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Research on method of serial robot relative position correction

机译:串行机器人相对位置校正方法的研究

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For the problem of serial robot structure error, method of relative position correction was researched. An adaptive filtering correction method based on robot joint position feedback was proposed. The method built a robot joint adaptive filtering corrector( AFC) to correct robot joint feedback. The real spatial position of robot end-effector can be got through the forward kinematics computation with the corrected joint feedback. Thus, the robot structure error is corrected. Weights matrices of AFC were trained with relative positions between calibration points on the standard calibration module. The proposed method of relative positions correction provides a new way for serial robot structure error correction, which does not directly modify the robot kinematics design parameters, dose not need measuring equipment, and can be applied in field. The simulation results got with LabVIEW robot module show that the corrected trajectory of robot end-effector is more approaching to its true trajectory than before, which means the robot structure error is effectively corrected.
机译:对于串行机器人结构误差的问题,研究了相对位置校正的方法。提出了一种基于机器人关节位置反馈的自适应滤波校正方法。该方法内置了一个机器人联合自适应滤波校正器(AFC),以纠正机器人联合反馈。机器人末端执行器的实际空间位置可以通过具有校正的关节反馈的前向运动学计算来实现。因此,校正机器人结构误差。使用标准校准模块上的校准点之间的相对位置培训AFC的权重矩阵。所提出的相对位置校正方法为串行机器人结构误差校正提供了一种新的方式,这不直接修改机器人运动学设计参数,剂量不需要测量设备,并且可以应用于现场。使用LabVIEW机器人模块的仿真结果表明,机器人末端执行器的校正轨迹比以前更接近其真正的轨迹,这意味着机器人结构误差得到有效地校正。

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