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Adaptive Second-order Sliding Mode Control of UAVs for Civil Applications

机译:民用无人机自适应二阶滑模控制   应用

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摘要

Quadcopters, as unmanned aerial vehicles (UAVs), have great potential incivil applications such as surveying, building monitoring, and infrastructurecondition assessment. Quadcopters, however, are relatively sensitive to noisesand disturbances so that their performance may be quickly downgraded in thecase of inadequate control, system uncertainties and/or external disturbances.In this study, we deal with the quadrotor low-level control by proposing arobust scheme named the adaptive second-order quasi-continuous sliding modecontrol (adaptive 2-QCSM). The ultimate objective is for robust attitudecontrol of the UAV in monitoring and inspection of built infrastructure. First,the mathematical model of the quadcopter is derived considering nonlinearity,strong coupling, uncertain dynamics and external disturbances. The controldesign includes the selection of the sliding manifold and the development ofquasi-continuous second-order sliding mode controller with an adaptive gain.Stability of the overall control system is analysed by using a global Lyapunovfunction for convergence of both the sliding dynamics and adaptation scheme.Extensive simulations have been carried out for evaluation. Results show thatthe proposed controller can achieve robustness against disturbances orparameter variations and has better tracking performance in comparison withexperimental responses of a UAV in a real-time monitoring task.
机译:作为无人飞行器(UAV)的四轴飞行器具有巨大的潜在民用应用,例如勘测,建筑物监控和基础设施条件评估。然而,四旋翼飞机对噪声和干扰相对敏感,因此在控制不足,系统不确定性和/或外部干扰的情况下,其性能可能会迅速下降。在本研究中,我们通过提出一种鲁棒的方案来应对四旋翼飞机的低水平控制。自适应二阶准连续滑模控制(自适应2-QCSM)。最终目标是在监视和检查已建基础设施中对无人机进行可靠的姿态控制。首先,考虑了非线性,强耦合,不确定的动力学和外部干扰,推导了四轴飞行器的数学模型。该控制设计包括滑动歧管的选择和具有自适应增益的准连续二阶滑模控制器的开发。通过使用全局Lyapunov函数分析滑动动力学和自适应方案的收敛性来分析整个控制系统的稳定性。已经进行了广泛的仿真以进行评估。结果表明,与无人机在实时监控任务中的实验响应相比,该控制器具有较强的鲁棒性和抗干扰性,并具有较好的跟踪性能。

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