JOURNAL ARTICLE

Disturbance observer based robust backstepping control design of flexible air‐breathing hypersonic vehicle

Fang WangYing GuoKun WangZhang ZhengChangchun HuaQun Zong

Year: 2019 Journal:   IET Control Theory and Applications Vol: 13 (4)Pages: 572-583   Publisher: Institution of Engineering and Technology

Abstract

This study presents a new controller that is integrating sliding mode control method, a backstepping technique with disturbance observer (DO) for the flexible air‐breathing hypersonic vehicle (FAHV). A control‐oriented model (COM) is firstly established based on the engineering background of FAHV, and the COM is decomposed into a velocity subsystem and an altitude subsystem, then controllers and the DO are designed for them. The developed sliding mode surface with exponential form can accelerate the convergence speed of the sliding mode state. Furthermore, the time derivative of the virtual control inputs is seen as uncertainty, and the DO is used to estimate it, so the problem of ‘explosion of terms’ is avoided. Then the stability of the closed‐loop system is proved by Lyapunov theory, the tracking error of velocity converges to the random neighbourhood around zero, and the tracking error of altitude is asymptotic stable. Lastly, the compared simulation result is shown to verify that the proposed control method has better tracking performance than that of an adaptive backstepping controller.

Keywords:
Control theory (sociology) Backstepping Disturbance (geology) Robust control Hypersonic speed Control engineering Computer science Control (management) Engineering Control system Adaptive control Aerospace engineering Artificial intelligence

Metrics

29
Cited By
3.47
FWCI (Field Weighted Citation Impact)
65
Refs
0.93
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
Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Control and Dynamics of Mobile Robots
Physical Sciences →  Engineering →  Control and Systems Engineering

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