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Tolerance design of manipulator parameters using design of experiment approach

机译:利用实验方法设计机械臂参数公差

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A robotic arm must manipulate objects with high accuracy and repeatability to perform precise tasks. There are many factors that cause variations in performance and they referred as noise factors. A probabilistic approach has been used to model the effects of noise factors and an experimental design technique has been adopted to select optimal tolerance of kinematic and dynamic parameters for minimal performance variations. The control and noise factor arrays are employed to identify statistically significant parameters and their interactions. The performance measures like signal to noise ratio and reliability have been utilized and results are validated by Monte Carlo simulations. The proposed design of experiment methodology requires minimal computations. The tolerance design methodology of manipulator is illustrated by 2-DOF revolute–revolute planar manipulator following cubic and quintic trajectory to perform a task. The statistical analysis of simulated performances is carried out using analysis of variance technique, which showed that statistically significant parameters are independent of trajectory. The individual parameter tolerance sensitivity has also been carried out.
机译:机械臂必须以高精度和可重复性操纵对象以执行精确的任务。有许多因素会导致性能变化,它们被称为噪声因素。一种概率方法已被用来对噪声因素的影响进行建模,并且已采用一种实验设计技术来选择运动学和动态参数的最佳公差,以使性能变化最小。控制和噪声因子阵列用于识别统计上重要的参数及其相互作用。已经使用了诸如信噪比和可靠性之类的性能指标,并通过蒙特卡洛仿真对结果进行了验证。建议的实验方法设计需要最少的计算。机械手的公差设计方法由遵循二维和五边形轨迹执行任务的2-DOF旋转-旋转平面机械手来说明。使用方差分析技术对模拟性能进行统计分析,这表明统计上重要的参数与轨迹无关。各个参数的公差灵敏度也已执行。

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