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Asymmetric integral BLF based state‐constrained flight control using NN and DOB

Asymmetric integral BLF based state‐constrained flight control using NN and DOB This article proposes an adaptive back‐stepping flight controller under angle of attack (AOA) constraints. Taking the hypersonic flight vehicle (HFV) for example, considering the AOA constraints caused by the scramjet intake requirements, the asymmetric integral barrier Lyapunov function is used to design the controller, while the AOA is directly limited to a predefined interval without setting the tracking error and virtual control constraints separately. Furthermore, the neural networks and disturbance observer are applied in the controller to deal with the model uncertainty and external disturbance. The system stability and the AOA constraints are proved via Lyapunov analysis. Simulation tests on HFV longitudinal dynamics present that the proposed controller can prevent the AOA from exceeding the given bounds while altitude and velocity tracking. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Robust and Nonlinear Control Wiley

Asymmetric integral BLF based state‐constrained flight control using NN and DOB

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References (46)

Publisher
Wiley
Copyright
© 2022 John Wiley & Sons, Ltd.
ISSN
1049-8923
eISSN
1099-1239
DOI
10.1002/rnc.5991
Publisher site
See Article on Publisher Site

Abstract

This article proposes an adaptive back‐stepping flight controller under angle of attack (AOA) constraints. Taking the hypersonic flight vehicle (HFV) for example, considering the AOA constraints caused by the scramjet intake requirements, the asymmetric integral barrier Lyapunov function is used to design the controller, while the AOA is directly limited to a predefined interval without setting the tracking error and virtual control constraints separately. Furthermore, the neural networks and disturbance observer are applied in the controller to deal with the model uncertainty and external disturbance. The system stability and the AOA constraints are proved via Lyapunov analysis. Simulation tests on HFV longitudinal dynamics present that the proposed controller can prevent the AOA from exceeding the given bounds while altitude and velocity tracking.

Journal

International Journal of Robust and Nonlinear ControlWiley

Published: Mar 25, 2022

Keywords: angle of attack constraint; asymmetric integral barrier Lyapunov function; disturbance observer; hypersonic flight vehicle; neural networks

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