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RECURSIVE COORDINATE REDUCTION: AN ADDENDUM

机译:递归坐标减少:附录

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This paper presents an addendum to the Recursive Coordinate Reduction (RCR) algorithm far the efficient numerical analysis and simulation of modest to heavily constrained multi-rigid-body dynamic systems. The RCR algorithm can accommodate the spatial motion of broad categories of multi-rigid-body systems containing arbitrarily many closed loops in O(n + m) operations overall for systems containing n generalized coordinates, and m independent algebraic constraints. The presented approach does not suffer from the performance (speed) penalty encountered by most other of the so-called "(n) " state-space formulations, and does not require additional constraint violation stabilization procedures (e.g. Baumgartes method, coordinate partitioning, etc.). Due to these characteristics, the presented algorithm should offer superior computing performance relative to other methods in many situations involving both large n and m. This paper will specifically address an unpublished recursive step in the handling of "floating" loop base bodies, as well as present an extension to "spur" topologies.
机译:本文介绍了递归坐标缩减(RCR)算法的补充内容,以对中度到重度约束的多刚体动力学系统进行有效的数值分析和仿真。对于包含n个广义坐标和m个独立代数约束的系统,RCR算法可以适应多种大刚体系统的空间运动,该系统在O(n + m)个运算中总体上包含任意多个闭环。所提出的方法不会遭受大多数其他所谓的“(n)”状态空间公式所遇到的性能(速度)损失,并且不需要其他约束违反稳定程序(例如,Baumgartes方法,坐标分区等) )。由于这些特性,在涉及大n和m的许多情况下,相对于其他方法,所提出的算法应提供出色的计算性能。本文将专门介绍处理“浮动”循环基体时未公开的递归步骤,并提出对“杂散”拓扑的扩展。

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