Amin Ziaei and Hamed KharratI and Mina Salim and Ali Farzamnia (2021) Offline neural network based fault tolerant control for vertical tail damaged aircraft.
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Abstract
This paper investigates the offline neural network based-fault tolerant control for an aircraft that suffers vertical-tail damage. First, the damaged model of the aircraft is obtained, and the external disturbance is estimated by a disturbance observer then, an optimal control scheme is proposed to control the aircraft in nominal condition. This optimal control scheme is developed into faulty condition by the offline neural networks. The simulation results show the effectiveness of the proposed method in comparison to the existing methods in the literature. Key Words—fault tolerant control, vertical tail damage, neural networks, linear quadratic regulator, offline learning.
| Item Type: | Proceedings |
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| Keyword: | Fault tolerant control , Vertical tail damage , Neural networks , Linear quadratic regulator , Offline learning |
| Subjects: | Q Science > QA Mathematics > QA1-939 Mathematics > QA1-43 General T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1-4050 Motor vehicles. Aeronautics. Astronautics > TL500-777 Aeronautics. Aeronautical engineering |
| Department: | FACULTY > Faculty of Engineering |
| Depositing User: | DG MASNIAH AHMAD - |
| Date Deposited: | 24 Nov 2021 17:12 |
| Last Modified: | 24 Nov 2021 17:12 |
| URI: | https://eprints.ums.edu.my/id/eprint/31223 |
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