首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers. Part K, Journal of Multi-body Dynamics >A simple controller to overcome the lack of correlation between forward and inverse dynamic analysis of human motion tasks
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A simple controller to overcome the lack of correlation between forward and inverse dynamic analysis of human motion tasks

机译:一个简单的控制器,可以克服人体运动任务的前向和反向动态分析之间缺乏相关性

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摘要

The majority of biomechanical analyses of human motions, including those with musculoskeletal models, use inverse dynamic approaches due to its ability to deal with experimentally acquired kinematic and kinetic data. Yet, a forward dynamic approach can be more powerful and provide better insights on the transmission of forces in the internal biomechanical systems and structures of the human body. Although both approaches may use the same biomechanical model the results achieved do not necessarily correlate with each other. The aim of this study is to demonstrate the source of the lack of correlation between inverse and forward dynamics methodologies providing, in the process, insights on how to overcome such differences. Two types of problems involving the biomechanics of the spatial human motion are used to evaluate the correlation between the forward and inverse dynamic approaches: a gait analysis of a deterministic biomechanical model of the lower limbs, and, a full musculoskeletal model of the upper limb, which is characterised by the solution of a redundant muscle force sharing problem. For that purpose, an inverse dynamic model is applied to estimate the forces responsible for two experimentally acquired motions that are, afterwards, given as input to the forward dynamics model, which is used, in turn, to compute the kinematics of the biomechanical model. The comparison between the reference kinematics, acquired experimentally, and that resulting from the forward dynamic analysis supports that a lack of correlation between the inverse and forward dynamic analysis is always observed. It is proposed here, and demonstrated, that a controller implemented in a feedback loop is able to enhance numerical stability of the forward dynamics solution, leading to the ability of the forward dynamics approach to successfully simulate the acquired motions.
机译:大多数人体运动的生物力学分析,包括具有肌肉骨骼模型的运动,都采用逆动态方法,因为它具有处理实验获得的运动学和动力学数据的能力。然而,向前的动态方法可能更强大,并且可以为人体内部生物力学系统和结构中的力传递提供更好的见解。尽管两种方法都可以使用相同的生物力学模型,但获得的结果不一定彼此相关。这项研究的目的是说明反向动力学与正向动力学方法之间缺乏相关性的根源,从而在此过程中提供有关如何克服此类差异的见解。涉及空间人体运动的生物力学的两种类型的问题用于评估正向和反向动力学方法之间的相关性:对下肢的确定性生物力学模型的步态分析,以及对上肢的完整肌肉骨骼模型,其特点是解决了多余的肌肉力量共享问题。为此,应用逆动力学模型来估计由两个实验获得的运动所引起的力,然后将这些力作为正向动力学模型的输入,然后将其用于计算生物力学模型的运动学。通过实验获得的参考运动学之间的比较以及从前向动力学分析得出的结果之间的比较支持始终观察到逆向和正向动力学分析之间缺乏相关性。在此提出并证明,在反馈回路中实现的控制器能够增强前向动力学解决方案的数值稳定性,从而导致前向动力学方法能够成功地模拟所获取的运动。

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