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Kinematic Decoupling Analysis and Design of a Biomimetic Robotic Elbow Joint

机译:仿生机器人肘关节运动解耦分析与设计

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摘要

The research of a biomimetic robotic manipulator is based on the flexible characteristics of the human upper limb joint, and a biomimetic robotic elbow joint plays a very significant role in the kinematic control of the biomimetic robotic manipulator. Most robotic elbow joints encountered today have a common disadvantage of bad neutrality, low rotational capability, and poor biomimetics. To overcome some difficulties, this paper presents a novel biomimetic robotic elbow joint. The structural model of the elbow joint is described, and the position equation is solved. Secondly, the kinematic equation of the elbow joint is established, the kinematic decoupling performance evaluation index of the elbow joint is defined, the kinematic decoupling characteristics of the elbow joint are analyzed, and the kinematic decoupling performance map in the workspace is drawn. Thirdly, using the spatial model theory, the structural parameters of the elbow joint are optimized, the structural parameters are selected by the Monte Carlo method, and the novel biomimetic robotic elbow joint is designed. The analysis results showing the kinematic decoupling performance of the elbow joint are symmetrical and the kinematic decoupling performance decreases with the increase of the angle, and there is a good kinematic decoupling in the workspace of about 35% in the vicinity of the initial position. When the structural parameters of the elbow joint are Re1 = 90 mm, Re2 = 70 mm, and Re3 = 30 mm, the elbow joint has a very good kinematic decoupling. This paper can lay a foundation for further analysis and research of the biomimetic robotic elbow joint.
机译:仿生机器人操纵器的研究基于人体上肢关节的柔性特性,并且仿生机器人肘关节在仿生机器人操纵器的运动学控制中起着非常重要的作用。当今遇到的大多数机器人肘关节具有以下缺点:中性差,旋转能力低和仿生性差。为了克服一些困难,本文提出了一种新型的仿生机器人肘关节。描述了肘关节的结构模型,并求解了位置方程。其次,建立了肘关节的运动学方程,定义了肘关节的运动解耦性能评价指标,分析了肘关节的运动解耦特性,绘制了工作空间内的运动解耦性能图。第三,利用空间模型理论,优化了肘关节的结构参数,采用蒙特卡洛方法选择了结构参数,设计了新型仿生机器人肘关节。分析结果表明,肘关节的运动解耦性能是对称的,并且运动解耦性能随角度的增加而降低,并且在工作空间中,初始位置附近的运动解耦性良好,约为35%。当肘关节的结构参数为Re1 = 90?mm,Re2 = 70?mm和Re3 = 30?mm时,肘关节的运动学解耦效果非常好。为仿生机器人肘关节的进一步分析和研究奠定基础。

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