Title
Robust Fault Diagnosis for Quadrotor UAVs Using Adaptive Thau Observer
Abstract
A robust Fault Diagnosis (FD) scheme for a real quadrotor Unmanned Aerial Vehicle (UAV) is proposed in this paper. Firstly, a novel Adaptive Thau observer (ATO) is developed to estimate the quadrotor system states and build a set of offset residuals to indicate actuators' faults. Based on these residuals, some rules of Fault Diagnosis (FD) are designed to detect and isolate the faults as well as estimate the fault offset parameters. Secondly, a synthetic robust optimization scheme is presented to improve Fault Estimation (FE) accuracies, three key issues include modeling uncertainties, and magnitude order unbalances as well as noises are addressed. Finally, a typical fault of rotors is simulated and injected into one of four rotors of the quadrotor, and experiments for the FD scheme have been carried out. Unlike former research works on the FD schemes for quadrotors, our proposed FD scheme based on the ATO can not only detect and isolate the failed actuators, but also estimate the fault severities. Regardless of roughness of the real flying data, the FD results still have sufficient FE accuracies.
Year
DOI
Venue
2014
10.1007/s10846-013-9921-8
Journal of Intelligent and Robotic Systems
Keywords
Field
DocType
adaptive thau observer,fault diagnosis,robust fault diagnosis,quadrotor system state,proposed fd scheme,fault severity,fd scheme,real quadrotor,fault estimation,synthetic robust optimization scheme,fd result
Magnitude (mathematics),Fault detection and isolation,Robust optimization,Control theory,Control engineering,Robustness (computer science),Engineering,Observer (quantum physics),Offset (computer science),Actuator
Journal
Volume
Issue
ISSN
73
1-4
1573-0409
Citations 
PageRank 
References 
14
1.05
11
Authors
4
Name
Order
Citations
PageRank
Zhaohui Cen1202.50
Hassan Noura28313.59
Tri Bagus Susilo3141.73
Younes Al Younes4212.56