Inertial Angle of Attack estimation for a small transport aircraft

Shikha Jain, C. Kamali, G. K. Singh
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引用次数: 2

Abstract

In this work, warning flights of a small commuter aircraft are analyzed. One of the reasons for warning to occur in Stall Warning System (SWS) is due to difference in Alpha/ Angle of Attack (AOA) values computed using two methods exceeds ± 5°. In the first method, vane sensors are used to acquire local alpha and get freestream AOA using airdata calibration tables. Whereas, inertial alpha is computed using inertial sensor measurements from Attitude and Heading Reference Unit (AHRS) and Air Data Computer Unit (ADCU). The flights that are investigated in this work are those where, the alerts happened because of this reason. Cause for the discrepancy is clearly presented. Solution to the problem has been proposed using recursive filtering technique. An Extended Kalman Filter (EKF) based flight path reconstruction technique (FPR) is used to estimate true AOA and inertial AOA. Flight data is analyzed offline and results are presented for the same
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小型运输机的惯性攻角估计
本文对某小型通勤飞机的预警飞行进行了分析。失速预警系统(SWS)发生预警的原因之一是由于两种方法计算的α /攻角(AOA)值的差异超过±5°。在第一种方法中,使用叶片传感器获取局部alpha,并使用空气数据校准表获得自由流AOA。然而,惯性alpha是通过姿态和航向参考单元(AHRS)和空气数据计算机单元(ADCU)的惯性传感器测量来计算的。在这项工作中调查的航班是那些警报发生的地方,因为这个原因。差异的原因已清楚地提出。利用递归滤波技术解决了这一问题。基于扩展卡尔曼滤波(EKF)的航迹重建技术(FPR)用于估计真空域面积和惯性空域面积。对飞行数据进行离线分析,并给出相同的结果
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