Technical Papers
Aug 11, 2014

Robust Adaptive Approximate Backstepping Control Design for a Flexible Air-Breathing Hypersonic Vehicle

Publication: Journal of Aerospace Engineering
Volume 28, Issue 4

Abstract

This paper presents a tracking control problem of a flexible air-breathing hypersonic vehicle with aerodynamic uncertainty. The flight control design is challenging because of heavily coupled propulsive, aerodynamic forces and flexibility effects. A control-oriented model is derived where the flexible dynamics are regarded as perturbations and the aerodynamic uncertainty is included. It does not need to be transformed into a linear parameterization formulation. Based on an analysis of it, it is decomposed into a velocity subsystem and an altitude subsystem. Then dynamic inversion and a sliding mode control are combined to design the controller of the velocity subsystem. In addition, the sliding mode control and adaptive control are incorporated into a backstepping control architecture to develop the controller for the altitude subsystem after it is transformed into approximately strict-feedback form. The upper bounds of the uncertain terms do not need to be known in advance. They are estimated online, and the estimated values are updated by adaptive laws. Time derivatives of virtual control inputs are taken as uncertain terms to eliminate the so-called explosion-of-terms problem in traditional backstepping control. Simulation results demonstrate the performance of the proposed control scheme, which achieves stable tracking of the reference trajectories.

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Acknowledgments

The authors would like to thank the editor and all anonymous reviewers for their comments, which helped to improve the quality of this paper. This work was supported in part by the National Natural Science Foundation of China (91016018, 61203012, 61273092), Key Grant Project of the Chinese Ministry of Education (311012), Tianjin Basic Research Key Foundation (11JCZDJC25100), Aeronautical Science Foundation of China (20125848004) Supported by Science and Technology on Aircraft Control Laboratory, Independent Innovation Fund of Tianjin University (2013XQ-0022), and funding by the Tianjin Key Laboratory of Process Measurement and Control (TKLPMC-201315).

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 28Issue 4July 2015

History

Received: Apr 19, 2013
Accepted: May 28, 2014
Published online: Aug 11, 2014
Discussion open until: Jan 11, 2015
Published in print: Jul 1, 2015

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Qun Zong
Professor, College of Electrical Engineering and Automation, Tianjin Univ., No. 92, Weijin Rd., Nankai District, Tianjin 300072, P.R. China.
Ph.D. Student, College of Electrical Engineering and Automation, Tianjin Univ., No. 92, Weijin Rd., Nankai District, Tianjin 300072, P.R. China (corresponding author). E-mail: [email protected]
Bailing Tian
Lecturer, College of Electrical Engineering and Automation, Tianjin Univ., No. 92, Weijin Rd., Nankai District, Tianjin 300072, P.R. China.
Jie Wang
Ph.D. Student, College of Electrical Engineering and Automation, Tianjin Univ., No. 92, Weijin Rd., Nankai District, Tianjin 300072, P.R. China.

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