首页> 外文会议>AIAA Guidance, Navigation, and Control Conference and Exhibit >Robust and early detection of Oscillatory Failure Case fornew generation Airbus aircraft
【24h】

Robust and early detection of Oscillatory Failure Case fornew generation Airbus aircraft

机译:振动故障案件的稳健和早期检测,必须使用空中客车飞机

获取原文

摘要

This paper addresses the problem of Oscillatory Failure Case (OFC) detection in the Electrical Flight Control System (EFCS) of the Airbus airplanes. The work describes the status of on going research activity undertaken within a collaborative project between Bordeaux University (France) and Airbus. A hydraulic actuator model is presented, which is currently used as the basis for a robust analytical redundancy-based technique implemented in А380 Flight Control Computer (FCC) for detecting unauthorized oscillatory events. The technique has been successfully validated and provides a complete OFC coverage without false alarms in the А380 EFCS. In the context of aircraft overall optimization, for upcoming and future programs, it could be required to improve the detection performance, which means to be able to detect OFC with lower amplitudes. To meet this requirement, it becomes necessary to model more efficiently the dynamical behavior of actuators to get more sensitive fault indicating signals. It is shown that the model quality can be significantly improved by reliable estimating of some physical parameters. The fault indicating signals are compared to those obtained from А380 computers during flight tests. The results are quite encouraging and suggest that OFC with less important amplitude could be successfully detected by the new strategy.
机译:本文解决了空中客车飞行器电气飞行控制系统(EFC)中的振荡故障案例(OFC)检测的问题。该工作描述了波尔多大学(法国)和空中客车之间的协作项目中进行的参加研究活动的地位。提出了一种液压致动器模型,目前用作А380飞行控制计算机(FCC)中实现的稳健分析冗余技术的基础,用于检测未经授权的振荡事件。该技术已成功验证,并提供完整的OFC覆盖,而在А380EFC中没有误报。在飞机整体优化的背景下,对于即将到来的和未来的程序,可能需要改善检测性能,这意味着能够以较低幅度检测到备份。为了满足此要求,需要更有效地模拟执行器的动态行为,以获得更敏感的故障指示信号。结果表明,通过可靠地估计一些物理参数,可以显着提高模型质量。将故障指示信号与飞行测试期间从А380计算机获得的那些进行比较。结果非常令人鼓舞,并表明,可以通过新策略成功地检测到不太重要的振幅的OFC。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号