Toward Phase-Variable Control of Sit-to-Stand Motion with a Powered Knee-Ankle Prosthesis.

Daphna Raz, Edgar Bolívar-Nieto, Necmiye Ozay, Robert D Gregg
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引用次数: 3

Abstract

This paper presents a new model and phase-variable controller for sit-to-stand motion in above-knee amputees. The model captures the effect of work done by the sound side and residual limb on the prosthesis, while modeling only the prosthetic knee and ankle with a healthy hip joint that connects the thigh to the torso. The controller is parametrized by a biomechanical phase variable rather than time and is analyzed in simulation using the model. We show that this controller performs well with minimal tuning, under a range of realistic initial conditions and biological parameters such as height and body mass. The controller generates kinematic trajectories that are comparable to experimentally observed trajectories in non-amputees. Furthermore, the torques commanded by the controller are consistent with torque profiles and peak values of normative human sit-to-stand motion. Rise times measured in simulation and in non-amputee experiments are also similar. Finally, we compare the presented controller with a baseline proportional-derivative controller demonstrating the advantages of the phase-based design over a set-point based design.

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基于动力膝踝假体的坐立运动相位变控制研究。
本文提出了一种用于膝以上截肢者坐立运动的新模型和相位变控制器。该模型捕捉了由健全侧和残肢对假肢所做的工作的影响,同时只模拟了假肢的膝盖和脚踝,以及连接大腿和躯干的健康髋关节。控制器参数化采用生物力学相位变量而不是时间变量,并利用该模型进行了仿真分析。我们表明,在一系列现实的初始条件和生物参数(如身高和体重)下,该控制器在最小的调整下表现良好。控制器产生的运动轨迹与在非截肢者中实验观察到的轨迹相当。此外,控制器控制的转矩与规范人体坐立运动的转矩曲线和峰值一致。在模拟和非截肢实验中测量的上升时间也相似。最后,我们将所提出的控制器与基准比例导数控制器进行比较,证明了基于相位的设计优于基于设定点的设计。
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Bayesian Optimization for State and Parameter Estimation of Dynamic Networks with Binary Space. Toward Phase-Variable Control of Sit-to-Stand Motion with a Powered Knee-Ankle Prosthesis. Real-Time Continuous Gait Phase and Speed Estimation from a Single Sensor. Automatic Tuning of Virtual Constraint-Based Control Algorithms for Powered Knee-Ankle Prostheses. Removing Phase Variables from Biped Robot Parametric Gaits.
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