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上肢康复训练是缓解上肢运动功能障碍的必要手段,针对康复机器人上肢康复训练过程的运动学仿真及人机耦合力矩特性开展研究。首先,介绍了上肢康复协作机器人系统构成和常见康复训练模式。其次,基于D-H参数法建立上肢康复协作机器人运动学模型,采用MATLAB软件的AppDesigner开发上肢康复训练运动学分析软件,对常见的上肢内收外展、前屈后伸和伸展屈曲3种上肢康复训练模式进行运动学仿真分析,求解得到康复训练模式下机器人关节轨迹。最后,基于拉格朗日方法建立上肢康复协作机器人的耦合动力学模型,针对3种上肢康复训练模式分析了康复机器人关节力矩特性,在此基础上,基于ADMAS软件搭建上肢康复机器人虚拟样机模型并进行仿真验证。研究揭示了康复训练过程人机耦合作用和人体上肢对康复机器人关节力矩特性的影响,对上肢康复机器人的人机交互控制具有一定的参考意义。
Abstract:Upper limb rehabilitation training plays a critical role in alleviating motor dysfunction. This study focuses on the kinematic simulation of upper limb rehabilitation training and the characteristics of human-robot coupling torque in rehabilitation robots. First,the system structure and common rehabilitation training modes of upper limb rehabilitation robots are introduced. Next,a kinematic model of the collaborative rehabilitation robot is developed using the Denavit-Hartenberg(D-H) parameter method,and kinematic analysis software for upper limb rehabilitation training is created with MATLAB's AppDesigner. This software performs kinematic simulations for three common training modes:adduction and abduction,forward flexion and backward extension,and extension and flexion,solving for the robot joint trajectories in each mode. Finally,a coupling dynamics model is established based on the Lagrangian method to analyze the joint torque characteristics of the rehabilitation robot in these training modes. A virtual prototype model of the rehabilitation robot is built using ADMAS software,and the results are simulated and verified. The study reveals the human-machine coupling effect and its impact on the joint torque characteristics of the rehabilitation robot during training,offering valuable insights for the design of human-robot interaction control in upper limb rehabilitation robots.
[1]何畅,熊蔡华,陈文斌.脑损伤上肢康复机器人及其临床应用研究[J].机械工程学报,2023,59(19):65-80.
[2]龚兴若,孔亚敏,马丙祥.上肢外骨骼机器人在儿童脑性瘫痪中的研究和应用进展[J].中国康复医学杂志,2024,39(3):436-442.
[3]QASSIM H M,HASAN W W Z. A review on upper limb rehabilitation robots[J]. Applied Sciences,2020,10(19):6976.
[4]刘忠良,张坤,魏彦龙,等.康复机器人系统的研究现状与展望[J].机器人外科学杂志(中英文),2023,4(6):497-506.
[5]罗胜利,孟巧玲,喻洪流.我国康复机器人技术研究与应用概况[J].中国康复医学杂志,2023,38(12):1762-1768.
[6]付强,张志辉,张松源,等.基于表面肌电信号的上肢外骨骼康复训练系统设计[J].北京生物医学工程,2024,43(1):29-34.
[7]CHIOU S J,CHU H R,LI I H,et al. A novel wearable upper-limb rehabilitation assistance exoskeleton system driven by fluidic muscle actuators[J]. Electronics,2023,12(1):196.
[8]姚玉龙,李宪华,林凤涛,等.一种混合驱动的上肢康复外骨骼机器人设计[J].佳木斯大学学报(自然科学版),2024,42(1):72-76.
[9]李爽.基于混联机构的七自由度上肢康复机器人及训练轨迹研究[D].长春:长春工业大学,2023.
[10]付璀瑶.上肢外骨骼机器人康复系统的设计与研究[D].南昌:南昌大学,2022.
[11]柴媛媛.基于运动意图理解的上肢康复机器人机构设计与协同控制[D].长春:长春工业大学,2022.
[12]谭荣斌,鲁守银,徐伟杰,等.基于人机交互的上肢外骨骼训练康复机器人路径规划[J].制造业自动化,2022,44(11):58-63.
[13]兰旭腾.穿戴式上肢康复机器人设计与交互控制方法研究[D].长春:长春工业大学,2023.
[14]ZHENG K,ZHANG Q. Research on configuration design and intelligent compliance control of reconfigurable modular flexible upper limb rehabilitation robot[J]. International Journal of Advanced Robotic Systems,2023,20(3):17298806231175600.
[15]李守忠,管昀毅,马冲,等.上肢康复机器人被动变刚度驱动器建模与试验[J].机械工程学报,2024,60(3):47-54.
[16]WANG Y Q,CAO J J,GENG R R,et al. Study on the design and control method of a wire-driven waist rehabilitation training parallel robot[J]. Robotica,2022,40(10):3499-3513.
[17]王玉成.上肢外骨骼康复机器人结构设计及柔顺控制策略[D].北京:北京邮电大学,2023.
[18]陈鹏.上肢康复机器人机构及控制系统设计[D].秦皇岛:燕山大学,2022.
[19]郭福民.基于改进鲸鱼优化算法的上肢康复机器人轨迹规划及康复评价研究[D].南昌:南昌大学,2023.
[20]李也.上肢外骨骼康复机器人的轨迹规划研究[D].长春:长春工业大学,2023.
[21]李朋阳,高建设,顾昌利.一种串并混联的上肢康复机器人轨迹规划研究[J].机械设计与制造,2022(6):265-269,273.
[22]GUO B,LI Z,HUANG M,et al. Patient’s healthy-limb motion characteristic-based assist-as-needed control strategy for upper-limb rehabilitation robots[J].Sensors,2024,24(7):2082.
[23]LI Y,CAO D,WANG J,et al. Trajectory planning of lower limb rehabilitation action for cable-driven rehabilitation robots[J]. Proceedings of the Institution of Mechanical Engineers,Part C:Journal of Mechanical Engineering Science,2023,237(9):2171-2183.
[24]李辽远,韩建海,李向攀,等.上肢康复训练轨迹定制优化及柔顺跟踪控制[J].工程科学与技术,2023,55(2):194-203.
[25]AOLE S,ELAMVAZUTHI I,WAGHMARE L,et al.Non-linear active disturbance rejection control for upper limb rehabilitation exoskeleton[J]. Proceedings of the Institution of Mechanical Engineers,Part I. Journal of Systems and Control Engineering,2021(5):235.
[26]PENNA M F,TRIGILI E,AMATO L,et al. Decoding upper-limb movement intention through adaptive dynamic movement primitives:A proof-of-concept study with a shoulder-elbow exoskeleton[Z].2023 International Conference on Rehabilitation Robotics(ICORR). 2023:1-6.10.1109/icorr58425.2023.10304723
[27]张岱岩.基于轨迹跟踪的上肢康复交互训练系统研究[D].济南:山东大学,2022.
[28]AKBARI V,MAHDIZADEH O,MOOSAVIAN S A A,et al. Swift augmented human–robot dynamics modeling for rehabilitation planning analyses[J].Multibody System Dynamics,2024,61(2):293-324.
[29]XIE Q,MENG Q,DAI Y,et al. Human-robot coupling dynamic modeling and analysis for upper limb rehabilitation robots[J]. Technology and Health Care,2021,29(4):709-723.
[30]ZHANG S,ZANCHETTIN A M,VILLA R,et al. Real-time trajectory planning based on joint-decoupled optimization in human-robot interaction[J].Mechanism and Machine Theory,2020,144:103664.
[31]REN B,WANG Y,CHEN J. A novel robust finitetime trajectory control with the high-order sliding mode for human–robot cooperation[J]. IEEE Access,2019,7:130874-130882.
[32]张燕,李梵茹,李威,等.基于人机耦合的下肢外骨骼动力学分析及仿真[J].应用数学和力学,2019,40(7):780-790.
[33]ZHAO Z,LI X,LIU M,et al. A novel human-robot interface based on soft skin sensor designed for the upper-limb exoskeleton[J]. Proceedings of the Institution of Mechanical Engineers,Part C:Journal of Mechanical Engineering Science,2021,236(1):566-78.
[34]李嘉文.上肢肘关节康复机器人系统研制[D].上海:上海交通大学,2018.
基本信息:
中图分类号:TP242;TH789
引用信息:
[1]包琪,徐东,刘玉飞,等.上肢康复协作机器人运动仿真及力矩特性分析[J].淮阴工学院学报,2025,34(02):19-29+39.
基金信息:
安徽省高校优秀青年科研项目“弹性薄壁构件机器人磨抛系统柔顺交互控制机理研究”(2023AH030018); 嘉兴市科技计划项目“基于双协作机器人的脑卒中偏瘫患者上肢康复训练系统的关键技术研究与应用”(2022AZ10001)
2024-07-20
2024
2024-10-16
2024-10-15
2024
1
2025-04-15
2025-04-15