Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/4170
Title: Parameter Estimation Techniques for Helicopter Dynamic Modelling.
Authors: Li, Ping
Postlethwaite, Ian
Turner, Matthew C.
First Published: Jul-2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE).
Citation: American Control Conference - Proceedings of, 2007, pp. 2938 - 2943.
Abstract: This paper investigates the problem of estimating parameters in a state-space helicopter dynamical model for helicopter controller design and evaluation. Two methods, PEM (the prediction error method) and RBPF (the Rao-Blackwellized particle filter-based method), are presented in the paper. Computer simulations are carried out to assess and compare the performance of the two methods with different assumptions on the initial conditions of the parameters to be estimated. Based on this assessment, an estimation scheme that combines the two methods is proposed. The proposed scheme is then applied to real data from EH101 helicopter flight tests and a vertical model including rotor coning dynamics is identified.
DOI Link: 10.1109/ACC.2007.4282197
ISBN: 9781424409884
Links: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4282197
http://hdl.handle.net/2381/4170
Type: Conference paper
Rights: This is the author's final draft of the paper published as American Control Conference - Proceedings of, 2007, pp. 2938 - 2943. Copyright © 2007 IEEE. The final version is available from http://ieeexplore.ieee.org/. Doi: 10.1109/ACC.2007.4282197. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Leicester’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Appears in Collections:Published Articles, Dept. of Engineering

Files in This Item:
File Description SizeFormat 
ACC07r1.pdf122.98 kBAdobe PDFView/Open


Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.