Research of a two parallel robots cooperation system

Wu Zhiheng, Chen Bai, Jiang Surong, Jiang Meng, Xiong Wanqiang
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引用次数: 0

Abstract

The two robots cooperation system has been widely used across the robotic research field with many effective cooperation control strategies. In this paper, a novel two parallel robots cooperation system which can handle objects with large volume and heavy weight is developed by optimizing the traditional Cartesian parallel mechanism (CPM). Forward and inverse kinematics of the improved CPM-based parallel robot and the kinematic constraint of the two robots are derived. Moreover, the trajectories of two robots are planned based on the established kinematic models. An iterative learning control strategy is developed to control the driving torques in the robot joint space. Finally, the model of the system is established via SimMechanics and simulated in Matlab environment. The simulation results verify the effectiveness of the proposed robot system and control algorithm.
两个并联机器人协作系统的研究
两机器人协作系统具有许多有效的协作控制策略,在机器人研究领域得到了广泛的应用。本文通过对传统的笛卡尔并联机构(CPM)进行优化,开发了一种能够处理大体积、重质量物体的新型两并联机器人协作系统。推导了改进的基于cpm的并联机器人的正运动学和逆运动学以及两机器人的运动学约束。此外,基于所建立的运动学模型,对两个机器人的运动轨迹进行了规划。提出了一种迭代学习控制策略来控制机器人关节空间的驱动力矩。最后,利用SimMechanics软件建立了系统的模型,并在Matlab环境下进行了仿真。仿真结果验证了所提出的机器人系统和控制算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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