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Dynamics of serial multibody systems using the decoupled natural orthogonal complement matrices

机译:解耦自然正交互补矩阵的串联多体系统动力学

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Constrained dynamic equations of motion of serial multibody systems consisting of rigid bodies in a serial kinematic chain are derived in this paper. First, the Newton-Euler equations of motion of the decoupled rigid bodies of the system at handare written. Then, with the aid of the decoupled natural orthogonal complement (DeNOC) matrices associated with the velocity constraints of the connecting bodies, the Euler-Lagrange independent equations of motion are derived. The De NOC is essentiallythe decoupled form of the natural orthogonal complement (NOC) matrix, introduced elsewhere. Whereas the use of the latter provides recursive order n-n being the degrees-of-freedom of the system at hand-inverse dynamics and order n{sup}3 forward dynamicsalgorithms, respectively, the former leads to recursive order n algorithms for both the cases. The order n algorithms are desirable not only for their computational efficiency but also for their numerical stability, particularly, in forward dynamics andsimulation, where the system's accelerations are solved from the dynamic equations of motion and subsequently integrated numerically. The algorithms are illustrated with a three-link three-degrees-of-freedom planar manipulator and a six-degrees-of-freedom Stanford arm.
机译:本文推导了由串联运动链中的刚体组成的串联多体系统的运动约束动力学方程。首先,编写手边系统的解耦刚体的牛顿-欧拉运动方程。然后,借助与连接体的速度约束相关的解耦自然正交正交补码(DeNOC)矩阵,推导出与Euler-Lagrange独立的运动方程。 De NOC本质上是自然正交互补(NOC)矩阵的解耦形式,在其他地方引入。后者的使用提供递归阶数n-n是系统在手逆动力学上的自由度,而递阶阶数n {sup} 3个正向动力学算法,前者在两种情况下均导致了递归阶数n算法。 n阶算法不仅对于它们的计算效率而且对于它们的数值稳定性都是理想的,特别是在前向动力学和仿真中,其中从运动的动力学方程求解系统的加速度并随后进行数值积分。用三连杆三自由度平面操纵器和六自由度斯坦福臂说明了该算法。

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