民用客机负加速度试飞实时预测及告警技术研究
Study on real-time prediction and warning technology for negative acceleration flight test of civil airplanes
米毅 1李爱军 2温亚军 3范志鹏 3胡雪松4
作者信息
- 1. 西北工业大学 自动化学院,陕西 西安 710129;中国商飞民用飞机试飞中心,上海 201324;上海民机试飞工程技术研究中心,上海 201324
- 2. 西北工业大学 自动化学院,陕西 西安 710129;上海民机试飞工程技术研究中心,上海 201324
- 3. 中国商飞民用飞机试飞中心,上海 201324;上海民机试飞工程技术研究中心,上海 201324
- 4. 西北工业大学 自动化学院,陕西 西安 710129
- 折叠
摘要
现代民用飞机通过一系列严苛的飞行试验来验证飞机设计性能的极限,因此飞行试验任务具有高风险、技术复杂的特点.其中负加速度试飞旨在验证飞机动力装置、辅助动力装置以及与之有关的任何部件或系统在负加速度条件下不会发生危险故障.负加速度试飞的风险等级是高风险.针对民用客机负加速度试飞提出一种实时预测及告警技术:开发针对负加速度试飞场景的融合仿真系统,精度验证结果表明系统可以满足工程应用的需要;通过理论分析给出影响负加速度试飞的主要因素,为仿真计算提供方向;利用BP神经网络算法和极限梯度提升(XGBoost)算法,建立基于补偿因子的负加速度试飞预测模型,并开发负加速度试飞实时预测及告警程序.所提技术应用于某型民机的负加速度试飞中,预测结果表明负加速度试飞实时预测及告警程序的精度可以满足试飞监控的要求.
Abstract
The flight test of modern civil aircraft verifies the limits of aircraft design performance through a series of rigorous flight tests.Flight test mission is characterized by high risk and complex technology.The negative accelera-tion flight test is to verify that the aircraft power unit,auxiliary power unit,or any component or system related to it shall not have dangerous faults during negative acceleration.The risk level of negative acceleration flight test is high-risk.This paper presents a real-time prediction and alarm technology for negative acceleration flight test of civil airliners.Firstly,a fusion simulation system for the flight test scene of negative acceleration was developed.The ac-curacy verification results indicate that the system can meet the requirements of engineering applications.Secondly,the main factors that affect the negative acceleration flight test are given through theoretical analysis,which provides a guidance for simulation.Finally,the negative acceleration prediction model based on compensation factor is estab-lished by using BP neural network algorithm and XGBoost algorithm.And the real-time prediction and alarm pro-gram of negative acceleration flight test is developed,which is used in negative acceleration flight test of a certain civil aircraft.The prediction results indicate that the accuracy of real-time prediction and alarm program can meet the requirements of flight test monitoring.
关键词
负加速度试飞/实时预测及告警/BP神经网络/XGBoost算法Key words
negative acceleration flight test/real-time prediction and warning/BP neural network/XGBoost algo-rithm引用本文复制引用
基金项目
上海市经信委工业强基项目(GYQJ-2017-5-08)
出版年
2024
NETL
NSTL
万方数据