Fekri, Sajjad, Gu, Da-Wei and Postlethwaite, Ian (2009) Lateral imbalance detection on a UAV based on multiple models. In: Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference. IEEE, Piscataway, NJ, pp. 8488-8493. ISBN 978-1424438716
Full text not available from this repository. (Request a copy)Abstract
This paper addresses a multiple-model based lateral imbalance detection methodology for an uninhabited air vehicle (UAV). Two critical imbalance failures are considered that are the failure-induced left aileron stuck and the centre-of-gravity shift along the y-axis. A bank of LTI Kalman filters are designed to detect the above lateral failures and a flight control law based on the model predictive control (MPC) theory is designed for the aircraft lateral directional dynamics. It is shown that the proposed multiple-model detection scheme is able to achieve an effective reconfiguration capability to provide the efficient handling qualities at the failure-free flight operating conditions whilst it maintains desirable performance at post-failure conditions. The results of the proposed multiple-model based fault reconfigurable scheme for the UAV flight dynamics are illustrated and validated through simulations
Item Type: | Book Section |
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Subjects: | H600 Electronic and Electrical Engineering |
Department: | Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering |
Depositing User: | Sarah Howells |
Date Deposited: | 16 Oct 2012 13:55 |
Last Modified: | 12 Oct 2019 22:29 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/9704 |
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