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Friction-Inclusive Modeling of Sliding Contact Transmission Systems in Robotics

机译:机器人中滑动接触传动系统的摩擦包容性建模

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摘要

This article presents a unified mathematical approach for modeling, identifying, and solving the friction-inclusive dynamics of robotic mechanisms driven by sliding contact transmission systems. This approach is applied to the most common industrial screw-based drives: 1) the worm drive, 2) the simple lead screw drive, and 3) the antibacklash lead screw drive. The resulting dynamics, handily transferable to single and multiple degree of freedom (DoF) manipulators, are complemented with an algorithm for the solution of the forward dynamics problem as well as a framework for friction identification based on nonlinear optimization. The presented theory is experimentally tested on single-DoF screw-based drives for a variety of payloads and at different operation speeds. Simulation and parameter identification results using the classical Coulomb model, the Coulomb model with Stribeck friction, and the Armstrong model with Stribeck friction, rising static friction, and frictional memory are compared with experimental data, showcasing the effectiveness of the presented approach toward framing the concepts of friction and motion transmission into a robotics setting.
机译:本文介绍了通过滑动接触传动系统驱动的机器人机构的摩擦包容性动态的统一数学方法。这种方法适用于最常见的工业螺杆基驱动器:1)蜗杆驱动,2)简单的铅螺杆驱动,以及3)抗夹铅螺杆驱动。由此产生的动态,即时可转移到单一的单一和多程度的自由度(DOF)操纵器,用于解决前向动力学问题的算法以及基于非线性优化的摩擦识别框架。提出的理论在实验上测试了用于各种有效载荷的单DOF螺旋基驱动器和不同的操作速度。使用经典库仑模型的模拟和参数识别结果,与Stribeck摩擦的库仑模型,以及具有STRIBECK摩擦,静电摩擦上升和摩擦记忆的Armstrong模型与实验数据进行了比较,展示了所提出的方法对概念构成概念的有效性摩擦与运动传输到机器人设置。

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