Evaluation of Recursive Methods for Aircraft Parameter Estimation

Basappa, K (2004) Evaluation of Recursive Methods for Aircraft Parameter Estimation. In: AIAA Atmospheric Flight Mechanics Conference and Exhibit, 16-19 August 2004,, Providence, Rhode Island.

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    Abstract

    Recursive parameter estimation consists of extracting aerodynamic stability and control13; derivatives using the flight measured input/output data in a real-time mode. It is useful in13; applications such as on-board verification of recorded data, iterative experiment design,13; verification of flight control laws, and reconfiguration of control system following damages.13; Three recursive algorithms, namely the Recursive Least Squares (RLS), Extended Kalman13; Filter (EKF) and Discrete Fourier Transform (DFT) are formulated and a comparative13; study has been carried out in the off-line environment using simulated and flight data for13; longitudinal and lateral-directional modes of aircraft motion. The results from the standard13; iterative Output Error Method (OEM) form the basis for evaluating the performance of13; these recursive methods. All the recursive methods discussed in this document gave results13; matching with those from OEM. The overall performance of DFT method was found to be13; better than that of the RLS and EKF methods. Also, DFT is computationally simpler and13; unlike the other two methods, there is no requirement of any tuning parameter. From this13; aspect, the DFT technique seems to be preferable for online identification purposes.

    Item Type: Conference or Workshop Item (Paper)
    Uncontrolled Keywords: aerodynamic stability and control;flight control laws;recursive least;Squares (RLS);Kalman
    Subjects: AERONAUTICS > Aeronautics (General)
    AERONAUTICS > Aircraft Stability and Control
    Division/Department: Flight Mechanics and Control Division
    Depositing User: Mr. N A
    Date Deposited: 25 Jan 2006
    Last Modified: 24 May 2010 09:39
    URI: http://nal-ir.nal.res.in/id/eprint/988

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