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Anti-disturbance constrained control of the air recovery carrier via an integral barrier Lyapunov function

机译:通过整体屏障Lyapunov功能对空气回收载体的防扰约束控制

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The carrier aircraft's accurate control plays a fundamental and vital role during the air recovery of swarm unmanned aerial vehicles. To handle the control problem of the air recovery carrier with trajectory and posture constraints under unknown complex airflow disturbances, this paper proposes a robust constrained flight controller by integrating the integral Barrier Lyapunov function (iBLF) based dynamic surface control (DSC) method with the high-order sliding mode disturbance observer. Firstly, the carrier's six DOF affine nonlinear dynamics considering the unknown airflow disturbances are established for controller design convenience. Secondly, several finite-time convergent super-twisting sliding mode observers are designed to accurately observe the "lumped disturbances" in each subsystem composed of the airflow effect and other unmeasured items. Then, by taking these estimated disturbances as a kind of feed-forward compensating signals, an iBLF-based DSC is established for the carrier's constrained flight required by the specific air recovery mission. Moreover, closed-loop stability is analyzed. Finally, the flight simulations are performed to show the constrained control performance and the anti-disturbance ability of the proposed carrier flight controller, even under unknown airflow disturbances. (C) 2020 Elsevier Masson SAS. All rights reserved.
机译:运营机的准确控制在群体无人驾驶车辆的空气回收过程中起着基本和至关重要的作用。为了处理空气回收载体的控制问题,在未知的复杂气流干扰下的轨迹和姿势约束,通过将基于积分屏障Lyapunov函数(IBLF)的动态表面控制(DSC)方法与高分相比,本文提出了一种坚固的被限制的飞行控制器。 -Order滑模干扰观察者。首先,考虑未知的气流干扰的载体的六个Dof仿射非线性动力学是为控制器设计方便的。其次,若干有限时间收敛超扭转滑动模式观察者旨在精确地观察由气流效果和其他未测量物品组成的每个子系统中的“集成扰动”。然后,通过将这些估计的干扰作为一种前馈补偿信号,为特定空气回收任务所需的载体的约束飞行建立了基于IBLF的DSC。此外,分析了闭环稳定性。最后,即使在未知的气流干扰下,也执行飞行模拟以显示所提出的载波飞行控制器的受限控制性能和防扰能力。 (c)2020 Elsevier Masson SAS。版权所有。

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