Real-time onboard wind and windshear determination, part 1: Identification View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1995-01

AUTHORS

A. Miele, T. Wang, W. W. Melvin

ABSTRACT

Standard wind identification techniques employed in the analysis of aircraft accidents are post-facto techniques; they are processed after the event has taken place and are based on the complete time histories of the DFDR/ATCR data along the entire trajectory. By contrast, real-time wind identification techniques are processed while the event is taking place; they are based solely on the knowledge of the preceding time histories of the DFDR/ATCR data.In this paper, a real-time wind identification technique is developed. First, a 3D-kinematic approach is employed in connection with the DFDR/ATCR data covering the time interval τ preceding the present time instant. The aircraft position, inertial velocity, and accelerometer bias are determined by matching the flight trajectory computed from the DFDR data with the flight trajectory available from the ATCR data. This leads to a least-square problem, which is solved analytically every β seconds, with β/τ small.With the inertial velocity and accelerometer bias known, an extrapolation process takes place so as to predict the inertial velocity profile over the subsequent β-subinterval. At the end of this subinterval, the extrapolated inertial velocity and the newly identified inertial velocity are statistically reconciled and smoothed. Then, the process of identification, extrapolation, reconciliation, and smoothing is repeated. Subsequently, the wind is computed as the difference between the inertial velocity and the airspeed, which is available from the DFDR data. With the wind identified, windshear detection can take place (Ref. 1).As an example, the real-time wind identification technique is applied to Flight Delta 191, which crashed at Dallas-Fort Worth International Airport on August 2, 1985. The numerical results show that the wind obtained via real-time identification is qualitatively and quantitatively close to the wind obtained via standard identification. This being the case, it is felt that real-time wind identification can be useful in windhsear detection and guidance, above all if the shear/downdraft factor signal is replaced by the wind difference signal (Ref. 1). More... »

PAGES

5-37

References to SciGraph publications

  • 1993-01. Wind identification along a flight trajectory, part 2: 2D-kinematic approach in JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
  • 1993-04. Wind identification along a flight trajectory, part 3: 2D-dynamic approach in JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
  • 1995-01. Real-time onboard wind and windshear determination, part 2: Detection in JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
  • 1981. Applied Probability in NONE
  • 1992-10. Wind identification along a flight trajectory, part 1: 3D-kinematic approach in JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
  • 1978. A Practical Guide to Splines in NONE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/bf02191733

    DOI

    http://dx.doi.org/10.1007/bf02191733

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1005914949


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