Lateral imbalance detection on a UAV based on multiple models

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

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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
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

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