Fuzzy-reconstruction-based robust tracking control of an air-breathing hypersonic vehicle

Cheng, Xianlei; Wang, Peng; Tang, Guojian

doi:10.1016/j.ast.2019.01.041

Cited by 10 publications

(8 citation statements)

References 21 publications

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“…Wang et al (2018) utilized T1FLS to design a flight controller for AHV in the presence of non-affine characteristics and lumped uncertainties. Cheng et al (2019) utilized a T1FLS-based state observer to reconstruct the immeasurable states, and then obtained a fuzzy-reconstruction-based robust tracking control scheme for AHV. Niu et al (2018) presented a T1FLS-based fault-tolerant controller for AHV under actuator faults.…”

Section: Introductionmentioning

confidence: 99%

Fixed-time adaptive general type-2 fuzzy logic control for air-breathing hypersonic vehicle

Jiang

Wang

et al. 2021

Transactions of the Institute of Measurement and Control

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This paper proposes a novel fixed-time adaptive general type-2 fuzzy logical control (FAGT2FLC) scheme for an air-breathing hypersonic vehicle (AHV) with uncertainties. Firstly, the AHV dynamic model is transformed into a strict feedback form. Then, the FAGT2FLC is designed based on the transformed model to improve robustness and guarantee fixed-time convergence of the closed-loop system. The general type-2 fuzzy logic system (GT2FLS) is utilized to approximate the model uncertainties; for the purpose of designing adaptive laws, the [Formula: see text]-plane method is employed to represent the GT2FLS. A parameter projection operator is used to solve the possible singularity problem of parameter adaption. Besides, a fixed-time differentiator is used to deal with the “explosion of terms” inherent in backstepping method. Theoretical analysis based on relevant lemmas shows that the closed-loop system will converge into a small error band in fixed time. Lastly, detailed simulations are carried out to demonstrate the effectiveness and superiority of the proposed control scheme.

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Section: Introductionmentioning

confidence: 99%

Fixed-time adaptive general type-2 fuzzy logic control for air-breathing hypersonic vehicle

Jiang

Wang

et al. 2021

Transactions of the Institute of Measurement and Control

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“…Nevertheless, the controller design for HFVs remains an intractable issue due to their peculiar features. For example, the engine-airframe structure results in strong couplings between propulsive and aerodynamic forces, and there exist intricate flexible deformation due to the slender geometry of vehicle structure, which influences the aerodynamic characteristics prominently [4]. In addition, the fast time-varying flight environment as well as the unknown external disturbances lead to frequent parameter variations and model uncertainties, dramatically increasing the difficulty of controller design for HFVs [5].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the fast time-varying flight environment as well as the unknown external disturbances lead to frequent parameter variations and model uncertainties, dramatically increasing the difficulty of controller design for HFVs [5]. To address these problems, many effective methods have been presented, including robust control [4]- [6], neural/fuzzy control [7]- [9], prescribed performance control [10]- [12] and so on. Although these efforts solve the above-mentioned issues to some extent, these results rarely focus on the rate of convergence.…”

Section: Introductionmentioning

confidence: 99%

Fixed-Time Fuzzy Adaptive Fault-Tolerant Control for Hypersonic Flight Vehicles Using a New Prescribed Performance Function

Dong¹,

Li²,

Lv³

et al. 2021

Preprint

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This article proposes a new fixed-time fuzzy adaptive fault-tolerant control methodology for the longitudinal dynamics of hypersonic flight vehicles (HFVs) in the presence of actuator faults, uncertain dynamics and external disturbances. In contrast with the conventional fixed-time control schemes that typically contain the fractional powers of errors in their designs, this work develops a low-complexity control structure in the sense of removing the dependence on the need of above-mentioned fractional power terms by means of prescribed performance control (PPC) method. Different from the most existing PPC approaches where the initial conditions of tracking errors are required to be known, the newly proposed prescribed performance function (PPF) can relax such restrictions through choosing properly small initial values of PPF. Fuzzy logic systems (FLSs) are employed to handle unknown dynamics and minimal learning parameter (MLP) technique is incorporated into the design for the purpose of alleviating computation burden. Closed-loop stability is rigorously proved via Lyapunov stability theory and simulation results are eventually given to validate the effectiveness of the proposed control strategy.

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“…Therefore, we know that many effective control methods combine the advantages of different control methods. We can combine adaptive dynamic surface control (DSC) 9,10 and fuzzy control methods, of course, we can also combine other methods, such as sliding mode control 11 and feedback linearization 12-14 . A review of the hypersonic flight dynamics and the related control method design could be found in Ref.…”

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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Fuzzy-reconstruction-based robust tracking control of an air-breathing hypersonic vehicle

Cited by 10 publications

References 21 publications

Fixed-time adaptive general type-2 fuzzy logic control for air-breathing hypersonic vehicle

Fixed-time adaptive general type-2 fuzzy logic control for air-breathing hypersonic vehicle

Fixed-Time Fuzzy Adaptive Fault-Tolerant Control for Hypersonic Flight Vehicles Using a New Prescribed Performance Function

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

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