Flight Path Reconstruction and Wind Estimation Using Flight Test Data from Crash Data Recorder (CDR) CSIR-NAL

Format:

Conference/Event

Author/Creator:

Nusrath, Nusrath, author.

Contributor:

Sarmah, Ankur

Singh, Jatinder

Conference Name:

SAE 2014 Aerospace Systems and Technology Conference (2014-09-23 : Cincinnati, Ohio, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2014

Summary:

This paper presents the implementation of flight path reconstruction (FPR) and wind estimation techniques applied to a high performance fighter aircraft. The analysis is carried out for the flight test data gathered and stored in a Crash Data Recorder (CDR). The data signals obtained from CDR are generally highly noisy, with frequent data drop outs and also with low sampling rate. The estimation technique applied for data reconstruction is the extended Kalman filtering (EKF). The reconstructed trajectories can be compared with the actual flight trajectories such that, in case of unavailability of data from other sources (e.g., digital flight control computer), the algorithm should be able to reconstruct the trajectories with the minimum set of data available from the CDR. Wind estimation along with the trajectory reconstruction can give better accuracy in airspeed as well as flow angles. The algorithm also aims at determining the bias/systematic instrument errors and generating accurate aircraft state trajectories. A standalone application is developed to reconstruct the flight trajectories for the full flight data. The algorithm is implemented using MATLAB®

Notes:

Vendor supplied data

Publisher Number:

2014-01-2168

Access Restriction:

Restricted for use by site license