HUMAN-MACHINE COUPLING DYNAMICS AND ASSISTANCE PERFORMANCE ANALYSIS OF AN ANKLE EXOSKELETON

被引:0
|
作者
Gao Y. [1 ]
Jin W. [1 ]
Xu J. [1 ]
Fang H. [1 ]
机构
[1] (Institute of AI and Robotics, Fudan University, Shanghai 200433, China) (MOE Engineering Research Center of AI & Robotics, Fudan University, Shanghai 200433, China) (Shanghai Engineering Research Center of AI & Robotics, Fudan University
关键词
dynamic modeling; human-machine dynamics; lower-extremity powered exoskeleton; muscle activation; musculoskeletal model;
D O I
10.6052/0459-1879-22-472
中图分类号
学科分类号
摘要
The ankle joint provides the largest joint torque during human lower limb motions. Therefore, ankle exoskeletons have received major attention in the research of lower limb augmented exoskeletons. Walking of a human equipped with an exoskeleton is a typical dynamics problem, while the research on human-exoskeleton coupling dynamics is still at an early stage. Concentrated on the cable-driven ankle exoskeleton, this paper developed a human-machine coupled dynamic model considering foot-ground interaction forces, human joint torques, and exoskeleton torques, by integrating the robot forward kinematics method and the Lagrange's equation, where the foot-ground interaction force was described by the Kelvin-Voigt model together with the Coulomb’s dry friction model, the human joint torque was generated by the PD control with the particle swarm optimization, and the assistive exoskeleton torque was determined by an upper-level controller in accordance with the human gait cycle. Through model-based dynamic simulations, this paper systematically analyzed the effect of the ankle exoskeleton assistance on human walking from the perspectives of the angle, torque, power, and work of the human ankle. It was demonstrated that when walking at a speed between 2.0 km/h and 6.5 km/h, human wearing the exoskeleton can achieve at least a 24.84% reduction in average ankle torque and at least a 24.69% reduction in ankle work. Musculoskeletal modeling and predictive simulations based on the SCONE were also performed in this paper. The simulation results showed that at a speed of 3.6km/h, wearing the exoskeleton can effectively reduce the peak level of soleus activation and the RMS value of the EMG signal by 6.21%, thereby validating the effect of the ankle exoskeleton assistance from a physiological perspective. Based on the results of this paper, the dynamic modeling and analysis method of human-exoskeleton coupled systems is further improved. The assistance mechanism of the ankle exoskeleton for walking is confirmed and interpreted from the perspectives of dynamics and physiology. This research also provides a theoretical basis for future experimental studies of lower-limb exoskeletons. © 2022 Chinese Journal of Theoretical and Applied Mechanics Press. All rights reserved.
引用
收藏
页码:3496 / 3512
页数:16
相关论文
共 45 条
  • [21] Martin AE, Schmiedeler JP., Predicting human walking gaits with a simple planar model, Journal of Biomechanics, 47, 6, pp. 1416-1421, (2014)
  • [22] Davy DT, Audu ML., A dynamic optimization technique for predicting muscle forces in the swing phase of gait, Journal of Biomechanics, 20, 2, pp. 187-201, (1987)
  • [23] Farahani SD, Svinin M, Andersen MS, Et al., Prediction of closed-chain human arm dynamics in a crank-rotation task, Journal of Biomechanics, 49, 13, pp. 2684-2693, (2016)
  • [24] Wehner M, Quinlivan B, Aubin PM, Et al., A lightweight soft exosuit for gait assistance, 2013 IEEE International Conference on Robotics and Automation (ICRA), pp. 3362-3369, (2013)
  • [25] Sawicki GS, Beck ON, Kang I, Et al., The exoskeleton expansion: improving walking and running economy, Journal of Neuroengineering and Rehabilitation, 17, 1, pp. 1-9, (2020)
  • [26] Machado M, Moreira P, Flores P, Et al., Compliant contact force models in multibody dynamics: Evolution of the Hertz contact theory, Mechanism and Machine Theory, 53, pp. 99-121, (2012)
  • [27] Carvalho AS, Martins JM., Exact restitution and generalizations for the Hunt–Crossley contact model, Mechanism and Machine Theory, 139, pp. 174-194, (2019)
  • [28] Lu Yang, Fang Hongbin, Xu Jian, Et al., Dynamic modeling and analysis of the lower limb prosthesis with four-bar linkage prosthetic knee, Chinese Journal of Theoretical and Applied Mechanics, 52, 4, pp. 1157-1173, (2020)
  • [29] Mostaghel N, Davis T., Representations of Coulomb friction for dynamic analysis, Earthquake Engineering & Structural Dynamics, 26, 5, pp. 541-548, (1997)
  • [30] Romano RA, Garcia C., Karnopp friction model identification for a real control valve, IFAC Proceedings Volumes, 41, 2, pp. 14906-14911, (2008)