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A dynamic model based robot arm selection criterion

机译:基于动态模型的机器人手臂选择准则

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The selection of robot manipulator architecture, i.e. the determination of link lengths, their relative orientations, types of joints, e.g. revolute or prismatic, etc., has been largely done so far by experience, intuition and at most based on the kinematic considerations like workspace, manipulability, etc. Dynamics is generally ignored at this stage even though it is widely used for control and simulation. This paper attempts to introduce a criterion based on the dynamics of a robot manipulator, namely, simplicity of the associated generalized inertia matrix (GIM). Since the GIM influences both the control and simulation algorithms significantly, its fast computation and / or making its shape diagonal will certainly enhance the speed, precision, and stability of the robots. Two measures of simplicity, the computation complexity of the GIM in terms of floating point operations and the computer CPU time of an algorithm where the GIM appears, e. g., the inverse dynamics algorithm, are used here to evaluate a robot arm. The proposed criterion is illustrated with two - link robot arms with revolute and prismatic joints and compared with the two commonly used criteria, namely, the workspace, and manipulability. Finally, an example is taken to select an arm from the two spatial robot architectures, RTX and Stanford.
机译:机器人操纵器结构的选择,即确定连杆的长度,它们的相对方向,关节的类型,例如到目前为止,革命性的或棱柱形的等等,很大程度上是靠经验,直觉来完成的,并且最多是基于运动学上的考虑,例如工作空间,可操纵性等。在这一阶段,尽管动力学被广泛地用于控制和仿真,但通常还是被忽略了。本文试图介绍一种基于机器人操纵器动力学的准则,即相关联的广义惯性矩阵(GIM)的简单性。由于GIM会极大地影响控制和仿真算法,因此GIM的快速计算和/或使其形状为对角线肯定会提高机器人的速度,精度和稳定性。简单性的两种测量方法,即基于浮点运算的GIM的计算复杂度以及出现GIM的算法的计算机CPU时间,例如e。例如,逆动力学算法在这里用于评估机器人手臂。提出的标准通过带有旋转和棱柱形关节的两连杆机械臂进行了说明,并与两个常用标准(即工作空间和可操纵性)进行了比较。最后,以一个示例为例,从两种空间机器人架构RTX和Stanford中选择一条手臂。

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