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Design of hybrid visual servo control system of mechanical arm based on image and position

机译:基于图像和位置的机械臂混合视觉伺服控制系统设计

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There are two kinds of common visual servo control systems about mechanical arm. One is the position-based visual servo system, and the other is the image-based visual servo system. The precision of the first kind is influenced by the environment easily. And the depth information of the second one is difficult to estimate. A hybrid visual servo control system of mechanical arm based on image and position is proposed in the paper. The mechanical arm with six degrees of freedom and eye-in-hand configuration are used to control. Ultrasonic module is used to measure the distance from the mechanical claw to the target. The whole mechanical arm is divided into three directions to control including horizontal rotation, vertical swing and depth contraction. The horizontal rotation and vertical swing rely on the image-based visual servo system to control and the depth contraction relies on the position-based visual servo system to control. Upon applying the PD controller to the control, the system has a good stability. The experimental results convey that hybrid visual servo control system of mechanical arm can capture moving objects accurately and has strong stability.
机译:关于机械臂,有两种常见的视觉伺服控制系统。一种是基于位置的视觉伺服系统,另一种是基于图像的视觉伺服系统。第一类的精度容易受到环境的影响。并且第二个深度信息难以估计。提出了一种基于图像和位置的机械臂混合视觉伺服控制系统。具有六个自由度和手眼结构的机械臂用于控制。超声波模块用于测量从机械爪到目标的距离。整个机械臂分为三个方向进行控制,包括水平旋转,垂直摆动和深度收缩。水平旋转和垂直摆动依赖于基于图像的视觉伺服系统进行控制,深度收缩依赖于基于位置的视觉伺服系统进行控制。将PD控制器应用于控制系统后,系统具有良好的稳定性。实验结果表明,机械臂的混合视觉伺服控制系统能够准确地捕获运动物体,并且具有很强的稳定性。

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