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

机译:用于民用应用的UVS的自适应二阶滑动模式控制

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Quadcopters, as unmanned aerial vehicles (UAVs), have great potential in civil applications such as surveying, building monitoring, and infrastructure condition assessment. Quadcopters, however, are relatively sensitive to noises and disturbances so that their performance may be quickly downgraded in the case of inadequate control, system uncertainties and/or external disturbances. In this study, we deal with the quadrotor low-level control by proposing a robust scheme named the adaptive second-order quasi-continuous sliding mode control (adaptive 2-QCSM). The ultimate objective is for robust attitude control of the UAV in monitoring and inspection of built infrastructure. First, the mathematical model of the quadcopter is derived considering non-linearity, strong coupling, uncertain dynamics and external disturbances. The control design includes the selection of the sliding manifold and the development of quasi-continuous second-order sliding mode controller with an adaptive gain. Stability of the overall control system is analysed by using a global Lyapunov function for convergence of both the sliding dynamics and adaptation scheme. Extensive simulations have been carried out for evaluation. Results show that the proposed controller can achieve robustness against disturbances or parameter variations and has better tracking performance in comparison with experimental responses of a UAV in a real-time monitoring task.
机译:作为无人驾驶飞行器(无人机)的Quadcopters,在调查,建筑监测和基础设施条件评估等民用应用中具有很大的潜力。然而,Quadcopters对噪音和扰动相对敏感,因此在控制的情况不足,系统不确定性和/或外部干扰的情况下,它们的性能可能会快速降级。在这项研究中,我们通过提出名为Adaptive二阶准连续滑模控制(Adaptive 2-QCSM)的强大方案来处理四轮车低级控制。最终目标是在建造基础设施监测和检查中的无人机态度控制。首先,推导出考虑非线性,强耦合,不确定动态和外部干扰的Quadcopter的数学模型。控制设计包括选择滑动歧管和具有自适应增益的准连续二阶滑动模式控制器的开发。通过使用全球Lyapunov函数来分析整个控制系统的稳定性,以进行滑动动力学和适配方案的收敛。已经进行了广泛的仿真进行了评估。结果表明,建议的控制器可以实现抗扰度或参数变化的稳健性,并且与实时监控任务中无人机的实验响应相比,具有更好的跟踪性能。

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