下肢助行外骨骼机器人稳定性分析与校正研究
Stability Analysis and Calibration Study of a Lower Limb Mobility-Assisted Exoskeleton Robot
DOI: 10.12677/MOS.2023.124365, PDF,    科研立项经费支持
作者: 钟凤琦*, 朱文琪, 郭旭东#:上海理工大学健康科学与工程学院,上海;肖建如, 许 炜, 周振华:第二军医大学附属长征医院骨肿瘤科,上海
关键词: 下肢外骨骼零力矩点理论稳定性分析足底压力Lower Limb Exoskeleton Zero Moment Point Theory Stability Analysis Plantar Pressure
摘要: 为了保证助行下肢外骨骼的稳定运行,构建一种实时检测机器人运转稳定性的控制系统。通过研究零力矩点理论,建立下肢外骨骼的五连杆模型,求取机器人动态零力矩点的理论移动轨迹。以薄膜压力传感器获取机器人运行过程的足底压力信息,更新零力矩点计算公式并获得该点的实际运动轨迹。步态矫正算法调整实际零力矩点的稳定裕度,输出角度调整量,主控模块做角度的反馈控制。调整后轨迹相对于规划轨迹的均方根误差为0.04,稳定裕度增加,机器人稳定性得到提升。
Abstract: To ensure the stable operation of lower limb exoskeleton for mobility assistance, a control system was built to detect the stability of robot’s operation in real time. A five-link model of lower limb ex-oskeleton was developed by investigating zero moment point theory. Determine the theoretical moving trajectory of the dynamic zero moment point of the robot. Plantar pressure information during robot operation was acquired by thin-film pressure sensors. And it was used to update the formula for the zero moment point and to obtain the actual trajectory of the point. The gait correc-tion algorithm adjusts the stability margin at the actual zero moment point. The angle adjustment amount was outputted. And the master control module made feedback control of this angle adjust-ment. The root mean square error of the adjusted trajectory relative to the planned trajectory is 0.04. Stability margin was increased. And stability of robot was improved.
文章引用:钟凤琦, 朱文琪, 郭旭东, 肖建如, 许炜, 周振华. 下肢助行外骨骼机器人稳定性分析与校正研究[J]. 建模与仿真, 2023, 12(4): 3999-4006. https://doi.org/10.12677/MOS.2023.124365

参考文献

[1] Meng, W., Liu, Q., Zhou, Z., et al. (2015) Recent Development of Mechanisms and Control Strategies for Robot-Assisted Lower Limb Rehabilitation. Mechatronics, 31, 132-145. [Google Scholar] [CrossRef
[2] 韩稷钰, 王衍鸿, 万大千. 下肢外骨骼康复机器人的研究进展及发展趋势[J]. 上海交通大学学报(医学版), 2022, 42(2): 241-246.
[3] 谢哲东, 李斌, 陈晨, 等. 基于ZMP理论的下肢外骨骼机器人稳定性分析[J]. 机械工程师, 2022(5): 1-5.
[4] 刘西侠, 王树海, 金毅, 等. 四足步行机器人稳定性分析[J]. 机械设计与制造, 2013(5): 189-191.
[5] Vukobratović, M. and Borovac, B. (2004) Zero-Moment Point—Thirty Five Years of Its Life. International Journal of Humanoid Robotics, 1, 157-173. [Google Scholar] [CrossRef
[6] 吴伟国, 高力扬. 使用零力矩点反馈的双足机器人惯性参数辨识[J]. 哈尔滨工业大学学报, 2021, 53(7): 20-26.
[7] Swank, C., Sikka, S., Driver, S., Bennett, M. And Callender, L. (2020) Feasibility of Integrating Robotic Exoskeleton Gait Training in Inpatient Rehabilitation. Disability and Rehabilitation: Assistive Technology, 15, 409-417. [Google Scholar] [CrossRef] [PubMed]
[8] Wang, Y., Cheng, H. and Hou, L. (2019) c2 AIDER: Cognitive Cloud Exoskeleton System and Its Applications. Cognitive Computation and Systems, 1, 33-39. [Google Scholar] [CrossRef
[9] 刘昆. 下肢外骨骼机器人行走稳定性研究与应用[D]: [硕士学位论文]. 曲阜: 曲阜师范大学, 2020.
[10] Jatsun, S., Savin, S. and Yatsun, A. (2018) New Trends in Medical and Service Robots. Springer, Berlin, 305-317.
[11] 丛明, 杨劲松, 张佳琦, 等. 基于质心校正的下肢外骨骼松软路面步态规划[J]. 华中科技大学学报(自然科学版), 2021, 49(11): 41-46.
[12] 于振中, 姚锦涛. 基于在线ZMP校正的下肢外骨骼上楼梯步态规划[J]. 机械传动, 2020, 44(1): 62-67.
[13] 邹朝彬. 下肢康复外骨骼机器人步态建模与学习算法研究[D]: [博士学位论文]. 成都: 电子科技大学, 2022.
[14] Zhu, H., Luo, M. and Li, J. (2018) Optimization-Based Gait Planning and Control for Biped Robots Utilizing the Optimal Allowable ZMP Variation Region. Industrial Robot, 45, 469-480. [Google Scholar] [CrossRef
[15] Aphiratsakun, N., Parnichkun, M., Aphiratsakun, N., et al. (2009) Balanc-ing Control of AIT Leg Exoskeleton Using ZMP based FLC. International Journal of Advanced Robotic Systems, 6, 319-328. [Google Scholar] [CrossRef
[16] Sardain, P. and Bessonnet, G. (2004) Forces Acting on a Biped Robot. Center of Pres-sure—Zero Moment Point. IEEE Transactions on Systems, Man and Cybernetics—Part A: Systems and Humans, 34, 630-637. [Google Scholar] [CrossRef