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Modeling and Control of a 2-DoF Meso-Scale Continuum Robotic Tool for Pediatric Neurosurgery

机译:儿科神经外科2-DOF中型秤连续体机械工具的建模与控制

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This article introduces the analysis and control of a meso-scale two degree-of-freedom robotic endoscopic tool body for minimally invasive surgeries. The design of the robotic tool uses two types of a tendon-driven joint known as a bending flexure joint that allows us to control each degree-of-freedom by minimizing interjoint coupling by design. Pure kinematic modeling and control for these robots may not provide precise control performance due to kinematic uncertainties arising from tendon elongation, tendon slacking, gear backlash, etc. We propose a static model for each of the joints of the robotic tool that avoids several of these problems. Depending on the direction of tendon tension application, the proximal joint displays considerable hysteresis due to the superelastic material characteristics and this is included in our static model. The statics of a highly compliant distal joint is also modeled and validated using finite element analysis and experimental data. Using these models, we develop a control system that comprises of a disturbance observer and the proposed static model to provide precise force control and compensate for joint hysteresis.
机译:本文介绍了用于微创手术的中间型自由度机器人的分析和控制。机器人工具的设计使用了两种类型的肌腱驱动的关节,称为弯曲弯曲接头,其允许我们通过通过设计最小化互相耦合来控制各自的自由度。对于这些机器人的纯运动建模和控制可能不会提供精确的控制性能,由于肌腱伸长,肌腱储物,齿轮间隙等引起的运动不确定性。我们为避免其中几个的机器人工具的每个关节提出了一种静态模型问题。根据肌腱张力应用的方向,近端接头由于超弹性材料特性而显示相当大的滞后,并且这包括在我们的静态模型中。使用有限元分析和实验数据,还建模和验证了高度柔顺远端关节的静态数据。使用这些模型,我们开发一种控制系统,该控制系统包括干扰观察者和所提出的静态模型,以提供精确的力控制并补偿联合滞后。

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