Prescribed performance control using an adaptive super-twisting sliding mode method for quad-rotor UAV under the disturbance from variable-length gimbal

Qilei Yang, Yizhai Zhang, Yuyao Sun, Panfeng Huang
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Abstract

Recently, bridge detection by QUAVs(Quad-rotor Unmanned Aerial Vehicles) is more and more prevalent, however, there is a problem that QUAVs cannot fly close enough to get clear shots for some complex bridge structures. To solve it, an invention of variable-length gimbal mounted on QUAV is proposed in this study, at the same time, the control method of QUAVs with the gimbal is put forward. In detail, dynamic model of system is given considering the disturbance from gimbal and model uncertainty. Then, assuming the upper bound of the disturbance and uncertainty is unknown, an adaptive super-twisting fast terminal sliding mode control method meets prescribed performance is planned, which can achieve accurate estimation of the upper bounds. As a result, the validity of the method and its superior system performance is proved by simulation outcomes.
基于自适应超扭转滑模方法的四旋翼无人机变长框架扰动下的预定性能控制
近年来,利用四旋翼无人机(QUAVs)进行桥梁探测越来越普遍,但对于一些复杂的桥梁结构,QUAVs的飞行距离不够近,无法获得清晰的射击。为解决这一问题,本研究提出了一种安装在自动驾驶飞行器上的变长云台,同时提出了利用该云台控制自动驾驶飞行器的方法。详细地建立了考虑框架干扰和模型不确定性的系统动力学模型。然后,假设扰动和不确定性的上界未知,设计了满足规定性能的自适应超扭转快速终端滑模控制方法,实现了上界的精确估计。仿真结果证明了该方法的有效性和优越的系统性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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