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首页> 外文期刊>Journal of Computing and Information Science in Engineering >Bio-Inspired Design and Iterative Feedback Tuning Control of a Wearable Ankle Rehabilitation Robot
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Bio-Inspired Design and Iterative Feedback Tuning Control of a Wearable Ankle Rehabilitation Robot

机译:可穿戴式踝关节康复机器人的生物启发设计和迭代反馈调整控制

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摘要

Robotic rehabilitation for ankle injuries offers several advantages in terms of precision, force accuracy, and task-specific training. While the existing platform-based ankle rehabilitation robots tend to provide a rotation center that does not coincide with the actual ankle joint. In this paper, a novel bio-inspired ankle rehabilitation robot was designed, which is wearable and can keep the participant's shank be stationary. The robot is redundantly actuated by four motors in parallel to offer three ankle rotation degrees-of-freedom (DOFs) with sufficient range of motion (ROM) and force capacity. To control the robotic rehabilitation device operated in a repetitive trajectory training manner, a model-free robust control method in form of iterative feedback tuning (IFT) is proposed to tune the robot controller parameters. Experiments were performed on the parallel ankle rehabilitation platform to investigate the efficacy of the design and the robustness of the IFT technique under real-life rehabilitation scenarios.
机译:脚踝受伤的机器人康复在准确性,力量准确性和针对特定任务的训练方面具有多个优势。现有的基于平台的踝关节康复机器人往往会提供与实际踝关节不一致的旋转中心。本文设计了一种新型的生物启发式踝关节康复机器人,该机器人可穿戴并且可以使参与者的小腿保持静止。该机器人由四个并联的电动机冗余驱动,以提供三个踝关节旋转自由度(DOF),并具有足够的运动范围(ROM)和受力能力。为了控制以重复轨迹训练方式操作的机器人康复设备,提出了一种采用迭代反馈微调(IFT)形式的无模型鲁棒控制方法来调节机器人控制器参数。在平行脚踝康复平台上进行了实验,以研究设计的有效性和IFT技术在现实生活中的康复情况。

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