Novel Fuzzy Approximation Control Scheme for Flexible Air-Breathing Hypersonic Vehicles With Non-Affine Dynamics and Amplitude and Rate Constraints

Li, Xingge; Li, Gang

doi:10.1109/access.2019.2920418

Cited by 7 publications

(7 citation statements)

References 35 publications

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“…Li and colleagues 13,23 provide two different novel auxiliary systems, which tend to zero when the actuator works properly and compensates control law when it is limited. Unlike Li and Li, 23 Wang and Hu 24 describe actuator saturation as unknown nonlinear input dead zone. It will be rewritten as a form of linear inequality if the input exceeds the thresholds; therefore, an auxiliary system is unnecessary for the actuator.…”

Section: Introductionmentioning

confidence: 99%

A novel neural prescribed performance control design for constrained flexible hypersonic vehicles with compensation system

Liu

2022

Proceedings of the Institution of Mechanical Engineers, Part I:

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In this study, a novel prescribed performance function and auxiliary system are investigated for the constrained flexible hypersonic vehicles. The non-affine model of hypersonic vehicles is decomposed into velocity and altitude dynamic systems. For the velocity one, the adaptive neural prescribed controller is devised to guarantee that the tracking error converges to an arbitrary small compact. Then, the altitude dynamics subsystem is delivered as a pure feedback non-affine pattern, which gets the controller out of the dependence on precise affine model. On this premise, the exploited prescribed performance mechanism can not only avoid obtaining the initial sign of tracking error in advance but also can be employed in solving the problem that the conventional prescribed performance function could not cover the tracking error when the altitude subsystem is input constraint. And a Nussbaum-type function is employed to handle the control direction. Meanwhile, the controller utilizes a new auxiliary compensation algorithm to pursue the stable situation for the input restricted system. In order to cut down the computational burden, neural networks employ the min-learning parameter theory to approximate uncertainties in the subsystems. Finally, the simulation results convey that the presented approach has a superior dynamic and steady-state performance.

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Section: Introductionmentioning

confidence: 99%

A novel neural prescribed performance control design for constrained flexible hypersonic vehicles with compensation system

Liu

2022

Proceedings of the Institution of Mechanical Engineers, Part I:

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“…8 Aiming at the characteristic models of HSV, an adaptive output feedback control scheme based on fuzzy neural network is proposed in Chang et al 9 Li et al designed a novel fuzzy approximation control scheme; the controller based on non-affine models is used to deal with actuator faults and constraints, but the fuzzy approximator will reduce the processing speed of controller. 10 Low-pass filters are used in controller to deal with non-affine dynamics. 11,12 The theory of funnel control can take both transient and steady-state performance into account when dealing with control problems, but the design methods are complex.…”

Section: Introductionmentioning

confidence: 99%

A concise funnel robust model-free control mechanism for hypersonic space vehicles based on error driving

Zhang

Wang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part I:

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Based on non-affine models of hypersonic space vehicles, the tracking control problem of hypersonic vehicles is studied and analyzed in this article using funnel robust model-free control mechanism considering parametric uncertainty and external disturbances. First, the control system is decomposed into altitude subsystem and velocity subsystem. For altitude subsystem, we propose a concise funnel robust model-free control mechanism based on error driving, and a novel model transformation approach is applied to the controller design. The new model-free controller only contains a Hurwitz stable term and a filtering term, and does not need precise motion model and too much calculation, so it can improve the calculation speed of the system. For velocity subsystem, only a concise proportional-integral controller is needed to meet the tracking requirements. Moreover, the devised controller is capable of guaranteeing funnel performance on the altitude and velocity tracking errors. Finally, numerical simulation results are presented to verify the efficiency of the design.

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“…To enhance the robustness of controller, many disturbance observer (DOB) based techniques were investigated, such as fuzzy-based observer [12], [14], nonlinear disturbance observer [26], [40], [41], super twisting algorithm based observer [29], [30], extend state observer (ESO) [42], [43], etc. Li and Li [12] utilized a novel fuzzy-based approximator to estimate the total uncertainties of velocity subsystem and altitude system. Wu et al [26] proposed a strictly-lower-convex-function constructing nonlinear disturbance observer (SDOB) based backstepping controller for HFV.…”

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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Novel Fuzzy Approximation Control Scheme for Flexible Air-Breathing Hypersonic Vehicles With Non-Affine Dynamics and Amplitude and Rate Constraints

Cited by 7 publications

References 35 publications

A novel neural prescribed performance control design for constrained flexible hypersonic vehicles with compensation system

A novel neural prescribed performance control design for constrained flexible hypersonic vehicles with compensation system

A concise funnel robust model-free control mechanism for hypersonic space vehicles based on error driving

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

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