A fan impeller face wind parameter measurement method and system
By installing a wind-measuring lidar inside the hub shroud of the wind turbine impeller, the radial wind speed and beam spatial pointing vector are collected and cached in real time, and the wind parameters of the wind turbine impeller surface are calculated. This solves the problem of large wind parameter measurement error on units with large impeller surface diameters and achieves higher wind parameter inversion accuracy and measurement point density.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HENGHUI PHOTOELECTRIC MEASUREMENT TECH (JILIN) CO LTD
- Filing Date
- 2026-03-19
- Publication Date
- 2026-07-24
Smart Images
Figure CN121878717B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of lidar measurement technology, specifically to the field of wind parameter measurement. Background Technology
[0002] Nacelle-mounted wind-measuring lidar has been widely used in wind turbine generators for applications such as wind turbine feedforward control, yaw control, and wind power curve testing. With the increasing size of wind turbine generators, the rotor diameter is becoming larger. Simultaneously, the installation sites for wind turbines are becoming more complex. These factors make it more difficult to estimate wind parameters on the rotor surface, specifically manifested in drastic instantaneous changes in wind speed and direction within the rotor surface, affecting the safe control and power generation efficiency of the wind turbine.
[0003] The application of nacelle-mounted wind-measuring lidar has alleviated these problems to some extent. Common nacelle-mounted wind-measuring lidar beam configurations include two-beam, four-beam, and eight-beam configurations, while lidar used for main engine control is usually four-beam. A four-beam wind-measuring lidar is fixed to the top of the nacelle and is used to measure the radial wind speed at four fixed points, and then perform wind parameter inversion based on the frozen turbulence assumption.
[0004] However, for turbines with large rotor diameters, this method, with only four points, is insufficient to accurately reflect changes in wind parameters within the rotor surface. In practical applications, nacelle-type wind-measuring lidar exhibits certain errors in measuring wind parameters (axial projected wind speed, horizontal wind shear, and vertical wind shear, etc.) for complex terrain and turbines with large rotor diameters, increasing the application difficulty for turbine manufacturers.
[0005] In summary, existing nacelle-type wind measurement lidar technology suffers from large errors in wind parameter measurement. Summary of the Invention
[0006] This invention alleviates the problem of large wind parameter measurement errors in existing nacelle-type wind lidar technology. This invention provides the following solution:
[0007] Option 1: A method for measuring wind parameters of a wind turbine impeller, wherein the measurement method uses a switching cycle. As a unit of measurement, each unit of measurement yields a measurement result in each switching cycle. The measurement method includes the following steps:
[0008] Step S1: Send the launch command, and then collect in real time the aerosol backlight signal, hub rotation angular velocity and attitude angle fed back by the wind measurement lidar located inside the hub shroud of the wind turbine impeller, to obtain the real-time radial wind speed and beam spatial pointing vector.
[0009] Step S2: Cache the obtained radial wind speed and beam spatial pointing vector until the maximum number of cached times is reached. Obtain the buffered radial wind speed group and beam spatial pointing vector group ;
[0010] Step S3: Based on the radial wind speed group and the beam spatial pointing vector group, obtain the wind parameters of the wind turbine impeller surface; the wind parameters of the wind turbine impeller surface include the wind shear index. Wind direction change rate Wheel hub height and wind speed and wheel hub height and wind direction .
[0011] Furthermore, in one embodiment of the present invention, obtaining the wind parameters of the wind turbine impeller surface in step S3 includes the following steps:
[0012] Step S30: Initialize the wind parameters of the fan impeller surface;
[0013] Step S31, through
[0014]
[0015] Obtain the height group of the beam , where n represents the sequence number of the height group. The height of the wheel hub. The set of spatial pointing vectors for the beam of Directional components, For radar to measure cross-sectional distance, For beam and Angle between axes;
[0016] Step S32, through
[0017]
[0018] Obtain the wind speed group at the height of the beam ;
[0019] Step S33, through
[0020]
[0021] Obtain the wind direction group at the height of the beam. ;
[0022] Step S34, through
[0023]
[0024] Obtain radial wind speed estimation group ;
[0025] Step S35, through
[0026]
[0027] Obtaining error ,in, This refers to the number of updates;
[0028] like If the wind parameters of the impeller are updated, the process returns to step S32; otherwise, the wind parameters of the impeller are obtained. This represents the minimum error change between two consecutive iterations.
[0029] Furthermore, in one embodiment of the present invention, the wind shear index in the wind parameters of the wind turbine impeller surface described in step S35 is... pass
[0030]
[0031] Update, in which, Wind shear index The learning factor has a value range of (0-1); Wind shear index The partial derivatives of .
[0032] Furthermore, in one embodiment of the present invention, the wind direction change rate in the wind parameters of the wind turbine impeller surface described in step S35 is... pass
[0033]
[0034] Update, in which, Wind direction change rate The learning factor has a value range of (0-1); Wind direction change rate The partial derivatives of .
[0035] Furthermore, in one embodiment of the present invention, the hub height wind speed in the wind parameters of the wind turbine impeller surface described in step S35 is... pass
[0036]
[0037] Update, in which, Wind speed at wheel hub height The learning factor has a value range of (0-1); Wind speed at wheel hub height The partial derivatives of .
[0038] Furthermore, in one embodiment of the present invention, the hub height and wind direction in the wind parameters of the wind turbine impeller surface described in step S35 are... pass
[0039]
[0040] Update, in which, Wind direction at wheel hub height The learning factor has a value range of (0-1); Wind direction at wheel hub height The partial derivatives of .
[0041] Option 2: A wind turbine impeller surface wind parameter measurement system, the wind turbine impeller surface wind parameter measurement system comprising a balance detector, a main control unit, a laser, an auxiliary control unit, and an attitude sensing and control unit;
[0042] The attitude perception and control unit is used to transmit control commands to the laser when a transmission command is received; it is also used to acquire the hub rotation angular velocity and attitude angle in real time; it is also used to acquire a beam spatial pointing vector group based on the hub rotation angular velocity and attitude angle; and it is also used to send the beam spatial pointing vector to the main control unit.
[0043] The laser is used to generate a raw laser beam based on the transmission command control command, and to split the raw laser beam into a radar beam and a local oscillator beam. The radar beam is switched at a fixed frequency, and the switching direction is consistent with the rotation direction of the wind turbine impeller. It is also used to send the local oscillator beam to the balance detector.
[0044] The balanced detector is used to receive the signal light and the local oscillator light, and obtain the aerosol return light signal after photoelectric conversion; it is also used to send the aerosol return light signal to the main control unit.
[0045] The main control unit is used to obtain the radial wind speed based on the aerosol backlight signal; it is also used to obtain the radial wind speed after each switching cycle. The attitude sensing and control unit, which sends the launch command, is also used to cache the radial wind speed and beam spatial pointing vector to obtain the radial wind speed group. and beam spatial pointing vector group It is also used based on the radial wind speed group. and beam spatial pointing vector group The wind parameters of the impeller surface are obtained by measuring the wind parameters of the impeller surface.
[0046] The wind turbine impeller surface wind parameter measurement method is any one of the wind turbine impeller surface wind parameter measurement methods described in this invention.
[0047] The wind parameter measurement method and system for wind turbine impeller surfaces described in this invention effectively alleviates the problem of large measurement errors in existing nacelle-type wind measurement lidar technology. Specific beneficial effects include:
[0048] The wind turbine impeller surface wind parameter measurement method of the present invention installs a wind-measuring lidar inside the hub shroud of the wind turbine impeller, which can realize more measurement points in the impeller surface without increasing costs, greatly improving the inversion accuracy of wind parameters, and thus increasing the application scale of wind-measuring lidar in wind power.
[0049] The method described in this invention is applicable to wind parameter measurement under non-uniform wind field conditions. Attached Figure Description
[0050] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:
[0051] Figure 1 This is a flowchart of the wind turbine impeller surface wind parameter measurement method described in Embodiment 1;
[0052] Figure 2 This is a schematic diagram of the radar coordinate system described in Implementation Method 1;
[0053] Figure 3 This is a schematic diagram of the cache as described in Implementation Method 1;
[0054] Figure 4 This is a schematic diagram of the installation location of the wind-measuring lidar as described in Embodiment 1;
[0055] Figure 5 This is a comparison diagram of the measurement points described in Embodiment 1, where the blue dots represent the measurement points of a conventional nacelle-type wind-measuring lidar, and the orange dots represent the measurement points of this embodiment.
[0056] Figure 6 This is a flowchart of obtaining the wind parameters of the wind turbine impeller surface as described in Embodiment 2;
[0057] Figure 7 This is a schematic diagram of the wind turbine impeller surface wind parameter measurement system described in Embodiment 7;
[0058] Figure 8 This is a schematic diagram of the multi-beam wind turbine impeller surface wind parameter measurement system based on a wedge mirror as described in Embodiment 7;
[0059] Figure 9 This is the simulation parameter diagram described in Implementation Method 8;
[0060] Figure 10 This is a graph of measured wind field data as described in Implementation Method 8;
[0061] Figure 11 This is a comparison chart of the wind speed simulation results described in Implementation Method 8;
[0062] Figure 12This is a comparison chart of the simulation results of the impeller surface wind parameters described in Implementation Method 8.
[0063] Figure label:
[0064] LiDAR 1; Range cross section 2; LiDAR beam 3. Detailed Implementation
[0065] Various embodiments of the present invention will now be clearly and completely described with reference to the accompanying drawings. The embodiments described with reference to the drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.
[0066] Implementation Method 1: A method for measuring wind parameters on the impeller surface of a wind turbine, as described in this implementation method... Figure 1 As shown, in the measurement method, the switching cycle is used. As a unit of measurement, each unit of measurement yields a measurement result in each switching cycle. The measurement method includes the following steps:
[0067] Step S1: Send the launch command, and then collect in real time the aerosol backlight signal, hub rotation angular velocity and attitude angle fed back by the wind measurement lidar located inside the hub shroud of the wind turbine impeller, to obtain the real-time radial wind speed and beam spatial pointing vector.
[0068] Step S2: Cache the obtained radial wind speed and beam spatial pointing vector until the maximum number of cached times is reached. Obtain the buffered radial wind speed group and beam spatial pointing vector group ;
[0069] Step S3: Based on the radial wind speed group and the beam spatial pointing vector group, obtain the wind parameters of the wind turbine impeller surface; the wind parameters of the wind turbine impeller surface include the wind shear index. Wind direction change rate Wheel hub height and wind speed and wheel hub height and wind direction .
[0070] In this embodiment, the wind-measuring lidar is installed inside the hub shroud of the wind turbine impeller. When the wind turbine impeller is started, the wind-measuring lidar rotates with the wind turbine impeller.
[0071] In this embodiment, the multiple radar beams mentioned in step S1 operate at a fixed frequency (switching period). The radar beam is switched in the same direction as the wind turbine blades.
[0072] In this embodiment, the wind-measuring lidar described in step S1 emits a radar beam, which is transmitted into the atmosphere through the optical window on the fairing. The radial wind speed in the direction of the beam is measured by measuring the Doppler frequency of the aerosol particles.
[0073] In this embodiment, the spatial pointing vector of the beam in step S1 is obtained through the following steps:
[0074] Step S011, Define the lidar coordinate system, with the origin at... Located at the exact center of the window mirror of the wind-measuring lidar, The axis points along the origin of the coordinate system directly in front of the window mirror of the wind-measuring lidar. The axis is perpendicular to the mounting reference plane of the wind-measuring lidar and faces upwards. The axes conform to the right-hand rule, and the beams of the wind-measuring lidar switch sequentially in a clockwise direction from 0 to 1 to 2 to… The included angle of the axis is ,and The angle between the positive directions of the axis and the positive direction is ;
[0075] Step S012, through
[0076]
[0077] Obtain the The pointing vector of a radar beam in the radar coordinate system. The number of the radar beam;
[0078] The radar coordinate system is as follows: Figure 2 As shown;
[0079] Step S013, through
[0080]
[0081] Obtain the The beam spatial pointing vector of a radar beam in the hub coordinate system ,in, This represents the radar roll angle.
[0082] The radar roll angle is measured by an attitude sensor. The radar roll angle is along the positive x-axis, and counterclockwise is positive.
[0083] In this embodiment, step S1 is performed by...
[0084]
[0085] Obtain the Radial wind speed of each radar beam ,in, This is the frequency of the backlight Doppler.
[0086] The backlight Doppler frequency The aerosol backlight signal after photoelectric conversion by the main control unit is acquired, and the backlight power spectrum is calculated by methods such as power spectrum estimation, thereby obtaining the backlight Doppler frequency. .
[0087] In this embodiment, it can be achieved by...
[0088]
[0089] Obtaining equivalent wind speed .
[0090] In this embodiment, the cache mentioned in step S2 is as follows: Figure 3 As shown.
[0091] The wind turbine impeller surface wind parameter measurement method described in this embodiment involves installing a wind-measuring lidar inside the hub shroud of the wind turbine impeller, such as... Figure 4 As shown, by switching the radar beam frequency at a fixed frequency while the wind turbine rotor rotates, more measurement points can be obtained, and they are basically evenly distributed on the cross section of the measured distance.
[0092] This embodiment uses a four-beam wind-measuring lidar with a wind turbine speed of 10 r / min and a radar beam switching frequency of 4 Hz as an example. After the wind turbine blades rotate one revolution, the measurement points on a certain distance section measured in this embodiment are compared with those measured by a conventional nacelle-type wind-measuring lidar. Figure 5 As shown, the scanning method of this embodiment can obtain more measurement points, which are basically evenly distributed on the cross-section of the measured distance.
[0093] Implementation Method 2: This implementation method further defines the wind turbine impeller surface wind parameter measurement method described in Implementation Method 1. In this implementation method, obtaining the wind turbine impeller surface wind parameter in step S3 includes the following steps:
[0094] Step S30: Initialize the wind parameters of the fan impeller surface;
[0095] Step S31, through
[0096]
[0097] Obtain the height group of the beam , where n represents the sequence number of the height group. The height of the wheel hub. The set of spatial pointing vectors for the beam of Directional components, For radar to measure cross-sectional distance, For beam and Angle between axes;
[0098] Step S32, through
[0099]
[0100] Obtain the wind speed group at the height of the beam ;
[0101] Step S33, through
[0102]
[0103] Obtain the wind direction group at the height of the beam. ;
[0104] Step S34, through
[0105]
[0106] Obtain radial wind speed estimation group ;
[0107] Step S35, through
[0108]
[0109] Obtaining error ,in, This refers to the number of updates;
[0110] like If the wind parameters of the impeller are updated, the process returns to step S32; otherwise, the wind parameters of the impeller are obtained. This represents the minimum error change between two consecutive iterations.
[0111] In this embodiment, The minimum error change between two consecutive iterations is preferred. .
[0112] In this embodiment, step S35 can also be achieved by... To determine whether the wind parameters of the fan impeller need to be updated, the This represents the maximum number of updates.
[0113] This embodiment further defines step S3, providing an example of how to obtain wind parameters of the wind turbine impeller surface. By installing a wind-measuring lidar inside the hub shroud of the wind turbine impeller, the lidar can rotate with the hub. Combined with the lidar's multi-beam switching, measurements at multiple free points in space are achieved. Based on the measurement results of more free points, the wind parameter calculation method proposed in this embodiment can ultimately converge to a higher iterative accuracy, thereby improving the accuracy of wind parameter calculation. Existing wind parameter calculation methods are a special case of this embodiment, where the lidar scans four or eight specific points and assumes that these specific points characterize the wind field changes across the entire impeller surface, which cannot be applied to the scenario of this embodiment.
[0114] Implementation Method 3: This implementation method further defines the wind parameter measurement method for the wind turbine impeller surface described in Implementation Method 2. In this implementation method, the wind shear index in the wind parameter of the wind turbine impeller surface described in step S35 is... pass
[0115]
[0116] Update, in which, Wind shear index The learning factor has a value range of (0-1); Wind shear index The partial derivatives of .
[0117] In this embodiment, the wind shear index partial derivatives for:
[0118]
[0119] Implementation Method Four: This implementation method further defines the wind turbine impeller surface wind parameter measurement method described in Implementation Method Two. In this implementation method, the wind direction change rate in the wind turbine impeller surface wind parameter described in step S35 is... pass
[0120]
[0121] Update, in which, Wind direction change rate The learning factor has a value range of (0-1); Wind direction change rate The partial derivatives of .
[0122] In this embodiment, the wind direction change rate partial derivatives for,
[0123] .
[0124] Implementation Method 5: This implementation method further defines the wind turbine impeller surface wind parameter measurement method described in Implementation Method 2. In this implementation method, the hub height wind speed in the wind turbine impeller surface wind parameters described in step S35 is... pass
[0125]
[0126] Update, in which, Wind speed at wheel hub height The learning factor has a value range of (0-1); Wind speed at wheel hub height The partial derivatives of .
[0127] In this embodiment, the partial derivative of the wind speed at the hub height for,
[0128] .
[0129] Implementation Method Six: This implementation method further defines the wind turbine impeller surface wind parameter measurement method described in Implementation Method Two. In this implementation method, the hub height and wind direction in the wind turbine impeller surface wind parameters described in step S35 are... pass
[0130]
[0131] Update, in which, Wind direction at wheel hub height The learning factor has a value range of (0-1); Wind direction at wheel hub height The partial derivatives of .
[0132] In this embodiment, the hub height wind direction partial derivatives for,
[0133] .
[0134] Implementation Method Seven: A wind turbine impeller surface wind parameter measurement system as described in this implementation method, such as... Figure 7 As shown, the wind turbine impeller surface wind parameter measurement system includes a balance detector, a main control unit, a laser, an auxiliary control unit, and an attitude perception and control unit;
[0135] The attitude perception and control unit is used to transmit control commands to the laser when a transmission command is received; it is also used to acquire the hub rotation angular velocity and attitude angle in real time; it is also used to acquire a beam spatial pointing vector group based on the hub rotation angular velocity and attitude angle; and it is also used to send the beam spatial pointing vector to the main control unit.
[0136] The laser is used to generate a raw laser beam based on the transmission command control command, and to split the raw laser beam into a radar beam and a local oscillator beam. The radar beam is switched at a fixed frequency, and the switching direction is consistent with the rotation direction of the wind turbine impeller. It is also used to send the local oscillator beam to the balance detector.
[0137] The balanced detector is used to receive the signal light and the local oscillator light, and obtain the aerosol return light signal after photoelectric conversion; it is also used to send the aerosol return light signal to the main control unit.
[0138] The main control unit is used to obtain the radial wind speed based on the aerosol backlight signal; it is also used to obtain the radial wind speed after each switching cycle. The attitude sensing and control unit, which sends the launch command, is also used to cache the radial wind speed and beam spatial pointing vector to obtain the radial wind speed group. and beam spatial pointing vector group It is also used based on the radial wind speed group. and beam spatial pointing vector group The wind parameters of the impeller surface are obtained by measuring the wind parameters of the impeller surface.
[0139] The wind turbine impeller surface wind parameter measurement method is any one of the wind turbine impeller surface wind parameter measurement methods described in Embodiments 1 to 6.
[0140] In this embodiment, the signal light received by the balancing detector is a weak light signal that is emitted as a radar beam, reflected by aerosols in the atmosphere, carries wind speed Doppler information, and returns to the balancing detector.
[0141] In this embodiment, the wind turbine impeller surface wind parameter measurement system may also include an optical switch and several optical telescopes for switching multiple beam channels.
[0142] In this embodiment, the wind turbine impeller surface wind parameter measurement system may further include a wedge mirror, a scanning motor, and a single optical telescope for switching between multiple beam channels, such as... Figure 8 As shown.
[0143] In this embodiment, the wind turbine impeller surface wind parameter measurement system further includes an auxiliary control unit;
[0144] The main control unit is used to send the wind parameters of the wind turbine impeller surface to the auxiliary control unit;
[0145] The auxiliary control unit is used to send the wind parameters of the fan impeller surface to the main fan controller to realize fan control.
[0146] In this embodiment, the main control unit is used to cache the radial wind speed and the beam spatial pointing vector, preferably in the form of a queue, such as... Figure 3 As shown.
[0147] Implementation Method 8: The wind turbine impeller surface wind parameter measurement method used in this implementation method is based on the wind turbine impeller surface wind parameter measurement method described in Implementation Method 1 and the wind turbine impeller surface wind parameter measurement system described in Implementation Method 7, combined with the wind turbine impeller surface wind parameters in step S3 optimized in Implementation Method 2 and step S3 optimized in Implementation Methods 3 to 6 respectively, including the wind shear index. Wind direction change rate Wheel hub height and wind speed and wheel hub height and wind direction .
[0148] Existing nacelle-mounted wind-measuring lidar is installed on top of the wind turbine nacelle, and its measurement process is inevitably affected by the periodic obstruction from the blades. With the increasing size of wind turbines, the blade root diameter is growing larger, leading to more severe obstruction of the lidar beam. Without considering weather conditions, the data effectiveness of each beam from nacelle-mounted wind-measuring lidar is only 60%–80%.
[0149] The wind-measuring lidar installed on the hub provided in this embodiment is not affected by blade obstruction, and its effectiveness is always 100%, which is 20% to 40% higher, making it more conducive to meeting the data integrity requirements of the wind turbine main control.
[0150] Adopting such Figure 9 The simulation parameters shown, combined with Figure 10 The measured wind field data shown are used to simulate both this implementation method and the nacelle radar. The simulation results are, for example, Figure 11 and Figure 12 As shown, compared to the wind speed reconstructed by the nacelle radar, the wind speed reconstructed in this embodiment is closer to the measured wind speed. Compared to the measured wind speed of 5.63 m / s at wheel hub height, the calculated wind speed at wheel hub height in this embodiment is 5.91 m / s, which is closer to the actual wind speed at wheel hub height, representing an improvement of 0.12 m / s. Since the wind direction in this data set follows a basically definite linear pattern, the accuracy of the two methods is essentially the same. From... Figure 11 As can be seen, α=0.284 is more consistent with the overall trend of the actual wind profile, while the nacelle radar simulation results deviate from the real wind profile in areas without measurement points.
Claims
1. A method for measuring wind parameters on the impeller surface of a wind turbine, characterized in that, In the measurement method, the switching cycle is used. As a unit of measurement, each unit of measurement yields a measurement result in each switching cycle. The measurement method includes the following steps: Step S1: Send the launch command, and then collect in real time the aerosol backlight signal, hub rotation angular velocity and attitude angle fed back by the wind measurement lidar located inside the hub shroud of the wind turbine impeller, to obtain the real-time radial wind speed and beam spatial pointing vector. Step S2: Cache the obtained radial wind speed and beam spatial pointing vector until the maximum number of cached times is reached. Obtain the buffered radial wind speed group and beam spatial pointing vector group ; Step S3: Based on the radial wind speed group and the beam spatial pointing vector group, obtain the wind parameters of the wind turbine impeller surface; the wind parameters of the wind turbine impeller surface include the wind shear index. Wind direction change rate Wheel hub height and wind speed and wheel hub height and wind direction ; The step S3 of obtaining the wind turbine impeller surface parameters includes the following steps: Step S30: Initialize the wind parameters of the fan impeller surface; Step S31, through Obtain the height group of the beam , where n represents the sequence number of the height group. The height of the wheel hub. The set of spatial pointing vectors for the beam of Directional components, For radar to measure cross-sectional distance, For beam and Angle between axes; Step S32, through Obtain the wind speed group at the height of the beam ; Step S33, through Obtain the wind direction group at the height of the beam. ; Step S34, through Obtain radial wind speed estimation group ; Step S35, through Obtaining error ,in, This refers to the number of updates; like If the wind parameters of the impeller are updated, the process returns to step S32; otherwise, the wind parameters of the impeller are obtained. This represents the minimum error change between two consecutive iterations.
2. The method for measuring wind parameters of a wind turbine impeller according to claim 1, characterized in that, The wind shear index in the wind parameters of the wind turbine impeller surface mentioned in step S35 pass Update, in which, Wind shear index The learning factor has a value range of (0-1); Wind shear index The partial derivatives of .
3. The method for measuring wind parameters of a wind turbine impeller according to claim 1, characterized in that, The rate of change of wind direction in the wind parameters of the wind turbine impeller surface mentioned in step S35 pass Update, in which, Wind direction change rate The learning factor has a value range of (0-1); Wind direction change rate The partial derivatives of .
4. A wind turbine impeller surface wind parameter measurement system, characterized in that, The wind turbine impeller surface wind parameter measurement system includes a balance detector, a main control unit, a laser, an auxiliary control unit, and an attitude perception and control unit; The attitude perception and control unit is used to transmit control commands to the laser when a transmission command is received; it is also used to acquire the hub rotation angular velocity and attitude angle in real time; it is also used to acquire a beam spatial pointing vector group based on the hub rotation angular velocity and attitude angle; and it is also used to send the beam spatial pointing vector to the main control unit. The laser is used to generate a raw laser beam based on the transmission command control command, and to split the raw laser beam into a radar beam and a local oscillator beam. The radar beam is switched at a fixed frequency, and the switching direction is consistent with the rotation direction of the wind turbine impeller. It is also used to send the local oscillator beam to the balance detector. The balanced detector is used to receive the signal light and the local oscillator light, and obtain the aerosol return light signal after photoelectric conversion; it is also used to send the aerosol return light signal to the main control unit. The main control unit is used to obtain the radial wind speed based on the aerosol backlight signal; It is also used for each switching cycle. The attitude sensing and control unit, which sends the launch command, is also used to cache the radial wind speed and beam spatial pointing vector to obtain the radial wind speed group. and beam spatial pointing vector group It is also used based on the radial wind speed group. and beam spatial pointing vector group The wind parameters of the impeller surface are obtained by measuring the wind parameters of the impeller surface. The wind turbine impeller surface wind parameter measurement method is the wind turbine impeller surface wind parameter measurement method according to any one of claims 1 to 3.