中性粒细胞理论在虚拟LabVIEW机器人关节加速度多目标优化中的应用

A. Olaru, S. Olaru, Niculae Mihai, N. Šmídová
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引用次数: 4

摘要

关节的角加速度和线加速度的分析是机器人运动学与动力学中最重要的问题之一。由于机器人身体的运动是在三维空间中进行的,因此数学算法必须以复矩阵形式书写。本文给出了在某些情况下,关节中梯形亲属的速度特征如何决定三维空间中加速度矢量的变化。这些角加速度和线加速度变化的最大值影响力矩和力的变化。利用中性粒细胞理论和虚拟LabVIEW仪器进行分析。在一些文献中,描述了一些辅助加速度分析的方法,没有给出所用的数学模型,没有对必须避免的情况进行关键分析,最后没有给研究者一些结论。本文展示了辅助研究使用的所有LabVIEW虚拟仪器(VI)。通过求解加速度的辅助研究,为机器人动力学行为的辅助研究开辟了道路,为机器人选择最优构造参数和功能参数(机构尺寸、同时运动、关节运动的连续或复杂构型、关节恒定相对速度的最优值等)以获得最小的力和力矩变化。本文给出的方法只解决了机器人运动学和动力学复杂问题的一小部分。
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Neutrosophic Theory Applied in the Multi Objectives Optimization of the Robot’s Joints Accelerations with the Virtual LabVIEW Instrumentation
One of the most important problem to solve in the robots Kinematics and Dynamics is analyze of the joint’s angular and linear accelerations. Because the movements of the robot’s bodies going in the 3D space, the mathematical algorithm must be written in the complex matrix form. The paper show how some cases of the trapezoidal relatives’ velocities characteristics in a joints determine the variation of the acceleration’s vectors in the 3D space. The maximal values of these variations of the angular and linear accelerations influence the variation of the moments and forces. The analyze was made by using the Neutrosophic theory and vitual LabVIEW instrumentation. In a literature are described some methods of the assisted analyze of the acceleration without show the used mathematical model, without one critical analyze of the cases that must be avoid and finally without some conclusions for the researchers. The paper shown all LabVIEW virtual instruments (VI) used for this assisted research. By solving the assisted research of the acceleration will be open the way to the assisted research of the robots’ dynamic behavior, to choose the optimal constructive and functional parameters (dimensions of the bodies, simultaneously, successive or complex configurations of the movements in the robot’s joints, optimal values of the constant relative joint’s velocities, etc.) of the robots to obtain the minimum variation of the forces and moments. The method that was shown in the paper solves one small part of the complex problems of the robot’s kinematics and dynamics.
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