Name
Title | ||
|---|---|---|
Evaluation of a Fault-Tolerant Scheme in a Six-Degree-of-Freedom Motion Flight Simulator. |
Abstract | ||
|---|---|---|
This paper discusses the evaluation of a neurally augmented fault-tolerant flight control scheme for a high-performance military aircraft featuring an adaptive actuator and sensor failure detection, isolation, and identification algorithm in a motion-based flight simulator. The design of the fault-tolerant control scheme is based on a nonlinear dynamic inversion scheme with a neural network-based augmentation for reducing the dynamic inversion errors associated with the occurrence of an actuator failure while a set of online learning neural observers is used for dealing with specific sensor failures. The failure detection, isolation, and identification scheme is based on an adaptive threshold technique for estimating failure bounds associated with both actuator and sensor failures. Also, an 'ad- hoc' parameter is proposed here for the novel task of evaluating the pilot workload in compensating for both actuator and sensor failures onboard the aircraft. A general outcome of the effort is a demonstration of the importance of realistic motion-based simulation environments for evaluation of this specific class of flight control laws. The study also demonstrated the importance of the neural augmentation for failure accommodation purposes and the effectiveness of the proposed adaptive threshold technique for failure identification purposes. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.2514/1.42299 | JOURNAL OF AEROSPACE COMPUTING INFORMATION AND COMMUNICATION |
Field | DocType | Volume |
Degrees of freedom (statistics),Identification scheme,Nonlinear system,Inversion (meteorology),Workload,Simulation,Control theory,Control engineering,Flight simulator,Fault tolerance,Engineering,Actuator | Journal | 7 |
Issue | ISSN | Citations |
2 | 1940-3151 | 0 |
PageRank | References | Authors |
0.34 | 5 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Girish K. Sagoo | 1 | 0 | 0.34 |
| Srikanth Gururajan | 2 | 45 | 7.09 |
| Brad Seanor | 3 | 0 | 0.68 |
| Marcello R. Napolitano | 4 | 56 | 12.38 |
| Mario G. Perhinschi | 5 | 40 | 8.06 |
| Yu Gu 0008 | 6 | 27 | 8.77 |
| G. Campa | 7 | 102 | 12.38 |