Robotic grinding of curved parts with two degrees of freedom active compliant force-controlled end-effector using decoupling control algorithm

IF 9.1 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Robotics and Computer-integrated Manufacturing Pub Date : 2024-12-23 DOI:10.1016/j.rcim.2024.102935
Haiqing Chen, Jixiang Yang, Han Ding
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Abstract

This paper proposes a novel two degrees of freedom (2-DOF) active compliant force-controlled end-effector (EE) using decoupling control algorithm to improve grinding efficiency, material removal accuracy, and surface quality of the curved parts for robotic grinding. First, a robotic grinding system is described, which consists of an industrial robot for tool-path control and a novel 2-DOF compliant EE to improve grinding efficiency and compliance. Second, the dynamic relationship between the friction coefficient and the normal force is established to develop an online prediction model for the normal force. The tangential tool tip displacement model is also established. A force-position decoupling control algorithm, which comprises force–position decoupling and fuzzy force–position switching controllers, is then proposed to improve the normal force and the tangential tool tip displacement control accuracy of the 2-DOF compliant EE. Finally, the developed methodology is validated through grinding experiments to confirm its effectiveness. The grinding results show that under the premise of ensuring the neglectable tangential tool tip displacement error to the original grinding process, the developed 2-DOF compliant EE with decoupling control demonstrates similar high force control accuracy and grinding depth accuracy to the 1-DOF compliant EE, and the machining efficiency is improved by approximately 30 % compared to that of the 1-DOF compliant EE. Compared with the traditional 2-DOF rigid EE using hybrid control, the normal force and tangential tool tip displacement control errors of the developed 2-DOF compliant EE with decoupling control are reduced by approximately 60 % and 33 %, respectively, and the overshoot is reduced from 30 % to almost 0. The developed 2-DOF compliant EE with decoupling control improves the grinding depth accuracy and surface quality compared to the traditional 2-DOF rigid EE with hybrid control.
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基于解耦控制算法的二自由度主动柔性末端执行器曲面零件机器人磨削研究
为了提高机器人磨削加工曲面零件的磨削效率、材料去除精度和表面质量,提出了一种采用解耦控制算法的二自由度主动柔性末端执行器。首先,介绍了一种机器人磨削系统,该系统由一个用于刀具轨迹控制的工业机器人和一个新型的2自由度柔性EE组成,以提高磨削效率和顺应性。其次,建立摩擦系数与法向力之间的动态关系,建立法向力在线预测模型;建立了切向刀尖位移模型。提出了一种由力-位置解耦和模糊力-位置切换控制器组成的力-位置解耦控制算法,以提高二自由度柔性机械臂的法向力和切向刀尖位移控制精度。最后,通过磨削实验验证了该方法的有效性。磨削结果表明,在保证刀尖切向位移误差对原磨削过程可忽略不计的前提下,采用解耦控制的二自由度柔性EE具有与一自由度柔性EE相似的高力控制精度和磨削深度精度,加工效率比一自由度柔性EE提高了约30%。与采用混合控制的传统2-DOF刚性EE相比,采用解耦控制的2-DOF柔性EE法向力和切向刀尖位移控制误差分别降低了约60%和33%,超调量从30%降至接近0。采用解耦控制的二自由度柔性EE与传统的混合控制的二自由度刚性EE相比,提高了磨削深度精度和表面质量。
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来源期刊
Robotics and Computer-integrated Manufacturing
Robotics and Computer-integrated Manufacturing 工程技术-工程:制造
CiteScore
24.10
自引率
13.50%
发文量
160
审稿时长
50 days
期刊介绍: The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.
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