A fan yaw self-adaptive correction device based on multi-source data fusion

By combining lidar and ultrasonic wind vanes with data fusion algorithms, along with spring damping devices and yaw drive motors, the response delay and error problems of traditional wind turbine yaw systems under complex wind conditions have been solved, achieving high-precision and stable wind direction measurement and improved power generation efficiency.

CN224515300UActive Publication Date: 2026-07-17李国宁
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
李国宁
Filing Date
2025-06-30
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional wind turbine yaw systems suffer from response delays and limited accuracy under complex wind conditions, and lack effective error compensation mechanisms, which affect power generation efficiency and system stability.

Method used

By employing a dual-mode monitoring module combining lidar and ultrasonic wind vane with a data fusion algorithm, and driving a pinion gear to rotate via a spring damping device and a yaw drive motor, the yaw angle can be dynamically adjusted, eliminating errors from a single sensor and suppressing yaw errors in real time.

Benefits of technology

It improves the accuracy and real-time performance of wind direction measurement, enhances the precision and stability of the yaw system, reduces the deviation between the wind turbine impeller and the wind direction, and improves power generation efficiency.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN224515300U_ABST
    Figure CN224515300U_ABST
Patent Text Reader

Abstract

The utility model discloses a fan drift adaptive correction device based on multi -source data fusion relates to wind power generation technical field. Include: installation base column, cabin, the movable sleeve is located at the outer wall top of installation base column, monitoring mechanism, locate on the cabin, it is used for real -time monitoring wind speed, wind direction data, correction mechanism, locate on the installation base column, it is used for according to the dynamic adjustment cabin drift angle of monitoring data. The fan drift adaptive correction device based on multi -source data fusion, through laser radar and ultrasonic wind vane double -mode monitoring module, combines data fusion algorithm, the data of two kinds of sensors are comprehensively handled, effectively eliminates single sensor error, improves the accuracy and real -time of wind direction measurement, even in complex wind condition also can provide reliable wind direction data for drift control, through spring damping device provides the restoring force through spring, damper dissipates energy, both collaborative work, can real -time inhibit drift error.
Need to check novelty before this filing date? Find Prior Art

Claims

1. A wind turbine yaw adaptive correction device based on multi-source data fusion, characterized in that, include: Install the base column (1); The cabin (2) is movably fitted onto the top of the outer wall of the mounting base column (1); The monitoring unit (3) is located on the cabin (2) and is used to monitor wind speed and wind direction data in real time. The correction mechanism (4) is mounted on the mounting base (1) and is used to dynamically adjust the yaw angle of the cabin (2) based on monitoring data. The correction mechanism (4) includes a yaw shaft (401), a correction component and a spring damping device (402). The yaw shaft (401) is fixedly installed on the top of the outer wall of the mounting base column (1). The correction component is located inside the cabin (2). The spring damping device (402) is installed between the yaw shaft (401) and the cabin (2) via a spherical hinge.

2. The wind turbine yaw self-adaptive correction device based on multi-source data fusion according to claim 1, characterized in that: The monitoring mechanism (3) includes a lidar (301) and an ultrasonic wind vane (302). The lidar (301) is fixedly installed on the top of the outer wall of the cabin (2), and the ultrasonic wind vane (302) is fixedly installed on the top of the outer wall of the cabin (2).

3. The wind turbine yaw self-adaptive correction device based on multi-source data fusion according to claim 2, characterized in that: The correction component includes a yaw encoder (403) and a rotating assembly. The yaw encoder (403) is installed on the bottom of the inner wall of the cabin (2), and the rotating assembly is located on the yaw shaft (401).

4. The wind turbine yaw self-adaptive correction device based on multi-source data fusion according to claim 3, characterized in that: The rotating assembly includes a yaw gear (404), multiple yaw drive motors (405) and multiple pinions (406). The yaw gear (404) is fixedly sleeved on the outer wall of the yaw shaft (401). Each yaw drive motor (405) is bolted to the bottom of the inner wall of the cabin (2). Each pinion (406) is fixedly sleeved on the output end of the yaw drive motor (405), and each pinion (406) meshes with the yaw gear (404).

5. The wind turbine yaw self-adaptive correction device based on multi-source data fusion according to claim 4, characterized in that: A braking device (5) is provided between the yaw shaft (401) and the cabin (2).