Adaptive sliding mode tracking control for a flexible air-breathing hypersonic vehicle

Hu, Xiaoxiang; Wu, Ligang; Hu, Changhua; Gao, Huijun

doi:10.1016/j.jfranklin.2011.08.007

Cited by 181 publications

(110 citation statements)

References 35 publications

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“…In recent decades, plenty of control strategies have also been explored for air-breathing hypersonic vehicles (AHV), for example, feedback linearization [3], backstepping [4], adaptive control [5,6], and sliding mode control (see [7,8] and references therein). Generally speaking, feedback linearization is an effective means to analyse stability of the nonlinear system, and it was used to design AHV control system in [3].…”

Section: Introductionmentioning

confidence: 99%

“…However, adaptive controllers always have overly complicated computation and the unknown parameters of system need to be recognized online, which cannot be implemented in engineering. Among previous control approaches, sliding model control (SMC) attracts extensive attention due to its simplicity and robustness to parameter uncertainties and external disturbances [7,8]. Unfortunately, there are also some disadvantages in SMC, and the well-known one is chattering phenomenon, which limits application of SMC in the AHV control system.…”

Section: Introductionmentioning

confidence: 99%

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Velocity Control Based on Active Disturbance Rejection for Air‐Breathing Supersonic Vehicles

2018

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This paper investigates a velocity tracking control approach for air-breathing supersonic vehicles with uncertainties and external disturbances. Considering angle of attack is difficult to be precisely measured in practice, extended state observer technique is introduced into the state reconstruction design. In order to avoid possible oscillations in the design of the traditional extended state observer (TESO), a modified extended state observer (MESO) is developed, where a new smooth function is proposed to replace nonsmooth function of TESO. On the basis of it, an active disturbance rejection controller (ADRC) is designed for velocity control systems. Simultaneously, the closed-loop stability is rigorously proved by using Lyapunov theory. Finally, numeric simulations are conducted to validate the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Velocity Control Based on Active Disturbance Rejection for Air‐Breathing Supersonic Vehicles

2018

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“…To guarantee the robustness with respect to parametric uncertainties, an adaptive sliding mode controller is addressed for an AHV [8,9]. The starting point of that strategy [8,9] is to linearize the vehicle model as an affine one, which is required for the control design. In [10], a continuous highorder sliding mode control scheme is investigated using an affine AHV model.…”

Section: Introductionmentioning

confidence: 99%

Concise Neural Nonaffine Control of Air-Breathing Hypersonic Vehicles Subject to Parametric Uncertainties

Bu¹,

Wang²,

Zhao³

et al. 2017

International Journal of Aerospace Engineering

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In this paper, a novel simplified neural control strategy is proposed for the longitudinal dynamics of an air-breathing hypersonic vehicle (AHV) directly using nonaffine models instead of affine ones. For the velocity dynamics, an adaptive neural controller is devised based on a minimal-learning parameter (MLP) technique for the sake of decreasing computational loads. The altitude dynamics is rewritten as a pure feedback nonaffine formulation, for which a novel concise neural control approach is achieved without backstepping. The special contributions are that the control architecture is concise and the computational cost is low. Moreover, the exploited controller possesses good practicability since there is no need for affine models. The semiglobally uniformly ultimate boundedness of all the closed-loop system signals is guaranteed via Lyapunov stability theory. Finally, simulation results are presented to validate the effectiveness of the investigated control methodology in the presence of parametric uncertainties.

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“…Plenty of control strategies have been proposed for the flexible HFV model, such as adaptive sliding mode control 6,7 and linear output feedback control. 8 The above methods are all based on the linear model of HFVs, which is linearized around the equilibrium point of HFVs.…”

Section: Introductionmentioning

confidence: 99%

Adaptive variable structure control of input delay non-minimum phase hypersonic flight vehicles

Huang

Yan

2017

International Journal of Advanced Robotic Systems

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An adaptive variable structure control strategy is proposed for the output tracking control of input delay non-minimum hypersonic flight vehicles. The problem is challenging because of the complex nonlinearity of hypersonic flight vehicles and the existence of input delay. The nonlinear model of hypersonic flight vehicles is partially linearized, and a state tracking model is constructed based on the ideal internal dynamics of hypersonic flight vehicles. A filtered tracking error is introduced to handle the input delay. A variable structure control strategy is proposed for the stability of filtered tracking error system, and an adaptive law is established for the unknown perturbations. Finally, the effectiveness of the proposed control method is shown by the simulation results.

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Adaptive sliding mode tracking control for a flexible air-breathing hypersonic vehicle

Cited by 181 publications

References 35 publications

Velocity Control Based on Active Disturbance Rejection for Air‐Breathing Supersonic Vehicles

Velocity Control Based on Active Disturbance Rejection for Air‐Breathing Supersonic Vehicles

Concise Neural Nonaffine Control of Air-Breathing Hypersonic Vehicles Subject to Parametric Uncertainties

Adaptive variable structure control of input delay non-minimum phase hypersonic flight vehicles

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