Coupling Disturbance Modeling and Compensation for Aerial Manipulator in Highly Dynamic Motion

IF 9.4 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Cybernetics Pub Date : 2024-10-18 DOI:10.1109/TCYB.2024.3476124
Zhan Li;Hai Li;Quman Xu;Xinghu Yu;Michael V. Basin
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Abstract

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.
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高动态运动中航空机械手的耦合扰动建模与补偿
当机械臂在大范围快速运动的高动态场景中运动时,空中机械臂系统中机械臂与无人机之间的耦合扰动变得非常强,直接影响到空中机械臂系统进行空中操纵的能力,甚至对系统的安全构成威胁。本文的目的是通过精确的耦合干扰建模和补偿来解决自动辅助系统中的强耦合干扰问题。首先,考虑到系统在高动态情况下质心和转动惯量的快速变化,深入研究了耦合扰动的产生机理,并基于变惯量参数建立了耦合扰动的模型。提出的精确耦合扰动模型(CDM)充分利用了系统的状态信息,可以在不借助外力和扭矩传感器的情况下实现对耦合扰动的精确估计。利用该模型,在控制器设计过程中对AMS中的强耦合扰动进行了前馈补偿。为了验证目的,开发了一个室内AMS实验平台。实验和仿真是在高动态场景下进行的,涉及机械手在大范围内的快速运动。实验和仿真结果验证了该方法抑制强耦合扰动的有效性和优越性。
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来源期刊
IEEE Transactions on Cybernetics
IEEE Transactions on Cybernetics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
25.40
自引率
11.00%
发文量
1869
期刊介绍: The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or machine, human, and organizations. The scope includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, cognitive systems, decision making, and robotics, to the extent that they contribute to the theme of cybernetics or demonstrate an application of cybernetics principles.
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