4.8 Article

Fuzzy Adaptive Output-Feedback Constrained Trajectory Tracking Control for HFVs With Fixed-Time Convergence

期刊

IEEE TRANSACTIONS ON FUZZY SYSTEMS
卷 30, 期 11, 页码 4828-4840

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2022.3161732

关键词

Vehicle dynamics; Aerodynamics; Trajectory tracking; Convergence; Control design; Lyapunov methods; Fuzzy logic; Asymmetric output constraints; fixed-time differentiator; hypersonic flight vehicles (HFVs); output-feedback control

资金

  1. Excellent Doctoral Dissertation Foundation of Air Force Engineering University [KGD081120005]
  2. Young Talent Promotion Program of Xi'an [095920201309]

向作者/读者索取更多资源

This article proposes an output-feedback fixed-time trajectory tracking control methodology for hypersonic flight vehicles. The most distinguishing feature of this method is that it avoids using conventional recursive design methods and does not rely on full-state availability. By adopting an asymmetric integral barrier Lyapunov function and utilizing the cascaded property, the original constrained system is transformed to an unconstrained one, simplifying the control design and stability analysis.
This article proposes an output-feedback fixed-time trajectory tracking control methodology for hypersonic flight vehicles subject to asymmetric output constraints. In contrast to the state of the art, the most distinguishing feature of our control design lies in avoiding using conventional recursive design methods (e.g., backstepping technique, dynamic surface control, etc.) and in not relying on full-state availability. In the velocity control loop, an asymmetric integral barrier Lyapunov function is adopted to confine velocity variable within a well-defined compact set all the time. In the altitude control loop, after utilizing its cascaded property and proposing a novel scaling function, the original constrained system is transformed to an unconstrained one, which facilitates the control design and stability analysis. Moreover, the proposed control algorithm only involves one fuzzy logic approximator as well as one fixed-time differentiator in the transformed system and guarantees that the tracking errors of velocity and altitude converge into the user-defined residual sets within fixed time. Several comparative simulations have been conducted to highlight the superiorities of the developed method.

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