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Optimum Design of a 3R Robot with a Parallelogram Five-Bar Mechanism for Dexterous Workspace by Using Metaheuristic Algorithm

机译:基于启发式算法的灵巧工作空间平行四杠五连杆机构3R机器人的优化设计

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The kinematic design of a machine or mechanism is an important stage in the design methodology. A dexterous workspace for a robot manipulator is a outstanding characteristic that must be considered in the kinematic design, because it permit to reach the points of the workspace with different orientation. With this objective in mind, an optimization problem is formulated. A defined dexterous workspace is taken as an objective function. The design variables are lengths of the links and the angles of the links. The no collision between links are included as constraints. This paper describes the use of metaheuristic optimization techniques such as differential evolution (DE) to solve the above problem. A mechanism is incorporated in the DE algorithm in order to improve its behavior. This mechanism incorporates information of the base and the difference vectors of good trial vector, in an attempt to generate better individuals in the same direction. This mechanism guides the evolution of the population toward a better zone without sacrificing the search capabilities of the DE algorithm. The design of a robot with three revolute joints (3R robot) is considered as a numerical example.
机译:机器或机构的运动学设计是设计方法学中的重要阶段。机器人操纵器的灵巧工作空间是运动设计中必须考虑的突出特征,因为它允许以不同方向到达工作空间的各个点。考虑到这一目标,提出了优化问题。定义的灵巧工作空间被视为目标函数。设计变量是链节的长度和链节的角度。链接之间的无冲突作为约束包括在内。本文介绍了使用元启发式优化技术(例如差分进化(DE))来解决上述问题。在DE算法中并入了一种机制,以改善其行为。该机制结合了良好试验向量的基础和差异向量的信息,以尝试在相同方向上产生更好的个体。这种机制在不牺牲DE算法的搜索能力的情况下,将种群的进化引向了一个更好的区域。一个具有三个旋转关节的机器人(3R机器人)的设计被视为一个数值示例。

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