JOURNAL ARTICLE

Adaptive Backstepping Sliding Mode Control of Air-Breathing Hypersonic Vehicles

Shuo WangJu JiangChaojun Yu

Year: 2020 Journal:   International Journal of Aerospace Engineering Vol: 2020 Pages: 1-11   Publisher: Hindawi Publishing Corporation

Abstract

In this paper, a controller combining backstepping and adaptive supertwisting sliding mode control method is proposed for altitude and velocity tracking control of air-breathing hypersonic vehicles (AHVs). Firstly, the nonlinear longitudinal model of AHV is introduced and transformed into a strict feedback form, to which the backstepping method can be applied. Considering the longitudinal trajectory tracking control problem (altitude control and velocity control), the altitude tracking control system is decomposed to several one-order subsystems based on the backstepping method, and an adaptive supertwisting sliding mode controller is designed for each subsystem, in order to obtain the virtual control variables and actual control input. Secondly, the overall stability of the closed-loop system is proved by the Lyapunov stability theory. At last, the simulation is carried out on an AHV model. The results show that the proposed controller has good control performances and good robustness in the parameter perturbation case.

Keywords:
Backstepping Control theory (sociology) Robustness (evolution) Sliding mode control Lyapunov function Controller (irrigation) Lyapunov stability Control engineering Nonlinear system Adaptive control Hypersonic flight Control system Strict-feedback form Engineering Computer science Hypersonic speed Control (management) Aerospace engineering Physics Artificial intelligence

Metrics

5
Cited By
0.29
FWCI (Field Weighted Citation Impact)
26
Refs
0.56
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Guidance and Control Systems
Physical Sciences →  Engineering →  Aerospace Engineering
Control and Dynamics of Mobile Robots
Physical Sciences →  Engineering →  Control and Systems Engineering
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