Evaluation of recursive methods for aircraft parameter estimation

Basappa, - and Jategaonkar, RV (2003) Evaluation of recursive methods for aircraft parameter estimation. Technical Report. National Aerospace Laboratories, Bangalore, India.

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    Three recursive algorithms: the Recursive Least Squares (RLS), Kalman Filter (EKF) and Discrete Fourier Transform (DFT) are formulated. A comparative study has been carried out in the off-line environment using simulated and flight data for longitudinal and lateral-directional modes of aircraft motion. The results from the standard iterative Output Error Method (OEM) form the basis for evaluating the performance of these recursive methods. All the recursive methods discussed in this document gave results matching with those from OEM. The overall performance of DFT method was found to be better than the RLS and EKF methods and and it is computationally simple. The DFT technique seems to be preferable for online identification purposes

    Item Type: Proj.Doc/Technical Report (Technical Report)
    Uncontrolled Keywords: Real-time parameter estimation;Off-line and On-line methods;Recursive least squares;Extended Kalman filter;Discrete fourier transform
    Subjects: AERONAUTICS > Aircraft Design, Testing & Performance
    Division/Department: Flight Mechanics and Control Division, Other
    Depositing User: Mr. N A
    Date Deposited: 03 Jul 2006
    Last Modified: 24 May 2010 09:42
    URI: http://nal-ir.nal.res.in/id/eprint/1629

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