Observer‐based robust adaptive T2 fuzzy tracking control for flexible air‐breathing hypersonic vehicles

Liu, Yifan; Pu, Zhiqiang; Yi, Jianqiang

doi:10.1049/iet-cta.2017.1198

Cited by 23 publications

(15 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Theorem 1. Suppose that Assumptions 1 and 2 are satisfied, considering the uncertain nonlinear systems (1) subject to the time-varying fault f 0 , we design fault estimation fuzzy observer (6) and adaptive faulttolerant controller (24), (28), (33). Then, for bounded initial conditions…”

Section: Stability Analysismentioning

confidence: 99%

Observer‐based adaptive fault estimation and fault‐tolerant tracking control for a class of uncertain nonlinear systems

Zhang

2020

IET Control Theory & Appl

View full text Add to dashboard Cite

This paper considers the problem of adaptive fault estimation and fault‐tolerant tracking control for a class of uncertain nonlinear systems with model uncertainty and process fault. By utilising the approximation abilities of fuzzy logic systems, a novel fault estimation fuzzy observer is designed to estimate the unmeasured states, nonlinear functions and process fault. Based on backstepping technologies, a adaptive fuzzy fault‐tolerant controller with the adaptive updated laws is established, which can not only ensure the prescribed tracking performances, but also effectively compensate the process fault. It is proved that all the closed‐loop signals of systems are uniformly ultimately bounded and the tracking errors can constrain to the prescribed bounds. Finally, simulation results can verify the efficiency of the proposed approach.

show abstract

Section: Stability Analysismentioning

confidence: 99%

Observer‐based adaptive fault estimation and fault‐tolerant tracking control for a class of uncertain nonlinear systems

Zhang

2020

IET Control Theory & Appl

View full text Add to dashboard Cite

show abstract

“…Nevertheless, they are more suitable for discrete‐time systems than continuous‐time ones and difficult to be applied to complex FAHV dynamics. By using the non‐linear observer, the noise contaminated signals in FAHV are estimated in [38, 39]. Unfortunately, the robustness of these non‐linear observers against measurement noises is only verified by simulations, which means that they lack theoretical analysis.…”

Section: Introductionmentioning

confidence: 99%

Augmented fixed‐time observer‐based continuous robust control for hypersonic vehicles with measurement noises

Sun

2019

IET Control Theory & Applications

Self Cite

View full text Add to dashboard Cite

“…For hypersonic flight vehicles, there are extensive control theories and methods, such as robust control [5], [6], sliding mode control [7]- [9], back-stepping control [10] and funnel control [2], [11]. In recent years, intelligent control methods [12]- [14] are introduced into the FAHV control system. In the process of designing control laws for FAHVs, previous studies mainly focus on affine models and usually ignore the non-affine dynamics.…”

Section: Introductionmentioning

confidence: 99%

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

2019

IEEE Access

View full text Add to dashboard Cite

This paper proposes a novel fuzzy control scheme for flexible air-breathing hypersonic vehicle (FAHV) non-affine models with amplitude and rate constraints. First, the non-affine dynamics of the FAHV is decomposed into velocity subsystem and altitude subsystem, then the non-affine models of each subsystem are converted into equivalent pure feedback forms, and the fuzzy approximator is used to estimate the total uncertainties of each subsystem. Since the input of control system can be limited by the actual actuator, a new error compensation auxiliary system is proposed to solve the amplitude and rate constraints of the actuator, and a fuzzy controller with auxiliary systems is designed. The stability of the closed-loop system is proved by the Lyapunov method. Through simulation verification, the effective performance of the control system has been proved. INDEX TERMS Fuzzy approximator, flexible air-breathing hypersonic vehicle (FAHV), non-affine dynamics, error compensation auxiliary system, amplitude and rate constraints.

show abstract

Observer‐based robust adaptive T2 fuzzy tracking control for flexible air‐breathing hypersonic vehicles

Cited by 23 publications

References 47 publications

Observer‐based adaptive fault estimation and fault‐tolerant tracking control for a class of uncertain nonlinear systems

Observer‐based adaptive fault estimation and fault‐tolerant tracking control for a class of uncertain nonlinear systems

Augmented fixed‐time observer‐based continuous robust control for hypersonic vehicles with measurement noises

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

Contact Info

Product

Resources

About