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Towards fused vision and force robust feedback control of nanorobotic-based manipulation and grasping

机译:朝着融合视觉和基于纳米机器人的操纵和抓握力的鲁棒反馈控制

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This paper presents the design and development of a fused vision force feedback robust controller for a nanomanipulator used in nanofiber grasping and nano-fabric production applications. The RRP (revolute revolute prismatic) nanomanipulator considered here utilizes two rotational motors with 0.1 urad resolution and one linear Nanomotor with 0.25 nm resolution. The nanomanipulator is capable of achieving well-behaved kinematic and backlash-free characteristics in addition to atomic scale precision to guarantee accurate manipulation at the nanoscale. A mathematical model of the nanomanipulator is formulated, along with direct and inverse kinematics and dynamic equations of the system. Unlike typical macroscale manipulator models and controllers, the controller development is not trivial due to nanoscale movement and forces, coupled with unmodeled dynamics, nonlinear structural dynamics and mainly the lack of position and velocity feedbacks in this particular nanomanipulator. Utilizing pure vision feedback to acquire nanomanipulator's tip position is shown to have limited capabilities in achieving the desired control accuracy. To remedy this, a controlled fusion of visual servoing and force feedbacks for nanomanipulator positioning is proposed and analyzed extensively. Following the development of the controller, numerical simulations with generic feedback using a realistic scenario with fused vision and force feedbacks are presented to demonstrate the positioning performance capability in the nanomanipulation applications considered here.
机译:本文介绍了用于纳米纤维抓紧和纳米织物生产应用中的纳米操纵器的融合视觉力反馈鲁棒控制器的设计和开发。这里考虑的RRP(旋转旋转棱柱形)纳米操纵器利用两个具有0.1 urad分辨率的旋转电动机和一个具有0.25 nm分辨率的线性纳米电动机。除了原子级精度外,纳米操纵器还能够实现良好的运动学特性和无反冲特性,以确保在纳米级进行精确操纵。建立了纳米操纵器的数学模型,以及系统的正向和反向运动学和动态方程。与典型的大型机械手模型和控制器不同,由于纳米级运动和力,加上未建模的动力学,非线性结构动力学以及主要是在此特定纳米机械手中缺少位置和速度反馈,因此控制器的发展并非微不足道。使用纯视觉反馈来获取纳米操纵器的尖端位置显示出在实现所需控制精度方面的能力有限。为了解决这个问题,提出并广泛地分析了视觉伺服和力反馈在纳米操纵器定位中的受控融合。随着控制器的发展,提出了使用具有真实感和融合视觉和力反馈的真实情况进行通用反馈的数值模拟,以证明此处考虑的纳米处理应用中的定位性能。

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