使用数量有限的电流传感器,对铣削机器人主体结构进行仅输出的完整模式形状识别

IF 4.6 2区 工程技术 Q2 ENGINEERING, MANUFACTURING CIRP Journal of Manufacturing Science and Technology Pub Date : 2024-07-13 DOI:10.1016/j.cirpj.2024.06.014
Xinyong Mao , Yi Chen , Tao Ma , Juntong Guo , Xing Yuan , Nan Jiang , Yanyan Xu , Lei Zhang , Xiaowei Tang , Yili Peng
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引用次数: 0

摘要

与机床相比,铣削机器人具有工作空间大、灵活性高的优势,更适合加工大型复杂表面。但是,机器人的刚度明显低于机床,更容易产生颤振。与机床相比,机器人主要发生模式耦合颤振。由于机器人手臂高度灵活,其位置取决于姿势,因此分析机器人的颤振是一项巨大的挑战。模式耦合颤振是由机器人铣削系统中最灵活、最主要的结构模式引起的。现有的方法无法确定铣削机器人在实际工作状态下所有姿势的结构模态参数。本文提出了一种机器人模态分析方法,可实现铣削机器人姿态的自动遍历和模态参数的自动识别。本文通过分析机器人多关节柔性特征、空间结构特征和加工振动特征,关联关节电机控制系统和电流功率特征,找到电流信息与振动信息的关联性,并通过电流信号识别模态频率,实现整个工作空间的模态频率识别。该方法能够只输出完整的模态振型识别,能快速分析主要振动模态,对研究机器人铣削颤振具有重要意义。
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Output-only complete mode shape identification of milling robot body structures using a limited number of current sensors

Milling robots have the advantage of large workspace and high flexibility compared to machine tools, and are more suitable for machining large and complex surfaces. However, the stiffness of robots is significantly lower than that of machine tools, and they are more prone to chattering. Compared to machine tools, robots mainly occur mode coupling chatter. Analyzing chatter in robots is a great challenge due to the highly flexible and pose-dependent position of the robotic arm. Mode coupling chatter is caused by the most flexible and dominant structural modes of the robot milling system. Available methods are unable to identify the structural modal parameters of a milling robot at all poses in the actual working state. This paper proposes a modal analysis method for robots, which can realize the automatic traversal of the pose of the milling robot and the automatic identification of modal parameters. This paper analyzes the robot multi-joint flexibility characteristics, spatial structure characteristics, and machining vibration characteristics, correlates the joint motor control system and current power characteristics, finds the correlation between the current information and the vibration information, and identifies the modal frequency through the current signals, and realizes the modal frequency identification in the entire workspace. This method is capable of output-only complete mode shape identification, can quickly analyze the main vibration modes, and is of great significance for the study of robot milling chattering.

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来源期刊
CIRP Journal of Manufacturing Science and Technology
CIRP Journal of Manufacturing Science and Technology Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
6.20%
发文量
166
审稿时长
63 days
期刊介绍: The CIRP Journal of Manufacturing Science and Technology (CIRP-JMST) publishes fundamental papers on manufacturing processes, production equipment and automation, product design, manufacturing systems and production organisations up to the level of the production networks, including all the related technical, human and economic factors. Preference is given to contributions describing research results whose feasibility has been demonstrated either in a laboratory or in the industrial praxis. Case studies and review papers on specific issues in manufacturing science and technology are equally encouraged.
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