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

Gao Yuqing; Jin Wei; Xu Jian; Fang Hongbin

doi:10.6052/0459-1879-22-472

Volume 54 Issue 12

Dec. 2022

Turn off MathJax

Article Contents

Abstract

References

Chinese Journal of Theoretical and Applied Mechanics > 2022 > 54(12): 3496-3512. > DOI: 10.6052/0459-1879-22-472 CSTR: 32045.14.0459-1879-22-472

Gao Yuqing, Jin Wei, Xu Jian, Fang Hongbin. Human-machine coupling dynamics and assistance performance analysis of an ankle exoskeleton. Chinese Journal of Theoretical and Applied Mechanics, 2022, 54(12): 3496-3512. DOI: 10.6052/0459-1879-22-472

Citation:

PDF (3207 KB)

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

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, Shanghai 200433, China

Received Date: October 03, 2022
Accepted Date: November 08, 2022
Available Online: November 09, 2022

Graphical Abstract

Abstract

Abstract

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.
- lower-extremity powered exoskeleton,
- dynamic modeling,
- human-machine dynamics,
- musculoskeletal model,
- muscle activation

FullText(HTML)

References (46)

References

[1]	国家统计局, 国务院第七次全国人口普查领导小组办公室. 第七次全国人口普查公报(第五号). http://www.stats.gov.cn/tjsj/tjgb/rkpcgb/qgrkpcgb/202106/t20210628_1818824.html
[2]	王存金, 董林杰, 李杰等. 基于人行走能耗分析的踝关节外骨骼设计. 机械工程学报, 2021, 57(19): 79-92 (Wang Cunjin, Dong Linjie, Li Jie, et al. Design of ankle exoskeleton based on analysis on energy cost of human walking. Journal of Mechanical Engineering, 2021, 57(19): 79-92 (in Chinese) doi: 10.3901/JME.2021.19.008
[3]	韩亚丽, 王兴松. 人体行走下肢生物力学研究. 中国科学:技术科学, 2011, 41(5): 592-601 (Han Yali, Wang Xingsong. The biomechanical study of lower limb during human walking. Science in China:Technology Science, 2011, 41(5): 592-601 (in Chinese)
[4]	Collins SH, Wiggin MB, Sawicki GS. Reducing the energy cost of human walking using an unpowered exoskeleton. Nature, 2015, 522(7555): 212-215 doi: 10.1038/nature14288
[5]	Yandell MB, Tacca JR, Zelik KE. Design of a low profile, unpowered ankle exoskeleton that fits under clothes: overcoming practical barriers to widespread societal adoption. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019, 27(4): 712-723 doi: 10.1109/TNSRE.2019.2904924
[6]	Asbeck AT, De Rossi SMM, Holt KG, et al. A biologically inspired soft exosuit for walking assistance. The International Journal of Robotics Research, 2015, 34(6): 744-762 doi: 10.1177/0278364914562476
[7]	Bae J, Siviy C, Rouleau M, et al. A lightweight and efficient portable soft exosuit for paretic ankle assistance in walking after stroke//2018 IEEE International Conference on Robotics and Automation (ICRA), 2018: 2820-2827
[8]	Kim J, Quinlivan BT, Deprey LA, et al. Reducing the energy cost of walking with low assistance levels through optimized hip flexion assistance from a soft exosuit. Scientific Reports, 2022, 12(1): 1-13 doi: 10.1038/s41598-021-99269-x
[9]	Shepertycky M, Burton S, Dickson A, et al. Removing energy with an exoskeleton reduces the metabolic cost of walking. Science, 2021, 372(6545): 957-960 doi: 10.1126/science.aba9947
[10]	Awad LN, Kudzia P, Revi DA, et al. Walking faster and farther with a soft robotic exosuit: Implications for post-stroke gait assistance and rehabilitation. IEEE Open Journal of Engineering in Medicine and Biology, 2020, 1: 108-115 doi: 10.1109/OJEMB.2020.2984429
[11]	Witte KA, Fiers P, Sheets-Singer AL, et al. Improving the energy economy of human running with powered and unpowered ankle exoskeleton assistance. Science Robotics, 2020, 5(40): eaay9108 doi: 10.1126/scirobotics.aay9108
[12]	Barazesh H, Sharbafi MA. A biarticular passive exosuit to support balance control can reduce metabolic cost of walking. Bioinspiration & Biomimetics, 2020, 15(3): 036009
[13]	Asbeck AT, Schmidt K, Walsh CJ. Soft exosuit for hip assistance. Robotics and Autonomous Systems, 2015, 73: 102-110 doi: 10.1016/j.robot.2014.09.025
[14]	Hu H, Fang K, Guan H, et al. A novel control method of a soft exosuit with plantar pressure sensors//2019 IEEE 4 th International Conference on Advanced Robotics and Mechatronics (ICARM), 2019: 581-586
[15]	葛一敏, 袁海辉, 甘春标. 基于步态切换的欠驱动双足机器人控制方法. 力学学报, 2018, 50(4): 871-879 (Ge Yimin, Yuan Haihui, Gan Chunbiao. Control method of an underactuated biped robot based on gait transition. Chinese Journal of Theoretical and Applied Mechanics, 2018, 50(4): 871-879 (in Chinese) doi: 10.6052/0459-1879-18-049
[16]	方五益, 郭晛, 黎亮等. 柔性铰柔性杆机器人动力学建模、仿真和控制. 力学学报, 2020, 52(4): 965-974 ((Fang Wuyi, Guo Xian, Li Liang, et al. Dynamics modeling, simulation, and control of robots with flexible joints and flexible links. Chinese Journal of Theoretical and Applied Mechanics, 2020, 52(4): 965-974 (in Chinese) doi: 10.6052/0459-1879-20-067
[17]	Ezati M, Ghannadi B, McPhee J. A review of simulation methods for human movement dynamics with emphasis on gait. Multibody System Dynamics, 2019, 47(3): 265-292 doi: 10.1007/s11044-019-09685-1
[18]	Forner-Cordero A, Koopman H, Van der Helm FCT. Inverse dynamics calculations during gait with restricted ground reaction force information from pressure insoles. Gait & Posture, 2006, 23(2): 189-199
[19]	Ren L, Jones RK, Howard D. Whole body inverse dynamics over a complete gait cycle based only on measured kinematics. Journal of Biomechanics, 2008, 41(12): 2750-2759 doi: 10.1016/j.jbiomech.2008.06.001
[20]	Porsa S, Lin YC, Pandy MG. Direct methods for predicting movement biomechanics based upon optimal control theory with implementation in OpenSim. Annals of Biomedical Engineering, 2016, 44(8): 2542-2557 doi: 10.1007/s10439-015-1538-6
[21]	Lin YC, Walter JP, Pandy MG. Predictive simulations of neuromuscular coordination and joint-contact loading in human gait. Annals of Biomedical Engineering, 2018, 46(8): 1216-1227 doi: 10.1007/s10439-018-2026-6
[22]	Martin AE, Schmiedeler JP. Predicting human walking gaits with a simple planar model. Journal of Biomechanics, 2014, 47(6): 1416-1421 doi: 10.1016/j.jbiomech.2014.01.035
[23]	Davy DT, Audu ML. A dynamic optimization technique for predicting muscle forces in the swing phase of gait. Journal of Biomechanics, 1987, 20(2): 187-201 doi: 10.1016/0021-9290(87)90310-1
[24]	Farahani SD, Svinin M, Andersen MS, et al. Prediction of closed-chain human arm dynamics in a crank-rotation task. Journal of Biomechanics, 2016, 49(13): 2684-2693 doi: 10.1016/j.jbiomech.2016.05.034
[25]	Wehner M, Quinlivan B, Aubin PM, et al. A lightweight soft exosuit for gait assistance//2013 IEEE International Conference on Robotics and Automation (ICRA), 2013: 3362-3369
[26]	Sawicki GS, Beck ON, Kang I, et al. The exoskeleton expansion: improving walking and running economy. Journal of Neuroengineering and Rehabilitation, 2020, 17(1): 1-9 doi: 10.1186/s12984-019-0634-5
[27]	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, 2012, 53: 99-121 doi: 10.1016/j.mechmachtheory.2012.02.010
[28]	Carvalho AS, Martins JM. Exact restitution and generalizations for the Hunt–Crossley contact model. Mechanism and Machine Theory, 2019, 139: 174-194 doi: 10.1016/j.mechmachtheory.2019.03.028
[29]	吕阳, 方虹斌, 徐鉴等. 四连杆膝关节假肢的动力学建模与分析. 力学学报, 2020, 52(4): 1157-1173 (Lü 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, 2020, 52(4): 1157-1173 (in Chinese) doi: 10.6052/0459-1879-20-048
[30]	Mostaghel N, Davis T. Representations of Coulomb friction for dynamic analysis. Earthquake Engineering & Structural Dynamics, 1997, 26(5): 541-548
[31]	Romano RA, Garcia C. Karnopp friction model identification for a real control valve. IFAC Proceedings Volumes, 2008, 41(2): 14906-14911 doi: 10.3182/20080706-5-KR-1001.02523
[32]	Marton L, Lantos B. Modeling, identification, and compensationof stick-slip friction. IEEE Transactions on Industrial Electronics, 2007, 54(1): 511-521 doi: 10.1109/TIE.2006.888804
[33]	Kamenar E, Zelenika S. Nanometric positioning accuracy in thepresence of presliding and sliding friction: modelling, identification and compensation. Mechanics Based Design of Structures and Machines, 2017, 45(1): 111-126 doi: 10.1080/15397734.2016.1149487
[34]	Geilinger M, Hahn D, Zehnder J, et al. Add: Analytically differentiable dynamics for multi-body systems with frictional contact. ACM Transactions on Graphics (TOG) , 2020, 39(6): 1-15
[35]	Zheng XD, Wang Q. LCP method for a planar passive dynamic walker based on an event-driven scheme. Acta Mechanica Sinica, 2018, 34(3): 578-588 doi: 10.1007/s10409-018-0749-0
[36]	郑鹏, 王琪, 吕敬等. 摩擦与滚阻对被动行走器步态影响的研究. 力学学报, 2020, 52(1): 162-170 (Zheng Peng, Wang Qi, Lü Jing, et al. Study on the influence of friction and rolling resistance on the gait of passive dynamic walker. Chinese Journal of Theoretical and Applied Mechanics, 2020, 52(1): 162-170 (in Chinese) doi: 10.6052/0459-1879-19-216
[37]	段文杰, 王琪, 王天舒. 圆弧足被动行走器非光滑动力学仿真研究. 力学学报, 2011, 43(4): 765-774 (Duan Wenjie, Wang Qi, Wang Tianshu. Simulation research of a passive dynamic walker with round feet based on non-smooth method. Chinese Journal of Theoretical and Applied Mechanics, 2011, 43(4): 765-774 (in Chinese) doi: 10.6052/0459-1879-2011-4-lxxb2010-277
[38]	Liu J, Fang H, Xu J. Online adaptive PID control for a multi-joint lower extremity exoskeleton system using improved particle swarm optimization. Machines, 2021, 10(1): 21 doi: 10.3390/machines10010021
[39]	徐声. 踝关节外骨骼的人机协作控制策略及优化. [硕士论文]. 武汉: 武汉理工大学, 2019 Xu Sheng. Human-machine cooperation control strategy and optimization of ankle exoskeleton. [Master Thesis]. Wuhan: Wuhan University Of Technology, 2019 (in Chinese))
[40]	Whittle MW. Gait Analysis: An Introduction. Butterworth-Heinemann, 2014
[41]	Girod B, Rabenstein R, Stenger A. Signals and Systems. John Wiley & Sons Incorporated, 2001
[42]	Rosner B, Glynn RJ, Ting Lee ML. Incorporation of clustering effects for the Wilcoxon rank sum test: a large-sample approach. Biometrics, 2003, 59(4): 1089-1098 doi: 10.1111/j.0006-341X.2003.00125.x
[43]	Geijtenbeek T. Scone: Open source software for predictive simulation of biological motion. Journal of Open Source Software, 2019, 4(38): 1421 doi: 10.21105/joss.01421
[44]	范光辉. 基于人体下肢表面肌电信号的动作模式识别及疲劳度分析. [硕士论文]. 安徽: 安徽工业大学, 2020 Fan Guanghui. Movement pattern recognition and fatigue analysis based on EMG signals from lower extremity surface of human body. [Master Thesis]. Anhui: Anhui University of Technology, 2020 (in Chinese)
[45]	康乐. 人体下肢表面肌电信号的特性研究. [硕士论文]. 天津: 天津科技大学, 2012 Kang Le. Research on the surface electromyography characteristics of human lower limb. [Master Thesis]. Tianjin: Tianjin University of Science and Technology, 2012 (in Chinese)
[46]	马渊源. 足背屈运动疲劳前后胫骨前肌和比目鱼肌sEMG的变化特征. [硕士论文]. 苏州: 苏州大学, 2019 Ma Yuanyuan. Changes of sEMG of tibialis anterior and soleus muscle before and after dorsiflexion induced fatigue. [Master Thesis]. Suzhou: Soochow University, 2019 (in Chinese)

[1]	Jin Wei, Liu Jiaqi, Zhang Qiwei, Fang Hongbin. DYNAMIC ANALYSIS OF HORIZONTAL AND UPHILL WALKING BASED ON THE NEURO-MUSCULOSKELETAL-EXOSKELETAL COUPLED SIMULATION FRAMEWORK[J]. Chinese Journal of Theoretical and Applied Mechanics, 2024, 56(3): 817-831. DOI: 10.6052/0459-1879-23-538
[2]	Wang Monan, Jiang Guodong, Liu Fengjie. MULTI-SCALE MODELING AND SIMULATION OF SKELETAL MUSCLE BIOMECHANICAL PROPERTIES[J]. Chinese Journal of Theoretical and Applied Mechanics, 2023, 55(2): 509-531. DOI: 10.6052/0459-1879-22-496
[3]	Yuan Tingting, Ren Kunming, Fang Yuqiao, Liu Jinyang. DYNAMIC MODELING AND ANALYSIS FOR NON-RIGID ORIGAMI STRUCTURE CONSIDERING NONLINEAR CONSTITUTIVE RELATION[J]. Chinese Journal of Theoretical and Applied Mechanics, 2022, 54(9): 2552-2566. DOI: 10.6052/0459-1879-22-176
[4]	Fang Peijun, Cai Yingfeng, Chen Long, Sun Xiaoqiang, Wang Hai. NEURAL NETWORK LATERAL DYNAMICS MODELING AND CONTROL BASED ON ED-LSTM FOR INTELLIGENT VEHICLE[J]. Chinese Journal of Theoretical and Applied Mechanics, 2022, 54(7): 1896-1908. DOI: 10.6052/0459-1879-21-667
[5]	Wang Enmei, Wu Shunan, Wu Zhigang. ACTIVE-CONTROL-ORIENTED DYNAMIC MODELLING FOR ON-ORBIT ASSEMBLY SPACE STRUCTURE[J]. Chinese Journal of Theoretical and Applied Mechanics, 2020, 52(3): 805-816. DOI: 10.6052/0459-1879-19-375
[6]	Sun Jialiang, Tian Qiang, Hu Haiyan. ADVANCES IN DYNAMIC MODELING AND OPTIMIZATION OF FLEXIBLE MULTIBODY SYSTEMS[J]. Chinese Journal of Theoretical and Applied Mechanics, 2019, 51(6): 1565-1586. DOI: 10.6052/0459-1879-19-212
[7]	Zhang Wei, Yu Yongliang, Tong Binggang. PREDICTION OF MECHANICAL PROPERTIES OF FISH MUSCLE IN VIVO DURING STEADY SWIMMING[J]. Chinese Journal of Theoretical and Applied Mechanics, 2014, 46(4): 619-625. DOI: 10.6052/0459-1879-14-053
[8]	Hongrong Fang, Tao Tang, Xiangming Zhang, Zhuo Zhuang. Development on the visco-elastic constitutive model of cardiac muscle based on experiment[J]. Chinese Journal of Theoretical and Applied Mechanics, 2008, 40(3): 355-363. DOI: 10.6052/0459-1879-2008-3-2007-187
[9]	Hillslope soil erosion process model for natural rainfall events[J]. Chinese Journal of Theoretical and Applied Mechanics, 2008, 40(3). DOI: 10.6052/0459-1879-2008-3-2006-329
[10]	Zhenhua Huang, M.S. Ghidaoui. A model for the scattering of long waves by slotted breakwaters in the presence of currents[J]. Chinese Journal of Theoretical and Applied Mechanics, 2007, 23(1): 1-9. DOI: 10.6052/0459-1879-2007-1-2006-240

Cited By

Cited by

Periodical cited type(6)

1.	李忠凯，张佳琦. 形状记忆合金驱动的外骨骼设计与控制研究. 组合机床与自动化加工技术. 2025(03): 109-113 .
2.	施晨雨，王宇春. 基于深度学习的sEMG手指关节角度估计方法研究. 信息与电脑. 2025(05): 47-49 .
3.	靳葳，刘佳奇，张琦炜，方虹斌. 基于神经-肌骨-外骨骼耦合仿真框架的平地和上坡行走动力学分析. 力学学报. 2024(03): 817-831 . 本站查看
4.	李赐恩，任少蒙，孙彦超，景娟红，程翔，杨晋伟. 下肢外骨骼膝关节优化及人机控制仿真. 机械. 2024(07): 74-80 .
5.	毛云霄，崔海坡，赵展，郭旭东，张鑫，马骞. 单兵背负式外骨骼担架的设计与分析. 生物医学工程学杂志. 2023(06): 1200-1208 .
6.	韩亚丽，韩子，金壮壮，徐闽海，吴应达. 一种主动型踝关节助力外骨骼设计及性能实验. 仪器仪表学报. 2023(11): 109-118 .

Other cited types(6)

Get Citation

PDF

XML

Article Metrics

Article views (1298) PDF downloads (241) Cited by(12)

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

Abstract

References

Related Articles

Cited by

Periodical cited type(6)

Other cited types(6)

Catalog

Article Metrics

Related

Download Center

Author Center

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

Abstract

References

Related Articles

Cited by

Periodical cited type(6)

Other cited types(6)

Catalog

Article Metrics

Related

Download Center

Author Center

Export File

Citation

Format

Content