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3D bipedal model for biomechanical sit-to-stand movement with coupled torque optimization and experimental analysis

机译:3D双足生物力学坐姿到站立运动的双足模型,结合了扭矩优化和实验分析

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Sit-to-stand (STS) movement is a common human task which involves combination of a musculoskeletal structure integrated with neural control. We present a conceptual 3D bipedal nonlinear model for STS task with optimal controller design for exoskeleton torques. This model has 7 sagittal plane angles, 3 frontal plane angles, and 3 foot translational variables with 3 position based holonomic constraints. We regulate the model with optimal controller design by coupled torque optimization due to muscular interaction between ankle, knee and hip joints. Our simulation results show the improvement in the results from previous controller design schemes. We further obtain experimental data for STS task on a force plate to compare the ground reaction forces of experimental data with our mathematical framework. This proves the validity of the model to extend this mathematical framework for further analysis of healthy and neuro-deficient subjects and accordingly designs of ergonomics and rehabilitation robotics.
机译:站立运动(STS)是一项常见的人类任务,涉及将肌肉骨骼结构与神经控制相结合。我们提出了用于STS任务的概念性3D双足非线性模型,并为外骨骼扭矩优化了控制器设计。该模型具有7个矢状平面角,3个额骨平面角和3个具有3个基于位置的完整约束的脚平移变量。由于脚踝,膝盖和髋关节之间的肌肉相互作用,我们通过耦合扭矩优化来通过最佳控制器设计来调节模型。我们的仿真结果表明,以前的控制器设计方案的结果有所改善。我们进一步在力板上获得STS任务的实验数据,以将实验数据的地面反作用力与我们的数学框架进行比较。这证明了该模型的有效性,可以扩展该数学框架,以进一步分析健康和神经不足的受试者,并据此进行人机工程学和康复机器人的设计。

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