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
Original language | English |
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Title of host publication | Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 8488-8493 |
ISBN (Print) | 978-1424438716 |
DOIs | |
Publication status | Published - 2009 |
Event | 48th IEEE Conference on Decision and Control - Shanghai, China Duration: 29 Jan 2009 → … |
Conference
Conference | 48th IEEE Conference on Decision and Control |
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Period | 29/01/09 → … |