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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering >Forward dynamics simulation of human walking employing an iterative feedback tuning approach
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Forward dynamics simulation of human walking employing an iterative feedback tuning approach

机译:采用迭代反馈调整方法的人步行正向动力学仿真

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摘要

Inverse dynamics analysis as well as the generation of an optimal goal oriented human motion both lead to the problem of finding suitable activations of the redundant muscles involved. This paper employs an iterative feedback tuning approach to perform the forward dynamics simulation of the human musculoskeletal system during level walking. A modified form of the proportional-integral-derivative (PID) controller is proposed to stabilize the movement and provide tracking of problems of the desired lower extremity joint profiles. Controller parameters were determined iteratively using an optimization algorithm to minimize tracking errors during forward dynamics simulation. Static optimization was employed simultaneously to compute a set of desired musculotendon forces in the closed-loop simulation to resolve muscle redundancy. Quantitative comparisons of the simulation results with the gait experimental measurements and the reference muscle activity show the accuracy and efficiency of the proposed method to provide a stable gait.
机译:逆动力学分析以及以最佳目标为目标的人体运动的产生都导致寻找所涉及的多余肌肉的适当激活的问题。本文采用迭代反馈调整方法对人体肌肉骨骼系统在水平行走过程中进行正向动力学仿真。提出了一种改进形式的比例积分微分(PID)控制器,以稳定运动并跟踪所需下肢关节轮廓的问题。使用优化算法以迭代方式确定控制器参数,以最小化正向动力学仿真过程中的跟踪误差。在闭环仿真中同时采用静态优化来计算一组所需的肌腱力量,以解决肌肉冗余问题。仿真结果与步态实验测量值和参考肌肉活动的定量比较表明,所提出的方法能够提供稳定的步态,具有较高的准确性和效率。

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