Research on Mechanical Leg Structure Design and Control System of Lower Limb Exoskeleton Rehabilitation Robot Based on Magnetorheological Variable Stiffness and Damping Actuator

Author:

Zhao Chenglong123,Liu Zhen2,Zheng Chongsong4,Zhu Liucun35,Wang Yuefei1

Affiliation:

1. School of Mechanical and Marine Engineering, Beibu Gulf University, Qinzhou 535011, China

2. Department of Integrated Systems Engineering, Nagasaki Institute of Applied Science, Nagasaki 851-0193, Japan

3. Advanced Science and Technology Research Institute, Beibu Gulf University, Qinzhou 535001, China

4. CATARC (Tianjin) Automotive Engineering Research Institute Co., Ltd., Tianjin 300300, China

5. Research Institute for Integrated Science, Kanagawa University, Yokohama, Tokyo 259-1293, Japan

Abstract

During the walking process of lower limb exoskeleton rehabilitation robots, inevitable collision impacts will occur when the swinging leg lands on the ground. The impact reaction force from the ground will induce vibrations in the entire robot’s body from bottom to top. To address this phenomenon, considering the limitations of traditional active compliance and passive compliance methods, a variable stiffness and damping actuator (VSDA) leg structure using a magnetorheological damper (MRD) is proposed. Firstly, experimental methods are used to obtain the ground reaction force (GRF) exerted on a normal person during walking. Then, a mathematical model of the VSDA leg structure is constructed, and its working principle is analyzed. Based on human mass and dimensions, a 3D model is designed and selected. Finally, a simulation model is built in the MATLAB/Simulink environment using the fuzzy switch damping control strategy to simulate the acceleration and displacement of the human body under sinusoidal and random excitations. The results indicate that under sinusoidal excitation, employing fuzzy switch damping control optimizes human displacement by 72.47% compared to the high stiffness and high damping system, and by 16.95% compared to the switch damping system. Human acceleration is optimized by 52.09% compared to the high stiffness and high damping system, and by 25.2% compared to the switch damping system. Under random excitation, adopting fuzzy switch damping control optimizes human displacement by 59.09% compared to the high stiffness and high damping system, and by 21.74% compared to the switch damping system. Human acceleration is optimized by 78.74% compared to the high stiffness and high damping system, and by 31.66% compared to the switch damping system. This validates the VSDA design structure and control method, demonstrating certain advantages in improving the compliance and stability of lower limb exoskeleton rehabilitation robots.

Funder

2024 Guangxi Universities Enhancement of Research Capability for Young and Middle-aged Teachers Project

Publisher

MDPI AG

Reference32 articles.

1. Zhao, J.D. (2024). Research on Self-Tuning Fuzzy Control of Walking Error of Humanoid Robot. [Ph.D. Thesis, Tsinghua University].

2. Optimization of impedance control parameters for lower extremity exoskeleton robot;Zhong;Sci. Technol. Eng.,2023

3. Adaptive active interactive control for lower limb rehabilitation robots with uncertainties;Chen;J. Cent. South Univ. (Sci. Technol.),2021

4. Zhang, Y. (2024). Research on the Control Strategy of Assist Mode of Lower Limb Exoskeleton Rehabilitation Robot. [Master’s Thesis, Hebei University of Technology].

5. Patient-cooperative strategies for robot-aided treadmill training: First experimental results;Riener;IEEE Trans. Neural Syst. Rehabil. Eng.,2005

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