基于采样加速度补偿的无人机姿态抗扰控制

Tian Yifei, Chu Hongyu
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引用次数: 0

摘要

针对水样无人机在采样过程中位置姿态易受风、水流等环境因素影响的问题,提出了一种由PD控制器和基于加速度补偿的滑模控制器组成的串级控制器。首先,基于拉格朗日方法建立了涡扇无人机的非线性动力学模型;其次,根据WS-UAV多体机构的运动特点,构建了由位置环PD控制器和姿态环滑模控制器组成的串级控制器,对采样器的估计加速度进行反馈,抑制采样器的摆动;最后,在模拟中考虑了风和水流的影响。结果表明,该算法比LQR算法具有更好的干扰抑制效果,提高了水样采集过程的稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disturbance Rejection Control of Unmanned Aerial Vehicle Positions and Attitudes Based on Acceleration Compensation for Water Sampling
Aiming at the problem that the positions and attitudes of the water sampling unmanned aerial vehicle (WSUAV) are easily affected by environmental factors such as wind or water flow during the sampling procedure, a cascade controller composed of PD controller and sliding mode controller based on acceleration compensation is proposed. Firstly, a nonlinear dynamic model of the WS-UAV is established based on the Lagrange method. Secondly, according to the motion characteristics of the multi-body mechanism of the WS-UAV, a cascade controller consists of the position loop PD controller and the attitude loop sliding mode controller is constructed, in order to suppress the swing of the water sampler, estimated acceleration of the water sampler is fed back. Finally, the impact caused by the wind and the water flow is considered in the simulation. The results show that the proposed algorithm has a better disturbance suppression effect than LQR, the stability of the water sampling process is improved.
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