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首页> 外文期刊>International Journal of Advanced Robotic Systems >Geometrical Derivation of Differential Kinematics to Calibrate Model Parameters of Flexible Manipulator
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Geometrical Derivation of Differential Kinematics to Calibrate Model Parameters of Flexible Manipulator

机译:微分运动学的几何推导来校正柔性机械臂的模型参数

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摘要

In this paper differential kinematics was geometrically derived to be utilized in a calibration algorithm that improves the accuracy of the manipulation of a robot. Even though the mechanical components are manufactured and assembled precisely, small differences between the designed and the actual system always exist, due to both geometric and unmodelled errors. In order to resolve these problems, differential relationships between the model parameters and the end-effector's posture were formulated. Subsequently, a derivative based estimation algorithm, such as an EKF (Extended Kalman Filter) manner, could be adopted to update the model parameters. The proposed algorithm includes joint flexibility, so is an advanced version of previous work, where a rigid joint model was adopted [1]. The effectiveness of the proposed algorithm was verified by a computer simulation with a 6 DOF manipulator robot.
机译:在本文中,从几何学上推导了差分运动学,以将其用于可提高机器人操纵精度的校准算法中。即使机械零件的制造和组装都是精确的,但由于几何误差和非模型误差,在设计系统和实际系统之间始终存在微小差异。为了解决这些问题,制定了模型参数与末端执行器姿势之间的微分关系。随后,可以采用基于导数的估计算法,例如EKF(扩展卡尔曼滤波器)方式来更新模型参数。所提出的算法包括关节柔性,因此是先前工作的高级版本,其中采用了刚性关节模型[1]。通过六自由度机械手机器人的计算机仿真验证了所提算法的有效性。

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