A real-time correction method for virtual axis transmission of complex space of a wind tunnel

By combining a distributed fiber optic strain sensing network and a high-frequency response pressure sensor array with a manifold-constrained Lie group Kalman filter framework, the virtual axis of the wind tunnel test model is corrected in real time, solving the problem of decreased accuracy of virtual axis transmission under high angle-of-attack maneuvering conditions, and achieving high-precision and stable attitude correction.

CN122306361APending Publication Date: 2026-06-30CHINA CONSTR EIGHT ENG DIV CORP LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA CONSTR EIGHT ENG DIV CORP LTD
Filing Date
2026-02-04
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

The virtual axis transmission accuracy of the wind tunnel test model decreases under high angle of attack maneuvering conditions, leading to attitude correction failure. Existing technologies suffer from problems such as fuzzy definition of the virtual axis and oscillation of correction control quantities.

Method used

A distributed fiber optic strain sensor network is used to monitor the strain field of the model in real time. The three-dimensional deformation field is calculated by inversion of the finite element mechanical model, and the virtual axis reference point is redefined. A high-frequency response pressure sensor array is arranged at key aerodynamic feature locations to perform dynamic mode decomposition to extract the dominant spatiotemporal mode structure and construct a reduced-order dynamic model of flow field evolution. Based on the manifold-constrained Lie group Kalman filter framework, the gyroscope and visual attitude observations are fused to perform attitude state estimation. Attitude correction is performed by calculating the Lie algebra space error and driving the model support mechanism through exponential mapping.

Benefits of technology

It achieves high-precision real-time transmission of virtual axes under high angle-of-attack maneuvers, avoids the Euler angle singularity problem, preserves transient flow field information, considers the influence of model elastic deformation, and improves the accuracy and stability of attitude correction.

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Abstract

This invention provides a real-time correction method for virtual axis transmission in complex wind tunnel spaces, belonging to the field of wind tunnel technology. This invention constructs a reduced-order dynamic model through dynamic mode decomposition to predict the future shock wave position and separation point position. It employs a manifold-constrained Lie group Kalman filter framework to perform attitude estimation in a special orthogonal group manifold space and outputs a quaternion-based attitude description. Based on the predicted flow field feature point positions and model deformation field distribution, the virtual axis direction vector is calculated. Attitude error is calculated in Lie algebra space and converted into a corrected rotation matrix via exponential mapping to drive the attitude correction action. The corrected parameters are stored in a historical database for online updating of the reduced-order model system matrix. This solves the technical problem of decreased virtual axis transmission accuracy leading to attitude correction failure under high angle-of-attack maneuvering conditions in wind tunnel test models.
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