Li Zhan, Li Hai, Xu Quman, Yu Xinghu, Basin Michael V
IEEE Trans Cybern. 2025 Jan;55(1):124-135. doi: 10.1109/TCYB.2024.3476124. Epub 2024 Dec 19.
When a manipulator moves in a highly dynamic scenario with a large range of rapid motion, the coupling disturbances between the manipulator and the UAV in the aerial manipulator system (AMS) become very strong, which directly affects the ability of the AMS to perform aerial manipulation and even poses a threat to the safety of the system. The aim of this article is to address the strong coupling disturbance problem in the AMS through precise coupling disturbance modeling and compensation. First, considering the rapid changes in the center of mass (CoM) and the moment of inertia (MoI) of the system under a highly dynamic scenario, this article delves into the generation mechanism of the coupling disturbances and models them based on the variable inertia parameters. The proposed precise coupling disturbance model (CDM) makes good use of the state information of the system, which enables one to achieve accurate estimation of the coupling disturbances without the aid of external force and torque sensors. With the proposed model, the strong coupling disturbances in the AMS are compensated in a feedforward way during the controller design process. An indoor AMS experimental platform is developed for validation purposes. The experiments and simulation are conducted in a highly dynamic scenario, involving rapid movements of the manipulator across a large range. The experimental and simulation results demonstrate the effectiveness and advantages of the proposed method for suppressing the strong coupling disturbances.
当机械手在具有大范围快速运动的高动态场景中移动时,空中机械手系统(AMS)中机械手与无人机之间的耦合干扰会变得非常强烈,这直接影响AMS执行空中操作的能力,甚至对系统安全构成威胁。本文的目的是通过精确的耦合干扰建模和补偿来解决AMS中的强耦合干扰问题。首先,考虑到在高动态场景下系统质心(CoM)和转动惯量(MoI)的快速变化,本文深入研究了耦合干扰的产生机制,并基于可变惯性参数对其进行建模。所提出的精确耦合干扰模型(CDM)充分利用了系统的状态信息,使得在无需外力和扭矩传感器的情况下能够实现对耦合干扰的精确估计。利用所提出的模型,在控制器设计过程中以前馈方式对AMS中的强耦合干扰进行补偿。为了进行验证,搭建了一个室内AMS实验平台。实验和仿真在高动态场景下进行,包括机械手在大范围的快速移动。实验和仿真结果证明了所提方法在抑制强耦合干扰方面的有效性和优势。