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Modeling, design, and control of 6-DoF flexure-based parallel mechanisms for vibratory manipulation

机译:建模,设计和控制基于6自由度基于挠度的振动操纵并联机构

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摘要

Small amplitude periodic motion of a 6-degree-of-freedom (DoF) rigid plate causes rigid parts on the surface to slide under the influence of friction as if immersed in a configuration-dependent velocity field. A plate whose motion is fully programmable is therefore a simple yet versatile manipulator. To develop such a manipulator, this paper addresses the design and control of a 6-DoF parallel mechanism intended for small-amplitude, high frequency vibration. We derive a linear model for the class of parallel mechanisms consisting of a rigid plate coupled to linear actuators through flexures. Using this model, we discuss manipulator design geared toward either universal parts feeding or single task automation. The design process is formulated as a constrained optimization over a design space that includes the geometry of the manipulator (actuator orientations and flexure attachment points) and the viscoelastic properties of the flexures. Finally, we present a frequency-based iterative learning controller for tracking periodic plate acceleration trajectories in R~6 for all designs. Experimental data collected from our PPOD2 manipulator is used to validate the model and demonstrate the performance of the controller.
机译:6自由度(DoF)刚性板的小振幅周期性运动会导致表面上的刚性零件在摩擦的影响下滑动,就像浸入与构型有关的速度场中一样。因此,可以完全编程运动的板是一种简单而通用的操纵器。为了开发这种机械手,本文研究了用于小振幅,高频振动的6自由度并联机构的设计和控制。我们为一类并联机构推导了一个线性模型,该模型包括一个通过挠曲耦合到线性执行器的刚性板。使用该模型,我们讨论针对通用零件进给或单任务自动化的机械手设计。设计过程被公式化为对设计空间的约束优化,该设计空间包括机械手的几何形状(执行器方向和挠曲连接点)以及挠曲的粘弹性质。最后,针对所有设计,我们提出了一种基于频率的迭代学习控制器,用于跟踪R〜6中的周期性板加速度轨迹。从我们的PPOD2机械手收集的实验数据用于验证模型并演示控制器的性能。

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