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Parameter Estimation for Multibody System Dynamic Model of Delta Robot From Experimental Data

机译:实验数据中Δ机器人多体系系统动态模型的参数估计

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Delta robot is a type of parallel systems which has a complex nonlinear structure suitable to apply different mathematical algorithms. In recent years, researchers have been focused on the parameter estimation of a nonlinear mechanical system to compute optimal system parameters. However, few researchers tried to evolve the delta robots in such a system. In this contribution, we present a procedure for parameters estimation in multibody system model of the delta robot system. Firstly, the multibody model of the delta robot is formulated using Lagrange formulation. Then, the Matlab Simscape Toolbox is used to construct and verify the multibody model. Finally, a parameter estimation module is used to estimate optimal parameters by comparing the simulated model output with experimental measured data. The type of delta robot used in this study is D3S-800 and utilized for the multibody model validation. Detailed experimental results show that the modeled system is validated, which provides a reference for the dynamic optimal design of a delta robot system.
机译:Delta Robot是一种平行系统,具有适合应用不同数学算法的复杂非线性结构。近年来,研究人员一直专注于非线性机械系统的参数估计,以计算最佳系统参数。然而,很少有研究人员试图在这样的系统中发展达达机器人。在这一贡献中,我们介绍了Delta机器人系统的多体系统模型中的参数估计程序。首先,使用拉格朗日配方制定了Delta机器人的多体模型。然后,Matlab Simscape Toolbox用于构建和验证多体模型。最后,参数估计模块用于通过使用实验测量数据进行比较模拟模型输出来估计最佳参数。本研究中使用的Delta机器人的类型是D3S-800,用于多体模型验证。详细的实验结果表明,建模系统验证,为Delta机器人系统的动态最佳设计提供了参考。

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