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Multi-objective optimal design of flexible-joint parallel robot

机译:柔性关节并联机器人的多目标优化设计

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摘要

Purpose - This paper aims to present the optimal design procedure of a symmetrical 2-DOF parallel planar robot with flexible joints by considering several performance criteria based on the workspace size, dynamic dexterity and energy of the control.Design/methodology/approach - Consequently, the optimal design consists in determining the dimensional parameters to maximize the size of the workspace, maximize the dynamic dexterity and minimize the energy of the control action. The design criteria are derived from the kinematics, dynamics, elastodynamics and the position control law of the robot. The analysis of the design criteria is performed by means of the design space and atlases.Findings - Finally, the multi-objective design optimization derived from the optimal design procedure is solved by using multi-objective genetic algorithms, and the results are analyzed to assess the validity of the proposed approach.Originality/value - An alternative approach to the design of a planar parallel robot with flexible joints that permits determining the structural parameters by considering kinematic, dynamic and control operational performance.
机译:目的-本文旨在通过考虑基于工作区大小,动态灵巧性和控件能量的几个性能标准,提出一种具有柔性关节的对称2自由度并联平面机器人的最佳设计程序。设计/方法/方法-因此,最佳设计包括确定尺寸参数以最大化工作空间的尺寸,最大化动态灵活性并最小化控制动作的能量。设计标准是从机器人的运动学,动力学,弹性动力学和位置控制定律得出的。发现-最后,使用多目标遗传算法解决了从最佳设计过程中得出的多目标设计优化问题,并对结果进行了评估,以评估结果。原始性/价值-一种具有柔性关节的平面并联机器人设计的替代方法,允许通过考虑运动学,动态和控制操作性能来确定结构参数。

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