双臂协调搬运过程中基于变阻抗模型的位置/力混合控制

doi:10.13973/j.cnki.robot.180705

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段晋军, 甘亚辉, 戴先中. 双臂协调搬运过程中基于变阻抗模型的位置/力混合控制[J]. 机器人, 2019, 41(6): 795-802,812.DOI: 10.13973/j.cnki.robot.180705. DUAN Jinjun, GAN Yahui, DAI Xianzhong. The Hybrid Position/Force Control Based on Variable Impedance Model in the Dual-Arm Coordinated Transport. ROBOT, 2019, 41(6): 795-802,812. DOI: 10.13973/j.cnki.robot.180705.

摘要针对双臂协调搬运中同时存在外部干扰和内力约束的复杂耦合运动，提出了一种基于变阻抗模型的内外位置/力混合控制策略．首先，分析了闭链系统下面向被操作对象的运动规划和动力学模型．然后，根据协调搬运特性将任务空间正交解耦为外环的位置自由子空间和内环的力约束子空间，对于位置子空间中的外部干扰采用阻抗模型进行轨迹跟踪，对于力约束子空间中的内力约束采用变阻抗模型进行力跟踪．最后，在搭建的仿真环境和物理环境中对双臂协调搬运物体进行实验验证，实验结果表明所提算法对于外部干扰表现出柔顺性并满足内力约束条件．

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关键词 ：双臂协调, 闭链系统, 变阻抗模型, 位置/力混合控制

Abstract：For the complex coupling motion with external disturbance and internal force constraint existing in the dual-arm coordinated transport, an internal and external hybrid position/force control strategy based on the variable impedance model is proposed. Firstly, the motion planning and dynamic model of the manipulated object in the closed-chain system are analyzed, and then the task space is orthogonally decoupled into the position free subspace at the outer loop and the force constrained subspace at the inner loop according to the coordinated transport characteristics. For the external disturbance in the position subspace, the impedance model is used for the trajectory tracking. For the internal force in the force constrained space, the variable impedance model is used for the force tracking. Finally, dual-arm coordinated transport experiments are carried out in the simulated environment and physical environment. The experimental results show that the proposed algorithm is flexible for external disturbance and satisfies internal force constraints.

Key words： dual-arm coordination closed-chain system variable impedance model hybrid position/force control

收稿日期: 2018-11-29 录用日期: 2019-04-19

TP242.2

基金资助:国家自然科学基金（61873308，61503076，61175113）；江苏省自然科学基金（BK20150624）；复杂工程系统测量与控制教育部重点实验室开放课题（MCCSE2014B02）

通讯作者: 甘亚辉,ganyahui@yeah.net E-mail: ganyahui@yeah.net

作者简介: 段晋军(1988-),男,博士生.研究领域:多机器人位置/力协调控制,机器人控制.
甘亚辉(1985-),男,博士,讲师.研究领域:智能化焊接机器人应用,多机器人协作,无夹具焊接过程控制,拟人机器人控制.
戴先中(1954-),男,教授,博士生导师.研究领域:机器人控制,电力系统控制,软测量及信号处理.

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https://robot.sia.cn/CN/10.13973/j.cnki.robot.180705 或 https://robot.sia.cn/CN/Y2019/V41/I6/795

[1] Smith C, Karayiannidis Y, Nalpantidis L, et al. Dual arm manipulation-A survey[J]. Robotics and Autonomous Systems, 2012, 60(10):1340-1353.
[2] Uchiyama M, Dauchez P. A symmetric hybrid position/force control scheme for the coordination of two robots[C]//IEEE International Conference on Robotics and Automation. Piscataway, USA:IEEE, 1988:350-356.
[3] Uchiyama M, Dauchez P. Symmetric kinematic formulation and non-master/slave coordinated control of two-arm robots[J]. Advanced Robotics, 1992, 7(4):361-383.
[4] Bonitz R G, Hsia T C. Force decomposition in cooperating manipulators using the theory of metric spaces and generalized inverses[C]//IEEE International Conference on Robotics and Automation. Piscataway, USA:IEEE, 1994:1521-1527.
[5] Caccavale F, Chiacchio P, Marino A, et al. Six-DOF impedance control of dual-arm cooperative manipulators[J]. IEEE/ASME Transactions on Mechatronics, 2008, 13(5):576-586.
[6] 欧阳帆.双机器人协调运动方法的研究[D].广州:华南理工大学,2013.Ouyang F. Research on coordinated motion of dual robots[D]. Guangzhou:South China University of Technology, 2013.
[7] 周扬.双臂机器人的控制系统建立及阻抗控制研究[D].哈尔滨:哈尔滨工业大学,2014.Zhou Y. Research on control system establishment and impedance control of dual-arm robot[D]. Harbin:Harbin Institute of Technology, 2014.
[8] 贺军.变负载双臂机器人阻抗自适应控制系统研究[D].合肥:中国科学技术大学,2016. He J. Research on impedance adaptive control system of variable load dual-arm robot[D]. Hefei:University of Science and Technology of China, 2016.
[9] Sun D, Mills J K. Adaptive synchronized control for coordination of multirobot assembly tasks[J]. IEEE Transactions on Robotics and Automation, 2002, 18(4):498-510.
[10] Gueaieb W, Karray F, Al-Sharhan S. A robust adaptive fuzzy position/force control scheme for cooperative manipulators[J]. IEEE Transactions on Control Systems Technology, 2003, 11(4):516-528.
[11] Gueaieb W, Karray F, Al-Sharhan S. A robust hybrid intelligent position/force control scheme for cooperative manipulators[J]. IEEE/ASME Transactions on Mechatronics, 2007, 12(2):109-125.
[12] Basile F, Caccavale F, Chiacchio P, et al. Task-oriented motion planning for multi-arm robotic systems[J]. Robotics and Computer-Integrated Manufacturing, 2012, 28(5):569-582.
[13] Ren Y, Chen Z, Liu Y, et al. Adaptive hybrid position/force control of dual-arm cooperative manipulators with uncertain dynamics and closed-chain kinematics[J]. Journal of the Franklin Institute, 2017, 354(17):7767-7793.
[14] Duan J J, Gan Y H, Chen M, et al. Adaptive variable impedance control for dynamic contact force tracking in uncertain environment[J]. Robotics and Autonomous Systems, 2018, 102:54-65.
[15] Lynch K M, Park F C. Modern robotics:Mechanics, planning, and control[M]. Cambridge, UK:Cambridge University Press, 2017.