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| Content Provider | Springer Nature Link |
|---|---|
| Author | Cen, Zhaohui ura, Hassan Susilo, Tri Bagus Younes, Younes Al |
| Copyright Year | 2013 |
| 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. |
| Starting Page | 573 |
| Ending Page | 588 |
| Page Count | 16 |
| File Format | |
| ISSN | 09210296 |
| Journal | Journal of Intelligent & Robotic Systems |
| Volume Number | 73 |
| Issue Number | 1-4 |
| e-ISSN | 15730409 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2013-10-23 |
| Publisher Place | Dordrecht |
| Access Restriction | Subscribed |
| Subject Keyword | Adaptive Thau observer Quadrotor Fault detection Isolation and estimation Robustness Control, Robotics, Mechatronics Electrical Engineering Artificial Intelligence (incl. Robotics) Mechanical Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Artificial Intelligence Control and Systems Engineering Mechanical Engineering Electrical and Electronic Engineering Software |
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