首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Geometric Parameter Calibration for a Cable-Driven Parallel Robot Based on a Single One-Dimensional Laser Distance Sensor Measurement and Experimental Modeling
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Geometric Parameter Calibration for a Cable-Driven Parallel Robot Based on a Single One-Dimensional Laser Distance Sensor Measurement and Experimental Modeling

机译:基于一维激光距离传感器测量和实验建模的电缆并联机器人几何参数校准

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摘要

A cable-driven parallel robot has benefits of wide workspace, high payload, and high dynamic response owing to its light cable actuator utilization. For wide workspace applications, in particular, the body frame becomes large to cover the wide workspace that causes robot kinematic errors resulting from geometric uncertainty. However, appropriate sensors as well as inexpensive and easy calibration methods to measure the actual robot kinematic parameters are not currently available. Hence, we present a calibration sensor device and an auto-calibration methodology for the over-constrained cable-driven parallel robots using one-dimension laser distance sensors attached to the robot end-effector, to overcome the robot geometric uncertainty and to implement precise robot control. A novel calibration workflow with five phases—preparation, modeling, measuring, identification, and adjustment—is proposed. The proposed calibration algorithms cover the cable-driven parallel robot kinematics, as well as uncertainty modeling such as cable elongation and pulley kinematics. We performed extensive simulations and experiments to verify the performance of the suggested method using the MINI cable robot. The experimental results show that the kinematic parameters can be identified correctly with 0.92 mm accuracy, and the robot position control accuracy is increased by 58%. Finally, we verified that the developed calibration sensor devices and the calibration methodology are applicable to the massive-size cable-driven parallel robot system.
机译:电缆驱动的并行机器人由于其光缆致动器的利用而具有工作空间宽,有效载荷高和动态响应高的优点。特别是对于宽工作空间应用,车身框架会变大以覆盖宽工作空间,这会导致由于几何不确定性而导致机器人运动学错误。但是,目前尚没有合适的传感器以及便宜而简单的校准方法来测量实际的机器人运动学参数。因此,我们为超约束电缆驱动的并联机器人提供了一种校准传感器设备和一种自动校准方法,该机器人使用附着在机器人末端执行器上的一维激光距离传感器来克服机器人的几何不确定性并实现精确的机器人控制。提出了一种新颖的校准工作流程,包括五个阶段:准备,建模,测量,识别和调整。提出的校准算法涵盖了电缆驱动的并联机器人运动学以及不确定性模型,例如电缆伸长率和滑轮运动学。我们进行了广泛的仿真和实验,以验证使用MINI电缆机械手的建议方法的性能。实验结果表明,运动参数可以正确识别,精度为0.92 mm,机器人位置控制精度提高了58%。最后,我们验证了所开发的校准传感器设备和校准方法适用于大规模电缆驱动的并行机器人系统。

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