Actuator fault detection for masonry robot manipulator arm with the interval observer

IF 4.2 2区 计算机科学 Q2 ROBOTICS Journal of Field Robotics Pub Date : 2022-08-28 DOI:10.1002/rob.22114
Jinbao Zhao, Ke Zhang, Maxiao Hou, Hao Zhang, Yunfei Bai, Yanzheng Huang, Jianan Li
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引用次数: 2

Abstract

The main construction method of building wall is artificial masonry, the main problem is that the process is associated with low construction efficiency and poor safety, workers are prone fall from high altitude. The research of automatic masonry robot has become an urgent need. The masonry mechanical arm system is the main executing part of the masonry robot, special attention should be paid to the robot fault. Therefore, it is necessary to establish a suitable model to detect the actuator faults of the manipulator system. In this paper, a dynamic model of manipulator fault is presented and a fault detection scheme of masonry robot manipulator arm is proposed based on the model. The model is simplified by analyzing the state parameters of each joint during robot masonry and the interval observer with more design freedom was designed based on the established mathematical model of actuator faults. In this paper, a joint method for solving S and L matrices is proposed, which avoids the limitation of the traditional method for solving L matrices by two-step. In the presence of external interference, l 1 ${l}_{1}$ / H ${H}_{\infty }$ performance are introduced into the generation process of residual interval, and the interval observer has better disturbance robustness and fault sensitivity. Simulation experiments verify that the scheme can effectively detect the actuator fault of the manipulator, and experiments are carried out on a 6-axis manipulator. The experimental results show that when actuator faults occur at joints 2 and 3, the residual rapidly exceeds the threshold range, which proves the effectiveness of the fault detection scheme designed in this paper.

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基于区间观测器的砌体机器人机械臂执行机构故障检测
建筑墙体的主要施工方法是人工砌筑,主要问题是该工艺施工效率低,安全性差,工人容易从高空坠落。自动砌体机器人的研究已成为迫切需要。砌体机械臂系统是砌体机器人的主要执行部分,对机器人故障要特别注意。因此,有必要建立合适的模型来检测机械手系统的执行机构故障。本文建立了机械臂故障的动力学模型,并基于该模型提出了砌体机器人机械臂故障检测方案。通过分析机器人砌筑过程中各节点的状态参数,对模型进行简化,并基于所建立的执行器故障数学模型,设计了具有更大设计自由度的区间观测器。本文提出了一种求解S和L矩阵的联合方法,避免了传统的两步求解L矩阵方法的局限性。在存在外界干扰的情况下,在残差区间的生成过程中引入1.1 ${l}_{1}$ / H∞${H}_{\infty }$性能,区间观测器具有较好的扰动鲁棒性和故障灵敏度。仿真实验验证了该方案能够有效检测机械手执行机构故障,并在6轴机械手上进行了实验。实验结果表明,当执行器在关节2和关节3处发生故障时,残差迅速超过阈值范围,证明了本文设计的故障检测方案的有效性。
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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来源期刊
Journal of Field Robotics
Journal of Field Robotics 工程技术-机器人学
CiteScore
15.00
自引率
3.60%
发文量
80
审稿时长
6 months
期刊介绍: The Journal of Field Robotics seeks to promote scholarly publications dealing with the fundamentals of robotics in unstructured and dynamic environments. The Journal focuses on experimental robotics and encourages publication of work that has both theoretical and practical significance.
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Issue Information Cover Image, Volume 41, Number 8, December 2024 Issue Information Issue Information A CIELAB fusion-based generative adversarial network for reliable sand–dust removal in open-pit mines
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