Flight path reconstruction and wind estimation using flight test data from crash data recorder (CDR)

Khadeeja Nusrath, Ankur Sarmah, Jatinder Singh

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

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®.

Original languageEnglish
DOIs
Publication statusPublished - 01-01-2014
Externally publishedYes
EventSAE 2014 Aerospace Systems and Technology Conference, ASTC 2014 - Cincinnati, United States
Duration: 23-09-201425-09-2014

Conference

ConferenceSAE 2014 Aerospace Systems and Technology Conference, ASTC 2014
CountryUnited States
CityCincinnati
Period23-09-1425-09-14

Fingerprint

Flight paths
Trajectories
Instrument errors
Systematic errors
Computer control
MATLAB
Aircraft
Sampling

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Pollution
  • Industrial and Manufacturing Engineering

Cite this

Nusrath, K., Sarmah, A., & Singh, J. (2014). Flight path reconstruction and wind estimation using flight test data from crash data recorder (CDR). Paper presented at SAE 2014 Aerospace Systems and Technology Conference, ASTC 2014, Cincinnati, United States. https://doi.org/10.4271/2014-01-2168
Nusrath, Khadeeja ; Sarmah, Ankur ; Singh, Jatinder. / Flight path reconstruction and wind estimation using flight test data from crash data recorder (CDR). Paper presented at SAE 2014 Aerospace Systems and Technology Conference, ASTC 2014, Cincinnati, United States.
@conference{9fe71f3848254ab69cc1aa3f21cad51b,
title = "Flight path reconstruction and wind estimation using flight test data from crash data recorder (CDR)",
abstract = "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{\circledR}.",
author = "Khadeeja Nusrath and Ankur Sarmah and Jatinder Singh",
year = "2014",
month = "1",
day = "1",
doi = "10.4271/2014-01-2168",
language = "English",
note = "SAE 2014 Aerospace Systems and Technology Conference, ASTC 2014 ; Conference date: 23-09-2014 Through 25-09-2014",

}

Nusrath, K, Sarmah, A & Singh, J 2014, 'Flight path reconstruction and wind estimation using flight test data from crash data recorder (CDR)' Paper presented at SAE 2014 Aerospace Systems and Technology Conference, ASTC 2014, Cincinnati, United States, 23-09-14 - 25-09-14, . https://doi.org/10.4271/2014-01-2168

Flight path reconstruction and wind estimation using flight test data from crash data recorder (CDR). / Nusrath, Khadeeja; Sarmah, Ankur; Singh, Jatinder.

2014. Paper presented at SAE 2014 Aerospace Systems and Technology Conference, ASTC 2014, Cincinnati, United States.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Flight path reconstruction and wind estimation using flight test data from crash data recorder (CDR)

AU - Nusrath, Khadeeja

AU - Sarmah, Ankur

AU - Singh, Jatinder

PY - 2014/1/1

Y1 - 2014/1/1

N2 - 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®.

AB - 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®.

UR - http://www.scopus.com/inward/record.url?scp=84937799913&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84937799913&partnerID=8YFLogxK

U2 - 10.4271/2014-01-2168

DO - 10.4271/2014-01-2168

M3 - Paper

ER -

Nusrath K, Sarmah A, Singh J. Flight path reconstruction and wind estimation using flight test data from crash data recorder (CDR). 2014. Paper presented at SAE 2014 Aerospace Systems and Technology Conference, ASTC 2014, Cincinnati, United States. https://doi.org/10.4271/2014-01-2168