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Failure detection and fault management techniques for flush airdata sensing systems

机译:冲洗空气数据传感系统的故障检测和故障管理技术

摘要

A high-angle-of-attack flush airdata sensing system was installed and flight tested on the F-18 High Alpha Research Vehicle at NASA-Dryden. This system uses a matrix of pressure orifices arranged in concentric circles on the nose of the vehicle to determine angles of attack, angles of sideslip, dynamic pressure, and static pressure as well as other airdata parameters. Results presented use an arrangement of 11 symmetrically distributed ports on the aircraft nose. Experience with this sensing system data indicates that the primary concern for real-time implementation is the detection and management of overall system and individual pressure sensor failures. The multiple port sensing system is more tolerant to small disturbances in the measured pressure data than conventional probe-based intrusive airdata systems. However, under adverse circumstances, large undetected failures in individual pressure ports can result in algorithm divergence and catastrophic failure of the entire system. How system and individual port failures may be detected using chi sq. analysis is shown. Once identified, the effects of failures are eliminated using weighted least squares.
机译:在NASA-Dryden的F-18高阿尔法研究飞行器上安装了高攻角冲洗空气数据传感系统,并进行了飞行测试。该系统使用布置在车辆前部的同心圆中的压力孔矩阵来确定迎角,侧滑角,动压力和静压力以及其他空气数据参数。呈现的结果使用了机头上11个对称分布的端口的布置。该传感系统数据的经验表明,实时实施的主要考虑是对整个系统和单个压力传感器故障的检测和管理。与传统的基于探头的侵入式空气数据系统相比,多端口传感系统更能容忍测得的压力数据中的小干扰。但是,在不利的情况下,单个压力端口中未检测到的大故障可能导致算法发散和整个系统的灾难性故障。显示了如何使用卡方分析检测系统和单个端口故障。一旦确定,就可以使用加权最小二乘法消除故障的影响。

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