Print Email Facebook Twitter Fuzzy Adaptive Output-Feedback Constrained Trajectory Tracking Control for HFVs with Fixed-Time Convergence Title Fuzzy Adaptive Output-Feedback Constrained Trajectory Tracking Control for HFVs with Fixed-Time Convergence Author Zuo, Renwei (Air Force Engineering University China) Li, Yinghui (Air Force Engineering University China) Lv, Maolong (TU Delft Team Bart De Schutter) Liu, Zongcheng (Air Force Engineering University China) Zhang, Fan (Sun Yat-sen University) Date 2022 Abstract 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. Subject Aerodynamicsasymmetric output constraintsControl designConvergencefixed-time differentiatorFuzzy logicHypersonic flight vehiclesLyapunov methodsoutput-feedback controlTrajectory trackingVehicle dynamics To reference this document use: http://resolver.tudelft.nl/uuid:1f4029b5-2648-4fdc-8a1b-d114228f35f2 DOI https://doi.org/10.1109/TFUZZ.2022.3161732 ISSN 1063-6706 Source IEEE Transactions on Fuzzy Systems, 30 (11), 4828-4840 Bibliographical note Accepted Author Manuscript Part of collection Institutional Repository Document type journal article Rights © 2022 Renwei Zuo, Yinghui Li, Maolong Lv, Zongcheng Liu, Fan Zhang Files PDF Fuzzy_Adaptive_Output_Fee ... rgence.pdf 3.66 MB Close viewer /islandora/object/uuid:1f4029b5-2648-4fdc-8a1b-d114228f35f2/datastream/OBJ/view