飞机缝翼疲劳试验随动角度误差的分析优化方法

By constructing a kinematic model and analyzing experimental data to optimize the angle error in aircraft slat fatigue tests, the problem of long time consumption and large workload in angle error optimization in existing technologies has been solved, and efficient and accurate follow-up loading control has been achieved.

CN121516262BActive Publication Date: 2026-07-17CHINA AIRPLANT STRENGTH RES INST

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA AIRPLANT STRENGTH RES INST
Filing Date
2025-10-30
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing aircraft slat fatigue tests, the optimization of the angle error of the follow-up loading system is time-consuming, labor-intensive, and lacks specificity, resulting in low efficiency.

Method used

By acquiring data from the drive system, the servo frame displacement system, the frame tilt sensor, and the slat surface tilt sensor, a kinematic model is constructed to optimize the angle error of the servo loading system. The angle error is used as a criterion for real-time tracking and optimization. Combined with experimental data analysis methods, the synchronization and initial state of the servo system are optimized.

Benefits of technology

This improved the accuracy and efficiency of the servo loading system, reduced testing costs and time, and achieved higher-precision angle error optimization to meet testing requirements.

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Abstract

本发明的飞机缝翼疲劳试验随动角度误差的分析优化方法,其包括采用所述驱动角度与框架倾角之间的角度误差进行缝翼疲劳试验,通过所述运动学模型调整缝翼疲劳试验的参数,进行初次缝翼疲劳试验,并获取飞机缝翼疲劳试验中的多个飞行谱,从多个所述飞行谱选取出现频次最多的飞行谱作为待分析飞行谱,根据所述加载控制数据对所有飞机缝翼的卡位进行变换,得到随动角度的误差变换值,对所述随动角度的误差变换值进行优化,直至满足试验的参数要求,该方法能够提高试验的效率。
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