Improved nonlinear dynamic inversion control for a flexible air-breathing hypersonic vehicle

Wu, Guanghui; Meng, Xiuyun; Wang, Fuyi

doi:10.1016/j.ast.2018.04.036

Cited by 40 publications

(18 citation statements)

References 17 publications

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“…In this paper, DO is applied to handle the aerodynamic parametric uncertainties and estimate the lumped uncertainty including aerodynamic parametric uncertainties, non‐linear and coupling dynamics, flexible effects and the time derivative of virtual control inputs. DO‐based control scheme behaves the good dynamic tracking performance. Remark 6 In [60], an improved non‐linear dynamic inversion control approach for the longitudinal dynamics of a FAHV is presented. In [61], a novel control scheme for the FAHV using adaptive interval type‐2 fuzzy logic system is proposed.…”

Section: Stability Analysismentioning

confidence: 99%

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

Wang

Guo

Wang

et al. 2019

IET Control Theory & Applications

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Section: Stability Analysismentioning

confidence: 99%

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

Wang

Guo

Wang

et al. 2019

IET Control Theory & Applications

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“…Consequently, this integration would lead to heavy couplings among the elastic airframe, the propulsion system and the structural dynamics [4]. Moreover, the unmanageable nonlinear dynamics, the uncertainty of flight aerodynamic parameters and the severe external disturbances during the flight envelope would make the control of AHV more challenging [5]. Therefore, stability and robustness are still a focus issue of AHV.…”

Section: Introductionmentioning

confidence: 99%

Super Twisting Disturbance Observer-Based Fixed-Time Sliding Mode Backstepping Control for Air-Breathing Hypersonic Vehicle

Liu

et al. 2020

IEEE Access

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This paper investigates the velocity and altitude tracking control problem for air-breathing hypersonic vehicle (AHV) under external disturbances and uncertainties. An improved smooth supertwisting based disturbance observer (SSTDOB) is proposed to estimate the unknown external disturbances. With the assistance of SSTDOB, an effective fixed-time sliding mode backstepping control (FSMBC) is designed to guarantee the tracking errors converge to a small neighbor of the origin. Meanwhile, a fixedtime tracking differentiator (FTD) is employed to estimate the virtual control inputs, which can eliminate the differential explosion problem. The overall stability of the closed-loop system is analyzed by utilizing Lyapunov stability theory. Simulation results demonstrate the effectiveness of the composite method. INDEX TERMS Air-breathing hypersonic vehicle, backstepping control, disturbance observer, fixed-time sliding mode control, super twisting algorithm. A. SIMULATION ANALYSIS OF SSTDOB-FSMBC WITHOUT AERODYNAMIC UNCERTAINTIES

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“…It is very difficult to design an effective control method for hypersonic vehicles 1 . Therefore, there has been a lot of research for the hypersonic vehicle 2-5 …”

Section: Introductionmentioning

confidence: 99%

Adaptive dynamic surface control using neural networks for hypersonic flight vehicle with input nonlinearities

Zhou

Liu²,

Cheng³

et al. 2020

Optim Control Appl Methods

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Summary This study proposes an effective adaptive dynamic surface control (DSC) method based on the radial basis function neural networks and the auxiliary system for hypersonic flight vehicle (HFV) systems in the presence of system uncertainties, external disturbances, and state variable and control input constraints. Firstly, to enhance the robustness of the system, the neural network is combined with the robust term to deal with the uncertainties and external disturbances of the system. Secondly, to prevent the deterioration of the dynamic performance of the system due to the over‐adaptation of the neural networks and the robust terms caused by the state and control input constraints, the auxiliary system is added at each step in the DSC design to adjust the dynamic process of the reference signal and virtual control. Furthermore, the variable structure control is used to solve the problem of dead zone in the control input. Using the Lyapunov analysis method, all signals of the closed‐loop system are semi‐globally uniformly ultimate bounded. The simulation results illustrate the effectiveness of the proposed control scheme for the HFVs.

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Improved nonlinear dynamic inversion control for a flexible air-breathing hypersonic vehicle

Cited by 40 publications

References 17 publications

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

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

Super Twisting Disturbance Observer-Based Fixed-Time Sliding Mode Backstepping Control for Air-Breathing Hypersonic Vehicle

Adaptive dynamic surface control using neural networks for hypersonic flight vehicle with input nonlinearities

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