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带执行器动力学和踝关节阻抗自适应的软外骨骼的人机自适应控制。

Human-in-the-Loop Adaptive Control of a Soft Exo-Suit With Actuator Dynamics and Ankle Impedance Adaptation.

出版信息

IEEE Trans Cybern. 2023 Dec;53(12):7920-7932. doi: 10.1109/TCYB.2023.3240231. Epub 2023 Nov 29.

Abstract

Soft exo-suit could facilitate walking assistance activities (such as level walking, upslope, and downslope) for unimpaired individuals. In this article, a novel human-in-the-loop adaptive control scheme is presented for a soft exo-suit, which provides ankle plantarflexion assistance with unknown human-exosuit dynamic model parameters. First, the human-exosuit coupled dynamic model is formulated to express the mathematical relationship between the exo-suit actuation system and the human ankle joint. Then, a gait detection approach, including plantarflexion assistance timing and planning, is proposed. Inspired by the control strategy that is used by the human central nervous system (CNS) to handle interaction tasks, a human-in-the-loop adaptive controller is proposed to adapt the unknown exo-suit actuator dynamics and human ankle impedance. The proposed controller can emulate human CNS behaviors which adapt feedforward force and environment impedance in interaction tasks. The resulting adaptation of actuator dynamics and ankle impedance is demonstrated with five unimpaired subjects and implemented on a developed soft exo-suit. The human-like adaptivity is performed by the exo-suit in several human walking speeds and illustrates the promising potential of the novel controller.

摘要

软外骨骼可以为行动正常的人提供辅助行走活动(如平地行走、上坡和下坡)。本文提出了一种新的软外骨骼人机交互自适应控制方案,该方案针对未知的人机外骨骼动力学模型参数,提供踝关节跖屈辅助。首先,建立了人-机外骨骼耦合动力学模型,以表达外骨骼驱动系统和人踝关节之间的数学关系。然后,提出了一种步态检测方法,包括跖屈辅助的时机和规划。受人类中枢神经系统(CNS)处理交互任务的控制策略的启发,提出了一种人机交互自适应控制器,以适应未知的外骨骼执行器动力学和人脚踝阻抗。所提出的控制器可以模拟人类 CNS 在交互任务中适应前馈力和环境阻抗的行为。通过五个行动正常的受试者进行了执行器动力学和脚踝阻抗的自适应验证,并在开发的软外骨骼上进行了实现。外骨骼在几种人类行走速度下表现出类人的适应性,展示了新型控制器的巨大潜力。

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