Real-time hybrid test method and system for ai-augmented floating wind turbine aerodynamic loads

By using an AI-enhanced real-time hybrid testing method, and combining the dynamic equations of a floating foundation with a six-degree-of-freedom motion platform and wind tunnel experiments, the scaling effect and sensor noise problems in the aerodynamic load measurement of floating wind turbines were solved, achieving high-precision fully coupled verification and improving data reliability and test accuracy.

CN120739656BActive Publication Date: 2026-06-05ZHEJIANG UNIV
1 Cites 0 Cited by

Patent Information

Application Number
CN202510867212.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-06-26
Publication Date
2026-06-05
Estimated Expiration
2045-06-26

AI Technical Summary

Technical Problem

In existing technologies, the aerodynamic load measurement of floating wind turbines suffers from scaling effects that lead to simulation distortion, and sensor noise and hardware delays cause decoupling errors, which cannot meet the requirements for high precision. Furthermore, traditional hybrid testing methods fail to achieve real-time feedback and dynamic correction.

Method used

A real-time hybrid testing method based on AI enhancement is adopted. The motion of the floating body is simulated by real-time floating foundation dynamic equations. Combined with a six-degree-of-freedom motion platform and wind tunnel experiments, AI correction technology is used to correct the load signal and attitude, and a two-way real-time feedback channel is established to achieve high-precision measurement of aerodynamic loads.

Benefits of technology

It achieves high-precision verification of the fully coupled aerodynamic-servo-hydraulic-mooring system of floating wind turbines under different operating conditions, reduces the RMSE of aerodynamic load decoupling, and improves data reliability and test fidelity.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The application discloses a kind of based on AI enhancement's floating fan aerodynamic load real-time hybrid test method and system, comprising: based on real-time floating foundation dynamics equation, six-degree-of-freedom motion information of floating foundation is calculated using numerical calculation model;Scale fan model is carried on six-degree-of-freedom motion platform, is placed in wind tunnel atmospheric boundary layer, six-degree-of-freedom motion platform is controlled based on six-degree-of-freedom motion information of floating foundation, drive scale fan model motion, generate aerodynamic load in simulated wind environment, measure original load signal and carry out correction, six-degree-of-freedom platform actual pose is recorded simultaneously;AI correction is carried out to the corrected load signal and six-degree-of-freedom platform actual pose, obtain net aerodynamic load, feedback net aerodynamic load to numerical calculation model, closed loop updates are realized to achieve coupling cycle.The application solves the numerical and physical boundary interaction problem, and can significantly improve the test precision of large floating fan under complex environmental load.
Need to check novelty before this filing date? Find Prior Art