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Research on layout and operational pose optimization of robot grinding system based on optimal stiffness performance

机译:基于最佳刚度性能的机器人磨削系统布局与作业姿态优化研究

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In a robot grinding system, the change of the robot's pose affects the overall stiffness of the whole machining system, which indirectly leads to the irregularity of the grinding surface. For this purpose, we propose a method to enhance the stiffness of the robot. The robot grinding system layout is usually based on the experience of the designer without any quantitative selection criteria. With the introduction of the stiffness performance evaluation index, we decouple the stiffness-couple relationship between the robot pose and layout of the robot system and calculate the value of the stiffness index for evaluating the performance of each layout point as a quantization selection basis. Using Rayleigh quotient as the stiffness performance evaluation index for the manipulator, we obtain a relationship between the stiffness performance and the installation position of the grinding tool. Based on the chosen layout point, we proposed the length of the semi axis along the direction of the grinding force in the stiffness ellipsoid as the optimization objective and obtain the optimal configuration in the entire processing workspace through a genetic algorithm method. Theoretical and numerical simulation is presented to demonstrate the effectiveness of the proposed approach. The results demonstrate that the optimization improves the stiffness performance significantly.
机译:在机器人磨削系统中,机器人姿势的变化会影响整个加工系统的整体刚度,从而间接导致磨削表面不规则。为此,我们提出了一种增强机器人刚度的方法。机器人磨削系统的布局通常基于设计人员的经验,没有任何定量选择标准。通过引入刚度性能评估指标,我们将机器人姿势与机器人系统布局之间的刚度耦合关系解耦,并计算刚度指标的值,以评估每个布局点的性能,以此作为量化选择的基础。使用瑞利商作为机械手的刚度性能评估指标,我们获得了刚度性能与研磨工具的安装位置之间的关系。基于选择的布局点,我们提出了沿刚度椭球中磨削力方向的半轴长度作为优化目标,并通过遗传算法方法获得了整个加工空间的最优配置。进行了理论和数值模拟,以证明该方法的有效性。结果表明,优化可以显着提高刚度性能。

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