Adaptive Prescribed‐Time Trajectory Tracking Control for a Quadrotor With Non‐Vanishing Uncertainties

ABSTRACT This paper investigates a global prescribed‐time trajectory tracking control problem for a quadrotor unmanned aerial vehicle (QUAV) subject to non‐vanishing uncertainties. To overcome the limitations of traditional prescribed‐time control (PTC) methods that rely on switching mechanisms or are sensitive to initial conditions, a novel prescribed‐time controller is constructed based on reference convergence differential functions (RCDF), avoiding any state transition and reducing computational burden. To the authors' best knowledge, while many existing PTC methods can handle non‐vanishing uncertainties (NVU), effectively addressing NVU in under‐actuated systems remains a challenging issue. Then, a prescribed‐time unknown input observer (PTUIO) is designed to estimate translational disturbances, and an adaptive law is introduced into the attitude subsystem to compensate for NVU. Moreover, this control strategy guarantees the system convergence over the entire time interval with a user‐defined settling time, regardless of initial conditions. Simulation results under various conditions demonstrate the effectiveness, robustness, and practical feasibility of the proposed scheme compared to related methods.

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Publication Details

Journal
International Journal of Adaptive Control and Signal Processing
Published
2026-01-05
DOI
https://doi.org/10.1002/acs.70028
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Adaptive Prescribed‐Time Trajectory Tracking Control for a Quadrotor With Non‐Vanishing Uncertainties

Yuanjie Zhao, Zifei Wang, Haoan Wang, Xiaojing Wu et al.
International Journal of Adaptive Control and Signal Processing
Adaptive Control of Nonlinear Systems
article

Adaptive Prescribed‐Time Trajectory Tracking Control for a Quadrotor With Non‐Vanishing Uncertainties

Yuanjie Zhao, Zifei Wang, Haoan Wang, Xiaojing Wu, Shikai Shao, Bailing Tian, Xiaoyuan Luo
article en

Abstract

ABSTRACT This paper investigates a global prescribed‐time trajectory tracking control problem for a quadrotor unmanned aerial vehicle (QUAV) subject to non‐vanishing uncertainties. To overcome the limitations of traditional prescribed‐time control (PTC) methods that rely on switching mechanisms or are sensitive to initial conditions, a novel prescribed‐time controller is constructed based on reference convergence differential functions (RCDF), avoiding any state transition and reducing computational burden. To the authors' best knowledge, while many existing PTC methods can handle non‐vanishing uncertainties (NVU), effectively addressing NVU in under‐actuated systems remains a challenging issue. Then, a prescribed‐time unknown input observer (PTUIO) is designed to estimate translational disturbances, and an adaptive law is introduced into the attitude subsystem to compensate for NVU. Moreover, this control strategy guarantees the system convergence over the entire time interval with a user‐defined settling time, regardless of initial conditions. Simulation results under various conditions demonstrate the effectiveness, robustness, and practical feasibility of the proposed scheme compared to related methods.

International Journal of Adaptive Control and Signal Processing
Tianjin University (CN), Hebei University of Science and Technology (CN), Yanshan University (CN)
Natural Science Foundation of Hebei Province
Peace, Justice and strong institutions
Openalex Percentile: Top 96%
Adaptive Control of Nonlinear Systems
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