考虑输入耦合效应和双边约束扭转的空间三自由度柔顺微动并联机构运动学建模

IF 1.9 4区 计算机科学 Q3 ENGINEERING, INDUSTRIAL Industrial Robot-The International Journal of Robotics Research and Application Pub Date : 2022-11-09 DOI:10.1108/ir-06-2022-0146
Zhicheng Song, Xiang Li, Xiaolong Yang, Yao Li, Linkang Wang, Hongtao Wu
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引用次数: 1

摘要

为了提高空间三自由度柔顺微动并联机构的运动学建模精度,提出了一种基于结构矩阵法(SMM)的改进建模方法。设计方法分析了圆形缺口铰受双边约束扭转影响而不再适用扭转柔度方程的问题。引入相对长度系数对扭转柔度方程进行了修正。在运动学建模中考虑了常被忽略的输入耦合效应。得到了输入耦合矩阵的符号表达式。理论、仿真和实验证明了所提出的运动学模型的有效性。通过理论、有限元法和实验方法的比较,结果表明所提出的运动学模型可以提高建模精度。本文为CMPM运动学建模提供了一种可行的方案。今后可以更好地应用于基于运动学模型的优化设计。
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Kinematic modeling of a spatial three degrees-of-freedom compliant micro-motion parallel mechanism considering input coupling effect and bilateral restrained torsion
Purpose This paper aims to improve the kinematic modeling accuracy of a spatial three-degrees-of-freedom compliant micro-motion parallel mechanism by proposing a modified modeling method based on the structural matrix method (SMM). Design/methodology/approach This paper analyzes the problem that the torsional compliance equation of the circular notched hinge is no longer applicable because it is subject to bilateral restrained torsion. The torsional compliance equation is modified by introducing the relative length coefficient. The input coupling effect, which is often neglected, is considered in kinematic modeling. The symbolic expression of the input coupling matrix is obtained. Theory, simulation and experimentation are presented to show the validity of the proposed kinematic model. Findings The results show that the proposed kinematics model can improve the modeling accuracy by comparing the theoretical, finite element method (FEM) and experimental method. Originality/value This work provides a feasible scheme for CMPM kinematics modeling. It can be better applied to the optimization design based on the kinematic model in the future.
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来源期刊
CiteScore
4.50
自引率
16.70%
发文量
86
审稿时长
5.7 months
期刊介绍: Industrial Robot publishes peer reviewed research articles, technology reviews and specially commissioned case studies. Each issue includes high quality content covering all aspects of robotic technology, and reflecting the most interesting and strategically important research and development activities from around the world. The journal’s policy of not publishing work that has only been tested in simulation means that only the very best and most practical research articles are included. This ensures that the material that is published has real relevance and value for commercial manufacturing and research organizations. Industrial Robot''s coverage includes, but is not restricted to: Automatic assembly Flexible manufacturing Programming optimisation Simulation and offline programming Service robots Autonomous robots Swarm intelligence Humanoid robots Prosthetics and exoskeletons Machine intelligence Military robots Underwater and aerial robots Cooperative robots Flexible grippers and tactile sensing Robot vision Teleoperation Mobile robots Search and rescue robots Robot welding Collision avoidance Robotic machining Surgical robots Call for Papers 2020 AI for Autonomous Unmanned Systems Agricultural Robot Brain-Computer Interfaces for Human-Robot Interaction Cooperative Robots Robots for Environmental Monitoring Rehabilitation Robots Wearable Robotics/Exoskeletons.
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