Optimally Biomimetic Passivity-Based Control of a Lower-Limb Exoskeleton Over the Primary Activities of Daily Life

Jianping Lin;Nikhil V. Divekar;Gray C. Thomas;Robert D. Gregg
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引用次数: 5

Abstract

Task-specific, trajectory-based control methods commonly used in exoskeletons may be appropriate for individuals with paraplegia, but they overly constrain the volitional motion of individuals with remnant voluntary ability (representing a far larger population). Human-exoskeleton systems can be represented in the form of the Euler-Lagrange equations or, equivalently, the port-controlled Hamiltonian equations to design control laws that provide task-invariant assistance across a continuum of activities/environments by altering energetic properties of the human body. We previously introduced a port-controlled Hamiltonian framework that parameterizes the control law through basis functions related to gravitational and gyroscopic terms, which are optimized to fit normalized able-bodied joint torques across multiple walking gaits on different ground inclines. However, this approach did not have the flexibility to reproduce joint torques for a broader set of activities, including stair climbing and stand-to-sit, due to strict assumptions related to input-output passivity, which ensures the human remains in control of energy growth in the closed-loop dynamics. To provide biomimetic assistance across all primary activities of daily life, this paper generalizes this energy shaping framework by incorporating vertical ground reaction forces and global planar orientation into the basis set, while preserving passivity between the human joint torques and human joint velocities. We present an experimental implementation on a powered knee-ankle exoskeleton used by three able-bodied human subjects during walking on various inclines, ramp ascent/descent, and stand-to-sit, demonstrating the versatility of this control approach and its effect on muscular effort.
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基于最佳仿生被动性的下肢外骨骼对日常生活主要活动的控制
外骨骼中常用的任务特异性、基于轨迹的控制方法可能适用于截瘫患者,但它们过度限制了具有残余自愿能力的患者(代表了更大的人群)的意志运动。人类外骨骼系统可以用欧拉-拉格朗日方程或等效的端口控制哈密顿方程的形式来表示,以设计控制律,该控制律通过改变人体的能量特性来在连续的活动/环境中提供任务不变的帮助。我们之前介绍了一种端口控制的哈密顿框架,该框架通过与重力项和陀螺项相关的基函数来参数化控制律,这些基函数经过优化,以适应不同地面坡度上多个步态上的标准化健全关节力矩。然而,由于与输入-输出被动性相关的严格假设,这种方法不具有为更广泛的活动(包括爬楼梯和站-坐)复制关节力矩的灵活性,这确保了人类在闭环动力学中保持对能量增长的控制。为了在日常生活的所有主要活动中提供仿生辅助,本文通过将垂直地面反作用力和全局平面方向纳入基集中来推广这种能量塑造框架,同时保持人体关节力矩和人体关节速度之间的被动性。我们介绍了三名身体健全的人类受试者在不同斜坡行走、坡道上升/下降和站到坐过程中使用的动力膝踝外骨骼的实验实现,展示了这种控制方法的多功能性及其对肌肉力量的影响。
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Erratum to “Learning to Boost the Performance of Stable Nonlinear Systems” Generalizing Robust Control Barrier Functions From a Controller Design Perspective 2024 Index IEEE Open Journal of Control Systems Vol. 3 Front Cover Table of Contents
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