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Behaviour of augmented Lagrangian and Hamiltonian methods for multibody dynamics in the proximity of singular configurations

机译:奇异构型附近多体动力学的增强拉格朗日和哈密顿方法的行为

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摘要

Augmented Lagrangian methods represent an efficient way to carry out the forward-dynamics simulation of mechanical systems. These algorithms introduce the constraint forces in the dynamic equations of the system through a set of multipliers. While most of these formalisms were obtained using Lagrange's equations as starting point, a number of them have been derived from Hamilton's canonical equations. Besides being efficient, they are generally considered to be robust, which makes them especially suitable for the simulation of systems with discontinuities and impacts. In this work, we have focused on the simulation of mechanical assemblies that undergo singular configurations. First, some sources of numerical difficulties in the proximity of singular configurations were identified and discussed. Afterwards, several augmented Lagrangian and Hamiltonian formulations were compared in terms of their robustness during the forward-dynamics simulation of two benchmark problems. Newton-Raphson iterative schemes were developed for these formulations with the Newmark formula as numerical integrator. These outperformed fixed point iteration approaches in terms of robustness and efficiency. The effect of the formulation parameters on simulation performance was also assessed.
机译:增强拉格朗日方法代表了对机械系统进行前向动力学仿真的有效方法。这些算法通过一组乘数将约束力引入系统的动态方程中。尽管大多数形式主义都是以拉格朗日方程为起点而获得的,但其中许多是从汉密尔顿的正则方程推导出来的。除了效率高之外,它们通常被认为是健壮的,这使得它们特别适合于模拟具有不连续性和冲击的系统。在这项工作中,我们集中于模拟经历单一配置的机械组件。首先,确定并讨论了奇异构型附近数值困难的一些来源。然后,在对两个基准问题进行正向动力学模拟时,比较了几种增广的拉格朗日和汉密尔顿公式的鲁棒性。针对这些公式开发了牛顿-拉夫逊迭代方案,并以Newmark公式作为数值积分器。在鲁棒性和效率方面,这些性能优于定点迭代方法。还评估了配方参数对模拟性能的影响。

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