穿戴式机器人的协调控制方法及其运动辅助机理

中国机械工程

穿戴式机器人的协调控制方法及其运动辅助机理

张霞1;钱蕾1;罗天洪1;陈仁祥1;桥本稔2

1.重庆交通大学机电与车辆工程学院，重庆，400074
2.日本信州大学机器人学科，长野，386-8567

出版日期:2017-08-25 发布日期:2017-08-24
基金资助:
国家自然科学基金资助项目(51505048,51305471)；
重庆市基础与前沿研究计划资助项目(cstc2016jcyjA0416) ；
重庆市教委科学技术项目(KJ1500526)
National Natural Science Foundation of China （No. 51505048,51305471）

A Coordination Control Method for Wearable Robots and Its Motion Assist Mechanism

ZHANG Xia1;QIAN Lei1;LUO Tianhong1;CHEN Renxiang1;HASHIMOTO Minoru2

1.Department of Mechatronics and Automobile Engineering,Chongqing Jiaotong University,Chongqing,400074
2.Robotics Institutes,Shinshu University,Nagano,386-8567

Online:2017-08-25 Published:2017-08-24
Supported by:
National Natural Science Foundation of China （No. 51505048,51305471）

摘要/Abstract

摘要： 为改善穿戴式机器人在运动辅助过程中的人机交互柔顺性，提出了一种以中枢模式发生器(CPG)为核心的协调控制方法，利用CPG自激行为和对外交流的特性获得理想的主/从关节目标轨迹，规避了运动学和动力学逆解算。结合仿真分析和物理实验研究，阐明了所提控制方法及其运动辅助机理、停止再运动等柔性运动产生机理。结果表明，该协调控制方法具有运动辅助效果，CPG自激行为和对外交流的特性可以获得理想的主/从关节目标轨迹，且CPG的衰减停振特性能够方便地生成停止再运动等柔性运动，极大地改善了机器人的人机交互柔顺性。

关键词: 穿戴式机器人, 协调控制方法, 运动辅助机理, 柔性, 中枢模式发生器

Abstract: In order to improve flexibility in human-robot interaction (HRI) of a wearable robot, a novel notion of coordination control method was proposed using CPG. CPGs autonomous behavior and its outer-interaction mechanism were utilized to generate active/passive motion patterns of robot joints. Therefore, the inverse kinematics and inverse dynamics computations were avoided. Computer simulation analysis and physical experiments were carried out to explore the motion assist mechanism, stop and restart flexible movement generation mechanism. Results demonstrate that the coordination control method has motion assist effect, and active/passive motion patterns may be obtained due to CPGs autonomous behavior and its outer-interaction characteristics. CPGs attenuation features are able to generate stop and restart flexible motions, and thus improve robot flexibility in HRI environments.

Key words: wearable robot； coordination control method； motion assist mechanism； flexibility, central pattern generator(CPG)

中图分类号:

TP241

张霞1;钱蕾1;罗天洪1;陈仁祥1;桥本稔2. 穿戴式机器人的协调控制方法及其运动辅助机理[J]. 中国机械工程.

ZHANG Xia1;QIAN Lei1;LUO Tianhong1;CHEN Renxiang1;HASHIMOTO Minoru2. A Coordination Control Method for Wearable Robots and Its Motion Assist Mechanism[J]. China Mechanical Engineering.

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http://www.cmemo.org.cn/CN/Y2017/V28/I16/1965

参考文献

[1]RIENER R, LNENBURGER L, JEZERNIK S, et al. Patient-cooperative Strategies for Robot-aided treadmill Training: First Experimental Results[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2005, 13(3): 380-394.
[2]BANALA S K, KULPE A, AGRAWAL S K. A Powered Leg Orthosis for Gait Rehabilitation of Motor-impaired Patients[C]// IEEE International Conference on Robotics and Automation. Roma， 2007: 4140-4145.
[3]文忠, 钱晋武, 沈林勇, 等. 基于阻抗控制的步行康复训练机器人的轨迹自适应[J].机器人, 2011, 33(1):142-149.
WEN Zhong, QIAN Jinwu, SHEN Linyong, et al. Trajectory Adaptation for Impedance Control Based Walking Rehabilitation Training Robot[J]. Robot, 2011, 33(1):142-149.
[4]KASAOKA K, SANKAI Y. Predictive Control Estimation Operator's Intention for Stepping-up Motion by Exoskeleton Type Power Assist System HAL [C]// IEEE/RSJ International Conference on Intelligent Robots and Systems. Maui, 2001: 1578-1583.
[5]KIGUCHI K, QUAN Q. Muscle-model-oriented EMG-based Control of an Upper-limb Power-assist Exoskeleton with a Neuro-fuzzy Modifier [C]// Proc. of IEEE World Congress of Computational Intelligence. Hong Kong, 2008: 1179-1184.
[6]李金铭. 基于表面肌电信号的下肢康复机器人控制方法研究 [D]. 哈尔滨:哈尔滨工业大学,2013.
LI Jinming. Research on Controlling Methods of Lower Limb Rehabilitation Robot Based on sEMG[D]. Harbin: Harbin Institute of Technology, 2013.
[7]LEE S, SANKAI Y. Minimizing the Physical Stress by Virtual Impedance of Exoskeleton Robot in Swinging Motion with Power Assist System for Lower Limb [J]. Journal of the Japan Society of Mechanical Engineers, 2005, 71(705): 274-282.
[8]KAZEROONI H. The Berkeley Lower Extremity Exoskeleton (BLEEX) [J]. Field and Service Robotics, 2006, 25(1): 9-15.
[9]RAJASEKARAN V, ARANDA J， CASALS A， et al. An Adaptive Control Strategy for Postural Stability Using a Wearable Robot [J]. Robotics and Autonomous Systems, 2015, 73：16-23.
[10]OH S, BAEK E， SONG S K， et al. A Generalized Control Framework of Assistive Controllers and Its Application to Lower Limb Exoskeletons [J]. Robotics and Autonomous Systems, 2015, 73：68-77.
[11]李长鹏. 下肢外骨骼康复机器人控制策略研究[D]. 天津:河北工业大学,2013.
LI Changpeng. Research on Control Strategy of Lower Limbs Exoskeletons Rehabilitation Robot[D]. Tianjin: Hebei University of Technology, 2013.
[12]郑航明. 自主减重外骨骼下肢机器人的混合控制系统设计与实现[D]. 成都:电子科技大学, 2014.
ZHENG Hangming. Design and Implementation of a Hybrid Control System for Autonomous Carrying-load Lower Extremity Exoskeletons[D]. Chengdu:University of Electronics Science and Technology of China, 2014.
[13]MATSUOKA K. Sustained Oscillations Generated by Mutually Inhibiting Neurons with Adaptation [J]. Biological Cybernetics, 1985, 52: 367-376.
[14]GODLER I， HORIUCHI M， HASHIMOTO M， et al. Accuracy Improvement of Built-in Torque Sensing for Harmonic Drives [J]. IEEE/ASME Transactions on Mechatronics, 2000, 5(4): 360-366.

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