直线驱动型并联机器人误差模型与灵敏度分析
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国家自然科学基金项目(51375507)和重庆市基础与前沿研究计划项目(cstc2016jcyjA0253)


Error Modeling and Sensitivity Analysis of Linear Driven Parallel Robot
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    摘要:

    为提高直线驱动型并联机器人动平台末端执行器位置精度,根据并联机构结构和运动学模型,对影响末端位置精度的各项误差源进行了分析,利用解析法建立动平台末端操作空间与关节空间之间的误差映射模型;在灵敏度误差模型的基础上,依据全域灵敏度评价指标,提出了一种误差源筛选方案,筛选影响位置精度的主要误差源,利用蒙特卡洛法随机模拟并联机器人中各零部件的尺寸误差、驱动误差和装配误差,得知筛选前后动平台位置误差基本一致,验证了评价指标的正确性。以激光跟踪仪为测量工具在任务空间中取点测量,对筛选后的主要误差源进行辨识,修正并联机构的正向运动学模型后,并联机构末端位置精度改善显著,验证了误差源筛选方案的有效性和可行性,减轻了误差参数辨识的复杂程度和计算量,对结构较复杂的机构误差补偿具有一定的指导意义。

    Abstract:

    In order to improve the position precision of moving platform end effector of linear driven parallel robot, based on structure and kinematic model of parallel mechanism, the dimension errors, driving errors and assembly errors of parallel robot which influenced accuracy of the moving platform end effector were analyzed, the non-linear mapping from the actuated variables in joint space to the pose of the end-effector in operating space was established with analytic method. On the basis of the sensitivity error model, an error source selection scheme was proposed according to the global sensitivity evaluation index, which was defined to evaluate the error source on the position error of the moving platform in given workspace, and the main error sources that affected the location accuracy was selected. It was found that the position error of the moving platform was basically the same between all error sources and selected error sources by randomly simulating the dimension errors, driving errors and assembly errors of the parallel robot with Monte Carlo method, which verified the consistency of the evaluation index. By taking laser tracker as measurement tool, the position precision of the moving platform end effector of the parallel mechanism was improved remarkably after detecting the selected main errors of the parallel robot and calibrating the forward kinematic model,which verified the validity and feasibility of the error source selection scheme and reduced the complexity and computation of the error parameter identification. It had greatly important guidance to the error compensation of the complex structure.

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于今,余伟,吴超宇,程敏,钱小吾.直线驱动型并联机器人误差模型与灵敏度分析[J].农业机械学报,2017,48(7):383-390. YU Jin, YU Wei, WU Chaoyu, CHENG Min, QIAN Xiaowu. Error Modeling and Sensitivity Analysis of Linear Driven Parallel Robot[J]. Transactions of the Chinese Society for Agricultural Machinery,2017,48(7):383-390.

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  • 收稿日期:2017-04-21
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  • 在线发布日期: 2017-07-10
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