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.

[img] PDF
tr_pd_fc_0318_R87762.pdf
Restricted to Repository staff only

Download (2MB)

Abstract

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: Monograph (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
Depositing User: Users 20 not found.
Date Deposited: 03 Jul 2006
Last Modified: 24 May 2010 04:12
URI: http://nal-ir.nal.res.in/id/eprint/1629

Actions (login required)

View Item View Item