Design, control, and experimental verification of a soft knee exoskeleton for rehabilitation during walking

Author:

Wu Qingcong1ORCID,Zhang Yuming1,Chen Ying23

Affiliation:

1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. College of Continuing Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China

3. Jiangsu JWC Machinery Co., Ltd, Huai’an, China

Abstract

Since the rigid constructions of the traditional exoskeletons are liable to increase inertia of the joint and limit wearer flexibility, the soft-type exoskeletons have been developed in recent years, which can reduce system inertia, increase interaction compliance, and ensure operation safety. In this article, we present the detailed design and preliminary control of a soft body-worn and tendon-sheath-driven exoskeleton that can apply appropriate torques to the biological knee joints during rehabilitation training. This article focuses on the design of compliance tendon-sheath actuation system based on Hill muscle model, which utilizes multi-wrap pulleys and Hill-based series elastic actuator to transmit effective forces. Besides, the overall control system and strategy architectures of knee soft exoskeleton are also proposed. A fuzzy proportional–integral–derivative controller is developed for the passive rehabilitation training. On this basis, a back-propagation-neural-network-based adaptive impedance control scheme is presented to provide adaptive force based on the disease condition of the patient. Finally, preliminary experiments are conducted to demonstrate the effectiveness of proposed exoskeleton and control strategies.

Funder

fundamental research funds for the central universities

National Natural Science Foundation of China

China Postdoctoral Science Foundation

CIE-Tencent Robotics X Rhino-Bird Focused Research Program

Publisher

SAGE Publications

Subject

Mechanical Engineering,Control and Systems Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DEVELOPMENT AND sEMG-BASED HIERARCHICAL CONTROL OF A HYBRID RIGID-SOFT KNEE EXOSUIT FOR CLIMBING STAIRS;Journal of Mechanics in Medicine and Biology;2023-10-07

2. Fuzzy neural network PID control design of camellia fruit vibration picking manipulator;Journal of Agricultural Engineering;2023-08-01

3. Development of a hierarchical control strategy for a soft knee exoskeleton based on wearable multi-sensor system;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2023-04-05

4. Dynamic analysis and control of a hybrid lower limb rehabilitation robot to reduce human-robot interaction forces;Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine;2023-02-02

5. Improved fuzzy neural network control for the clamping force of Camellia fruit picking manipulator;Mechanics & Industry;2023

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