Multibody Dynamics Integrated With Muscle Models and Space-Time Constraints for Optimization of Lifting Movements
Multibody Dynamics Integrated With Muscle Models and Space-Time Constraints for Optimization of Lifting Movements
复制标题
多体动力学与肌肉模型和时空约束相结合，用于优化提升运动
DOI：
10.1115/detc2005-85385
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发表时间：
2005
影响因子：
3.3
通讯作者：
K. Granata
中科院分区：
文献类型：
--
作者：
Cunjun Huang;P. Sheth;K. Granata
提出了一种基于时空约束优化的多体动力学模型，用于生成人体举升运动的最优轨迹。“时空约束”是一种两点边值动态优化技术，用于计算机图形角色的动画，并在生物力学和其他基于机械运动的动态优化问题中具有重要的潜力。优化结果表明，能够考虑不同的偏好，以尽量减少负载的特定关节，如脚踝，或膝盖，或肩膀在升降运动和由此产生的升降轨迹是不同的。集中肌肉模型，以产生关节扭矩被纳入在五个关节的肌肉系统的动态运动过程中的致动效果建模。然后，动态优化是基于肌肉激活参数，而不是传统上使用的关节扭矩。肌肉激活模型优化显示出与由VICON视频捕获和测试数据分析系统进行的实际运动测试更好地相关。
A multibody dynamics model integrated with space-time constraints based optimization is presented in this paper for generating optimal trajectories of human lifting movements. “Space-time constraints” is a two-point boundary value dynamic optimization technique developed for animation of computer graphics characters and has a significant potential for biomechanics and other mechanical movement based dynamic optimization problems. Optimization results demonstrate the ability to consider different preferences for minimizing the loading of specific joints such as an ankle, or a knee, or a shoulder during the lifting motion and the resulting lifting trajectories are shown to be different. Lumped muscle models to generate the joint torques are incorporated at five joints to model the actuation effects of the muscular system during the dynamic movement. The dynamic optimization is then based on the muscle activation parameters instead of the traditionally used joint torques. The muscle activation model optimization is shown to correlate better with the actual motion tests conducted by the VICON video capture and test data analysis system.Copyright © 2005 by ASME