In this paper, we address the finite-time attitude tracking control problem for quadrotor unmanned aerial vehicles (UAVs) subject to external disturbances and prescribed state constraints. A novel composite control framework was proposed, which integrated a finite-time disturbance observer (FTDO) with a barrier Lyapunov function (BLF)-based homogeneous controller. Specifically, an FTDO was first designed to achieve rapid and accurate estimation of the lumped disturbance, which encompassed external disturbances and model uncertainties. Then, a tangent-type barrier Lyapunov function (BLF) was constructed to prevent violation of the prescribed state constraints. Subsequently, a tangent-type BLF was introduced to strictly enforce the predefined attitude constraints. By leveraging homogeneous system theory and incorporating the disturbance estimates for feedforward compensation, a continuous composite finite-time controller was synthesized. Rigorous Lyapunov analysis demonstrated that under the proposed scheme, all closed-loop signals remained bounded, and the attitude tracking errors converged to zero within finite time, and the prescribed state constraints were never transgressed. Simulation results demonstrated the effectiveness of the proposed control scheme.
Citation: Huawei Niu, Qixun Lan, Xuehai Wang, Jingjing Mu. Composite finite-time attitude tracking control for Quadrotor UAVs with prescribed performance constraints[J]. AIMS Mathematics, 2026, 11(8): 25984-26005. doi: 10.3934/math.20261041
In this paper, we address the finite-time attitude tracking control problem for quadrotor unmanned aerial vehicles (UAVs) subject to external disturbances and prescribed state constraints. A novel composite control framework was proposed, which integrated a finite-time disturbance observer (FTDO) with a barrier Lyapunov function (BLF)-based homogeneous controller. Specifically, an FTDO was first designed to achieve rapid and accurate estimation of the lumped disturbance, which encompassed external disturbances and model uncertainties. Then, a tangent-type barrier Lyapunov function (BLF) was constructed to prevent violation of the prescribed state constraints. Subsequently, a tangent-type BLF was introduced to strictly enforce the predefined attitude constraints. By leveraging homogeneous system theory and incorporating the disturbance estimates for feedforward compensation, a continuous composite finite-time controller was synthesized. Rigorous Lyapunov analysis demonstrated that under the proposed scheme, all closed-loop signals remained bounded, and the attitude tracking errors converged to zero within finite time, and the prescribed state constraints were never transgressed. Simulation results demonstrated the effectiveness of the proposed control scheme.
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