This paper addresses the problem of fault detection and isolation for helicopters used as Unmanned Aerial Vehicles. First a model for a reduced-scale helicopter is presented, then this model is linearized and used to design unknown input observers for fault diagnosis. The developed system is tested and analyzed. The results prove that it represents an effective solution to fault diagnosis problems in Unmanned Aerial Vehicles.
A Model-Based Fault Diagnosis System for Unmanned Aerial Vehicles / Freddi, Alessandro; Longhi, Sauro; Monteriu', Andrea. - STAMPA. - (2009), pp. 71-76. (Intervento presentato al convegno 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS) tenutosi a Barcelona, Spain nel June 30 - July 3, 2009) [10.3182/20090630-4-ES-2003.00012].
A Model-Based Fault Diagnosis System for Unmanned Aerial Vehicles
FREDDI, ALESSANDRO;LONGHI, SAURO;MONTERIU', Andrea
2009-01-01
Abstract
This paper addresses the problem of fault detection and isolation for helicopters used as Unmanned Aerial Vehicles. First a model for a reduced-scale helicopter is presented, then this model is linearized and used to design unknown input observers for fault diagnosis. The developed system is tested and analyzed. The results prove that it represents an effective solution to fault diagnosis problems in Unmanned Aerial Vehicles.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
