Technical Papers
Jan 8, 2018

Robust Adaptive Backstepping Controller Design for Aircraft Autonomous Short Landing in the Presence of Uncertain Aerodynamics

Publication: Journal of Aerospace Engineering
Volume 31, Issue 2

Abstract

To achieve tracking performance and robustness simultaneously during an aircraft’s autonomous short landing phase, a three-dimensional automatic landing system designed using robust adaptive backstepping control is investigated to direct aircraft glide-slope and flare maneuvers. To avoid the difficulty of analytically calculating the virtual command derivatives, a series of virtual command filters are introduced. By confining the input of the command filter, the flight states are subject to the landing constraints. To guarantee tracking performance in the presence of input and state constraints, antiwindup compensators are constructed by the saturation errors. To approximate the compound uncertainty brought by the ground effect and aerodynamic uncertainties, nonlinear disturbance observers are employed to estimate the uncertainties within a finite time. Synthesized with backstepping and adaptive proportional-integral-derivative control, the automatic landing control law is designed. Stability analysis shows that the closed-loop system achieves ultimately asymptotically bounded stability under weak uncertainties. Numerical simulations of autonomous landing demonstrate that the proposed control law can achieve both landing trajectory capturing performance and robustness against uncertain aerodynamics.

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Acknowledgments

This work was supported by the National Science Foundation of China (Grant Nos. 61134004, 61374196, and 61473046) and the Fundamental Research Funds for the Central Universities (Grant No. 310822171004).

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 31Issue 2March 2018

History

Received: Mar 19, 2015
Accepted: Sep 7, 2017
Published online: Jan 8, 2018
Published in print: Mar 1, 2018
Discussion open until: Jun 8, 2018

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Authors

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Lecturer, School of Automobile, Chang’an Univ., Xi’an, Shaanxi 710064, P.R. China (corresponding author). ORCID: https://orcid.org/0000-0001-6359-2531. E-mail: [email protected]; [email protected]
Zhongke Shi
Professor, School of Automation, Northwestern Polytechnical Univ., Xi’an, Shaanxi 710072, P.R. China.

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