit, and feeds it back to the data integration calculation unit to control the frequency adjustment mechanism and the damping adjustment mechanism of the modal control module, thereby reconstructing the structural dynamic characteristics of the blade system, and further reducing the vibration amplitude of the existing wind turbine blade to meet the requirements of the long-term stable operation of the wind turbine blade. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a schematic structural diagram of a semi-active wind turbine blade vibration damping system with adaptive parameter adjustment according to the present invention.

[0023] Figure 2 It is a schematic structural diagram of another angle of a semi-active wind turbine blade vibration damping system with adaptive parameter adjustment according to the present invention.

[0024] Figure 3 It is a schematic structural diagram of the frequency adjustment mechanism according to the present invention.

[0025] Figure 4 It is a schematic installation position diagram of the wind turbine blade according to the present invention.

[0026] Figure 5 This is the logic architecture block diagram of a semi - active wind turbine blade vibration damping system with adaptive parameter adjustment according to the present invention.

[0027] Among them, 1. slider; 2. magnet and constant mass block; 3. slide rail; 4. tightening gear; 5. control housing; 6. adjustment motor; 7. worm; 8. turbine; 91. bearing bracket; 92. second bearing; 10. push rod motor; 11. aluminum plate; 12. first bearing; 13. belt; 14. installation point of modal control module; 15. installation point of data processing module; 16. wind turbine blade; 17. rotating rod; 18. positioning hole; 19. baffle; 20. positioning strip. Specific implementation manners

[0028] The specific implementation manners of the present invention will be described to facilitate those skilled in the art of this technical field to understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation manners. For those of ordinary skill in the art of this technical field, as long as various changes are within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions created using the concept of the present invention are within the scope of protection.

[0029] Embodiment 1

[0030] Reference Figures 1 - 5 , this embodiment provides a semi - active wind turbine blade vibration damping system with adaptive parameter adjustment, the purpose of which is to reduce the vibration amplitude of existing wind turbine blades. The specific structure in this embodiment will be elaborated in detail below.

[0031] A semi - active wind turbine blade vibration damping system with adaptive parameter adjustment includes a data processing module and a modal control module.

[0032] Among them, the data processing module includes a blade aero - elastic response monitoring unit and a data integration calculation unit; the blade aero - elastic response monitoring unit is electrically connected to the data integration calculation unit.

[0033] Specifically, the modal control module includes a control housing 5. At the bottom inside the control housing 5, there is a slide rail 3. On the slide rail 3, there is a magnet and a constant mass block 2 arranged through a slider 1. At both ends of the slide rail 3, there is a frequency adjustment mechanism acting on the magnet and the constant mass block 2. Above the magnet and the constant mass block 2, there is a damping adjustment mechanism acting on the magnet and the constant mass block 2. The data integration calculation unit is electrically connected to the frequency adjustment mechanism and the damping adjustment mechanism respectively.

[0034] In this embodiment, the data processing module and the modal control module are evenly arranged on the wind turbine blade 16. The blade aeroelastic response monitoring unit of the data processing module monitors the vibration signal of the wind turbine blade 16. The data integration calculation unit receives the vibration signal monitored by the blade aeroelastic response monitoring unit, analyzes and identifies the main vibration mode, calculates the effective vibration suppression frequency of the magnet and the constant mass block 2 and the eddy current damping force, and thus adjusts the frequency adjustment mechanism and the damping adjustment mechanism according to the calculation structure, and then reconstructs the structural dynamic characteristics of the blade system through the modal control module, thereby reducing the vibration amplitude of the existing wind turbine blade and meeting the requirements of the long-term stable operation of the wind turbine blade.

[0035] Specifically, the blade aeroelastic response monitoring unit includes a plurality of acceleration sensors and a data acquisition card. The plurality of acceleration sensors are evenly arrayed at the tip of the wind turbine blade 16, and the plurality of acceleration sensors are electrically connected to the data acquisition card through a signal transmission unit.

[0036] Specifically, the data integration calculation unit includes a microprocessor, and a sensor signal processing unit, a vibration mode identification unit, a modal control module parameter optimization unit, and a control instruction generation unit are integrated on the microprocessor.

[0037] In this embodiment, the blade aeroelastic response monitoring unit includes a plurality of acceleration sensors. The plurality of acceleration sensors are evenly arrayed at the tip of the wind turbine blade 16 to monitor and collect the vibration displacement, acceleration and frequency parameters of the wind turbine blade 16. At the same time, the plurality of acceleration sensors are electrically connected to the data acquisition card through a signal transmission unit. The signal transmission unit is composed of a transmission line network with an IP45 rating. The monitored data is transmitted to the data acquisition card through the transmission line network. The sampling frequency of the data acquisition card is set to 200 Hz to meet the capture requirements of the 0.5-15 Hz vibration frequency band.

[0038] The data integration calculation unit uses an industrial-grade microprocessor. A sensor signal processing unit, a vibration mode identification unit, a modal control module parameter optimization unit, and a control instruction generation unit are integrated on the microprocessor. Among them, the sensor signal processing unit is used to enhance the signal amplitude, filter out the sensor signal noise, and convert the sensor signal into an available signal;

[0039] The modal identification algorithm unit performs modal decomposition on the vibration data based on the blade structure parameter database to identify the flap, pitch and torsion modes of the blade;

[0040] The modal control module parameter optimization unit calculates the optimal vibration suppression parameters according to the modal identification results, including the frequency and the damping coefficient;

[0041] The control instruction generation unit converts the optimized parameters into control signals and outputs them to the modal control module.

[0042] The microprocessor is electrically connected to the data acquisition card. Thus, the vibration data captured is transmitted to the microprocessor through the data acquisition card. The microprocessor has a built-in signal FIR band-pass filtering algorithm, an improved ensemble empirical mode decomposition algorithm, and an equivalent mass model based on the inverse of the root bending moment. After calculating the optimal control parameters, it generates control instructions and sends them to the modal control module.

[0043] Specifically, the frequency adjustment mechanism includes frequency adjustment units respectively arranged at both ends of the slide rail 3; the frequency adjustment unit includes a rotating rod 17 arranged in the control housing 5 through two first bearings 12, an adjustment motor 6 arranged on the side wall of the control housing 5, and a second bearing 92 arranged on the top wall of the control housing 5 through a bearing bracket 91; a turbine 8 is arranged above the rotating rod 17, a worm 7 is arranged between the output shaft of the adjustment motor 6 and the second bearing 92, and the turbine 8 is meshed and connected with the worm 7; the lower part of the rotating rod 17 is connected to the magnet and the constant mass block 2 through a connection component.

[0044] In this embodiment, the rotating rod 17 is arranged between the two first bearings 12. At the same time, the two first bearings 12 are installed on the top wall and the bottom wall of the control housing 5 through bearing seats. The adjustment motor 6 is arranged on the side wall of the control housing 5. The output end of the adjustment motor 6 is fixedly connected to one end of the worm 7. The other end of the worm 7 is provided with the second bearing 92. The second bearing 92 is installed on the top wall of the control housing 5 through the bearing bracket 91. Furthermore, the worm 7 is driven by the adjustment motor 6, and the worm 7 is meshed with the turbine 8, so that the rotating rod 17 is driven to rotate by the turbine 8.

[0045] Specifically, the connection component includes a tightening gear 4 arranged on the rotating rod 17, and the tightening gear 4 is connected to the magnet and the constant mass block 2 through a belt 13.

[0046] Specifically, positioning holes 18 that match the teeth of the tightening gear 4 are formed in the belt 13. The belt 13 is meshed and connected with the tightening gear 4 by the teeth of the tightening gear 4 being embedded in the positioning holes 18.

[0047] In this embodiment, one end of the belt 13 is connected to the magnet and the constant mass block 2. The other end of the belt 13 is meshed and connected with the tightening gear 4 by the teeth of the tightening gear 4 being embedded in the positioning holes 18. Thus, the rotation of the rotating rod 17 drives the tightening gear 4 to rotate, realizing the length adjustment of the belt 13. A frequency response adjustment mechanism that combines a worm and worm gear self-locking mechanism and a positioning hole belt is adopted to achieve a frequency accuracy control of 0.1 Hz level, thereby adjusting the vibration frequency of the magnet and the constant mass block 2, and further realizing the suppression of the vibration of the wind turbine blade 16. Wide-frequency vibration suppression: The device can effectively suppress vibration in a wide frequency range from 0.5 Hz to 15 Hz, adapting to various vibration modes of the wind turbine blade under different working conditions.

[0048] Specifically, baffles 19 are provided at both the upper and lower ends of the tightening gear 4, and a positioning strip 20 acting on the belt 13 is provided between the two baffles 19.

[0049] In this embodiment, the positioning strip 20 is a C-shaped plate. The belt 13 falls between the two baffles 19 and passes through the positioning strip 20, thereby preventing the belt 13 from derailing.

[0050] Specifically, the damping adjustment mechanism includes a push rod motor 10 provided on the top wall of the control housing 5, and an aluminum plate 11 is provided at the output end of the push rod motor 10.

[0051] In this embodiment, the aluminum plate 11 realizes vertical displacement through the push rod motor 10, thereby realizing the adjustment of the distance between the aluminum plate 11 and the magnet and the constant mass block 2. When the two move relative to each other, eddy currents are generated to form an electromagnetic damping effect. Through the coupling effect of electromagnetic eddy current damping and mechanical mass tuning, a wide frequency domain (0.5 - 15 Hz) vibration suppression ability is formed, thereby suppressing the vibration of the wind turbine blade 16. Adaptive damping adjustment: By precisely controlling the distance between the aluminum plate and the magnet through the push rod motor, the damping size can be adjusted in real time, so that the system can maintain the best vibration suppression effect at different vibration frequencies and amplitudes.

[0052] Embodiment 2

[0053] Reference Figures 1 - 5 , this embodiment provides a semi-active vibration damping system for wind turbine blades with adaptive parameter adjustment, the purpose of which is to reduce the vibration amplitude of existing wind turbine blades. The specific structure in this embodiment will be elaborated in detail below.

[0054] A control method for a semi-active vibration damping system of wind turbine blades based on adaptive parameter adjustment, which includes the following steps:

[0055] Step S1, respectively deploy a data processing module and a modal control module at the data processing module installation point 15 and the modal control module installation point 14 on the wind turbine blade 16;

[0056] In this embodiment, a plurality of acceleration sensors are uniformly arranged at the data processing module installation point 15 at the tip of the wind turbine blade 16 to monitor and collect the vibration displacement, acceleration and frequency parameters of the wind turbine blade 16. The modal control module is deployed at the modal control module installation point 14 on the wind turbine blade 16 to suppress the vibration of the wind turbine blade 16.

[0057] Step S2, start the blade aerodynamic elastic response monitoring unit in the data processing module. When low-frequency vibration or amplitude exceeding the safety threshold is detected, trigger the data integration calculation module to calculate the effective vibration suppression frequency of the magnet and the constant mass block 2 and the optimized distance between the aluminum plate 11 and the magnet and the constant mass block 2;

[0058] In this embodiment, the data acquisition card monitors and acquires the vibration data of the wind turbine blade 16 through multiple acceleration sensors, and transmits the acquired vibration data to the microprocessor. When low-frequency vibrations of 1-5 Hz or an amplitude exceeding the safety threshold are detected in the monitored vibration data, the modal recognition algorithm unit in the microprocessor performs modal decomposition on the vibration data based on the blade structure parameter database to identify the flap, pitch, and torsional vibration modes of the blade. The parameter optimization unit of the modal control module calculates the optimal vibration suppression parameters according to the modal recognition results, including the effective vibration suppression frequencies of the magnet and the constant mass block 2 and the optimized spacing between the aluminum plate 11 and the magnet and the constant mass block 2. Finally, the control instruction generation unit converts the optimized parameters into control signals and outputs them to the modal control module.

[0059] Step S3: The data integration calculation unit activates the modal control module to make the natural frequency of the magnet and the constant mass block 2 match the main vibration frequency of the wind turbine blade 16. At the same time, the position of the aluminum plate 11 is adjusted to generate an eddy current damping force.

[0060] In this embodiment, the microprocessor controls the adjustment motor 6 to start, driving the worm 7 to rotate. The worm 7 meshes with the turbine 8, so as to drive the rotating rod 17 to rotate through the turbine 8. The rotating rod 17 drives the tightening gear 4 to tighten, and the effective length of the belt 13 is accurately adjusted according to the number of turns of the tightening gear 4, so that the natural frequency of the tightening gear 4 matches the main vibration frequency of the blade.

[0061] At the same time, the microprocessor controls the push rod motor 10 to push the aluminum plate 11 to a preset position to generate an eddy current damping force through the electromagnetic induction effect. Among them, for every 1 mm movement of the aluminum plate 11, a damping force gradient change of 5%-8% can be generated. Furthermore, through the coupling effect of electromagnetic eddy current damping and mechanical mass tuning, a broadband vibration suppression ability (0.5-15 Hz) is formed, thereby suppressing the vibration of the wind turbine blade 16.

[0062] Step S4: Continue to monitor, based on the real-time feedback of the vibration attenuation rate, iteratively optimize the parameters through the data integration calculation unit, and verify the vibration suppression effect through the acceleration sensor signal. When the amplitude attenuation rate < 60%, start the parameter iteration algorithm to update the control instruction to achieve the dynamic stability reconstruction of the two-degree-of-freedom system of the wind turbine blade 16.

[0063] Although the specific implementation manners of the invention have been described in detail in conjunction with the accompanying drawings, it should not be construed as a limitation on the protection scope of this patent. Within the scope described in the claims, various modifications and deformations that can be made by those skilled in the art without creative labor still fall within the protection scope of this patent.

Claims

1. A semi-active wind turbine blade vibration elimination system with adaptive parameter adjustment, characterized in that: It includes a data processing module and a modal control module; The data processing module includes a blade aeroelastic response monitoring unit and a data integration calculation unit; the blade aeroelastic response monitoring unit is electrically connected to the data integration calculation unit; The modal control module comprises a control housing (5), a slide rail (3) is arranged at the bottom of the control housing (5), a magnet and a constant mass block (2) are arranged on the slide rail (3) via a slider (1); frequency adjustment mechanisms acting on the magnet and the constant mass block (2) are arranged at both ends of the slide rail (3); and a damping adjustment mechanism acting on the magnet and the constant mass block (2) is arranged above the magnet and the constant mass block (2); The data integration calculation unit is electrically connected to the frequency adjustment mechanism and the damping adjustment mechanism respectively.

2. The semi-active wind turbine blade vibration elimination system with adaptive parameter adjustment according to claim 1 is characterized in that: The blade aeroelastic response monitoring unit comprises a plurality of acceleration sensors and a data acquisition card, wherein the plurality of acceleration sensors are evenly arrayed at the tip of the wind turbine blade (16), and the plurality of acceleration sensors are electrically connected to the data acquisition card via a signal transmission unit.

3. The semi-active wind turbine blade vibration elimination system with adaptive parameter adjustment according to claim 2 is characterized in that: The data integration calculation unit comprises a microprocessor, on which a sensor signal processing unit, a vibration mode recognition unit, a mode control module parameter optimization unit and a control instruction generation unit are integrated.

4. The semi-active wind turbine blade vibration elimination system with adaptive parameter adjustment according to claim 1 is characterized in that: The frequency adjustment mechanism comprises frequency adjustment units respectively arranged at two ends of the slide rail (3); the frequency adjustment unit comprises a rotating rod (17) arranged in the control housing (5) via two first bearings (12), an adjustment motor (6) arranged on the side wall of the control housing (5), and a second bearing (92) arranged on the top wall of the control housing (5) via a bearing frame (91); A turbine (8) is arranged above the rotating rod (17), a worm (7) is arranged between the output shaft of the regulating motor (6) and the second bearing (92), and the turbine (8) is meshingly connected with the worm (7); The lower part of the rotating rod (17) is connected to the magnet and the constant mass block (2) via a connecting assembly.

5. The semi-active wind turbine blade vibration elimination system with adaptive parameter adjustment according to claim 4 is characterized in that: The connection assembly comprises a tightening gear (4) arranged on the rotating rod (17), and the tightening gear (4) is connected to the magnet and the constant mass block (2) via a belt (13).

6. The semi-active wind turbine blade vibration elimination system with adaptive parameter adjustment according to claim 5 is characterized in that: The belt (13) is provided with a positioning hole (18) which fits with the teeth of the tightening gear (4); the teeth of the tightening gear (4) are embedded in the positioning hole (18), so that the belt (13) is meshed and connected with the tightening gear (4).

7. The semi-active wind turbine blade vibration elimination system with adaptive parameter adjustment according to claim 6 is characterized in that: Baffles (19) are provided at both upper and lower ends of the tightening gear (4), and a positioning strip (20) acting on the belt (13) is provided between the two baffles (19).

8. The semi-active wind turbine blade vibration elimination system with adaptive parameter adjustment according to claim 1 is characterized in that: The damping adjustment mechanism comprises a push rod motor (10) arranged on the top wall of the control housing (5), and an aluminum plate (11) is arranged at the output end of the push rod motor (10).

9. A control method for a semi-active wind turbine blade vibration elimination system based on the adaptive parameter adjustment according to any one of claims 1 to 8, characterized in that: The following steps are involved: Step S1, respectively arranging a data processing module and a modal control module at a data processing module installation point (15) and a modal control module installation point (14) on a wind turbine blade (16); Step S2, starting the blade aeroelastic response monitoring unit in the data processing module, and when low-frequency vibration or amplitude exceeding a safety threshold is detected, triggering the data integration calculation module to calculate the effective vibration suppression frequency of the magnet and the constant mass block (2) and the optimized spacing between the aluminum plate (11) and the magnet and the constant mass block (2); Step S3, the data integration calculation unit starts the modal control module to make the natural frequency of the magnet and the constant mass block (2) match the main vibration frequency of the wind turbine blade (16), and at the same time, adjust the position of the aluminum plate (11) to generate eddy current damping force; Step S4, continue monitoring, based on real-time feedback of the vibration attenuation rate, iteratively optimize parameters through a data integration calculation unit, and achieve dynamic stability reconstruction of the two-degree-of-freedom system of the wind turbine blade (16).

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