Observer-based incremental backstepping sliding-mode fault-tolerant control for blended-wing-body aircrafts

Date published

2021-08-19

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Elsevier

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Article

ISSN

0925-2312

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Citation

Liu SQ, Whidborne JF. (2021) Observer-based incremental backstepping sliding-mode fault-tolerant control for blended-wing-body aircrafts, Neurocomputing, Volume 464, November 2021, pp. 546-561

Abstract

This paper presents an adaptive incremental nonlinear backstepping sliding-mode (INBSM) controller, for fault tolerant tracking control of a blended wing body (BWB) aircraft with unknown disturbances and actuator faults. The INBSM controller is based on a nonlinear dynamics model of the BWB aircraft. In addition, a radial basis function neural network disturbance observer (RBF-NNDO) is proposed to enhance the disturbance attenuation ability. A fault estimator is suggested to improve actuator fault tolerant control level. The closed-loop control system of the BWB aircraft is proved to be globally asymptotically stable using Lyapunov theory. Simulations of the combined NNDO-INBSM controller are presented and compared with both the INBSM design and an adaptive fuzzy controller. The results demonstrate an improved capability of the NNDO-INBSM control for the BWB aircraft to execute realistic attitude tracking missions, even in the presence of center of gravity movement, unknown disturbances, model uncertainties and actuator faults.

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Github

Keywords

Robust control of nonlinear system, neural network disturbance observer, incremental nonlinear backstepping control, incremental nonlinear dynamic inversion, stability augmentation control

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Attribution-NonCommercial-NoDerivatives 4.0 International

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