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Cooperative robotic system for handling a geometrically unknown object

机译:用于处理几何未知物体的协作机器人系统

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The current paper presents a new approach for cooperative control of a robotic system for grasping and handling an object with unknown geometry. The robotic system consists of three Cartesian robots with three degrees of freedom. The unknown object is approximately represented by three two-degrees-of-freedom virtual links of unknown length. Considering each of the virtual links as part of the corresponding robot, three five-degrees-of-freedom robots result that coordinate with each other as a closed kinematic chain. To cope with the kinematic uncertainty of the object, an adaptive algorithm consisting of a kinematic adaptation law is developed herein. For designing the controller, the dynamic equations of motion are transformed from joint space to the object space. In other words, the system dynamic is decoupled into a locked system and a shaped system. A proportional-derivative controller and a proportional-integral-derivative controller are developed for the shaped and locked systems, respectively. The object is modelled in the SimMechanics toolbox of MATLAB, and the controllers are simulated in the Simulink environment. Simulation results show that the proposed kinematic adaptation law together with the control system gives good performance for the cooperative system.
机译:当前的论文提出了一种新的协同控制机器人系统的方法,用于抓取和处理几何形状未知的物体。该机器人系统由三个具有三个自由度的笛卡尔机器人组成。未知对象大约由三个未知长度的两自由度虚拟链接表示。将每个虚拟链接视为相应机械手的一部分,将产生三个五个自由度机械手,它们相互协作,形成闭合运动链。为了应对对象的运动学不确定性,本文开发了一种由运动学适应定律组成的自适应算法。为了设计控制器,将运动的动态方程从关节空间转换为对象空间。换句话说,系统动态分解为锁定系统和成形系统。分别针对成形和锁定系统开发了比例微分控制器和比例积分微分控制器。在MATLAB的SimMechanics工具箱中对对象进行建模,并在Simulink环境中对控制器进行仿真。仿真结果表明,所提出的运动学自适应律与控制系统一起为协同系统提供了良好的性能。

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