Adaptive neural observer-based backstepping fault tolerant control for near space vehicle under control effector damage

Bin Jiang; Dezhi Xu; Peng Shi; Cheng Chew Lim

Adaptive neural observer-based backstepping fault tolerant control for near space vehicle under control effector damage

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Author(s): Bin Jiang ¹ ; Dezhi Xu ¹ ; Peng Shi ^{2, 3, 4} ; Cheng Chew Lim ⁴
- Affiliations: 1: College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, People's Republic of China ;
  2: Department of Computing and Mathematical Sciences, University of South Wales, CF37 1DL Pontypridd, UK ;
  3: College of Engineering and Science, Victoria University, Melbourne, VIC 8001, Australia ;
  4: School of Electrical and Electronic Engineering, The University of Adelaide, SA 5005, Australia
Source: Volume 8, Issue 9, 12 June 2014, p. 658 – 666
DOI: 10.1049/iet-cta.2013.0404 , Print ISSN 1751-8644, Online ISSN 1751-8652

Received 03/05/2013, Accepted 26/09/2013, Revised 23/09/2013, Published 16/04/2014

In this study, a theoretical framework for reconfigurable flight control is developed and applied to near space vehicle (NSV) attitude dynamics. First, NSV reentry mode is described. Second, an adaptive neural network observer is proposed, which ensures asymptotic convergence of the state observer error to zero under control effector damage and uncertainty. Next, a reconfigurable command-filter backstepping controller is designed based on the adaptive neural network observer. The authors focus is on the accommodation of the control effector damage, uncertainty and resulting disturbances. It is shown that the presented new control design results in asymptotic convergence of the attitude tracking error to zero. Finally, simulation results are given to demonstrate the effectiveness and potential of the proposed fault tolerant control scheme.

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Adaptive neural observer-based backstepping fault tolerant control for near space vehicle under control effector damage

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