柔索牵引式力觉交互机器人控制策略

doi:10.13973/j.cnki.robot.180090

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宋达, 张立勋, 王炳军, 高源, 薛峰, 李来禄. 柔索牵引式力觉交互机器人控制策略[J]. 机器人, 2018, 40(4): 440-447.DOI: 10.13973/j.cnki.robot.180090. SONG Da, ZHANG Lixun, WANG Bingjun, GAO Yuan, XUE Feng, LI Lailu. The Control Strategy of Flexible Cable Driven Force Interactive Robot. ROBOT, 2018, 40(4): 440-447. DOI: 10.13973/j.cnki.robot.180090.

摘要为了让航天员在没有太空真实环境的地面上模拟太空环境进行虚拟作业训练，设计了一种与虚拟现实（VR）技术相结合的柔索牵引式力觉交互机器人．首先，根据微重力环境中物体的运动特性设计机器人的构型，建立移动平台、驱动单元、人推物体运动过程的动力学模型并进行运动学分析．然后，针对系统冗余驱动及力控制任务，提出一种复合控制策略，即以柔索长度变化为速度控制内环，力的外环控制为力／速混合控制．最后，分别进行单柔索加载和人机系统力觉交互仿真分析，分析结果表明该控制策略可以使柔索驱动单元降低10%的恒力跟随误差并能稳定地跟随余弦力的变化，验证了该控制策略对多余力抑制的有效性．

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关键词 ：虚拟作业, 力觉临场感, 力/速混合控制, 力觉交互

Abstract：In order to allow astronauts to perform the virtual operation training by simulating space environment on the ground instead of in real space environment, a flexible cable driven force interactive robot combined with virtual reality (VR) technology is designed. Firstly, the configuration of the robot is designed according to the motion characteristics of the object in microgravity environment. The dynamic model of mobile platform, driving unit and human pushing process is established and the kinematics analysis is carried out. Then, a compound control strategy is proposed for the redundant drive and force control task of the system. That is, the length change of the flexible cable is the inner loop of the velocity control, and the outer loop control of force is the hybrid force/velocity control. Finally, the single flexible cable loading and man-machine system force interactive simulation analysis are carried out, respectively. The analysis results show that the constant force following error of the flexible cable driving unit can be reduced by 10% with the proposed control strategy, and the change of cosine force can be followed steadily, which verify its effectiveness for suppressing surplus force.

Key words： virtual operation force telepresence hybrid force/velocity control force interactive

收稿日期: 2018-01-30 录用日期: 2018-04-08

ZTFLH:

TP242

基金资助:国家自然科学基金（61175128，61773007）；国家重点研发计划（2016YFC0802600）

通讯作者: 张立勋,zhanglixun@hrbeu.edu.cn E-mail: zhanglixun@hrbeu.edu.cn

作者简介: 宋达(1989-),男,博士生.研究领域:并联机器人,机电一体化技术.
张立勋(1962-),男,博士,教授.研究领域:特种机器人,并联机器人,机电一体化技术.
王炳军(1967-),男,高工.研究领域:机电一体化技术.

链接本文:

https://robot.sia.cn/CN/10.13973/j.cnki.robot.180090 或 https://robot.sia.cn/CN/Y2018/V40/I4/440

[1] 林小. NASA空间站模拟训练舱[J].航天员,2010(2):59-63.Lin X. NASA space station simulation training module[J]. Astronaut, 2010(2):59-63.
[2] 徐文福,梁斌,李成,等.空间机器人微重力模拟实验系统研究综述[J].机器人,2009,31(1):88-96.Xu W F, Liang B, Li C, et al. A review on simulated micro-gravity experiment systems of space robot[J]. Robot, 2009, 31(1):88-96.
[3] 曾磊,孙鹏飞,陈明,等.空间机械臂水下试验及其关键技术综述[J]. 载人航天,2016,22(1):45-54.Zeng L, Sun P F, Chen M, et al. Review of underwater test and key technologies of space manipulator[J]. Manned Spaceflight, 2016, 22(1):45-54.
[4] Schwartz J L, Peck M A, Hall C D. Historical review of spacecraft simulators[J]. Advances in the Astronautical Sciences, 2003, 114:405-423.
[5] 李煜琦,邵珠峰,田斯慧,等.基于吊丝配重的空间机械臂零重力模拟装置卸载率分析及评价[J]. 机器人,2016,38(3):293-300.Li Y Q, Shao Z F, Tian S H, et al. Analysis and evaluation on unloading ratio of zero-g simulation device of space manipulator based on suspension system[J]. Robot, 2016, 38(3):293-300.
[6] 徐效农,宋爱国,朱澄澄,等. 基于环境建模与修正的视觉/力觉辅助遥操作系统[J]. 载人航天,2016,22(1):55-61.Xu X N, Song A G, Zhu C C, et al. Visual-haptic aid teleoperation system based on environment modeling and updating[J]. Manned Spaceflight, 2016, 22(1):55-61.
[7] 陈学文,晁建刚,安明,等. 基于体态识别的航天员虚拟训练仿真技术研究[J]. 载人航天,2015,21(3):217-223.Chen X W, Chao J G, An M, et al. Research on simulation technology of astronaut virtual training based on posture recognition[J]. Manned Spaceflight, 2015, 21(3):217-223.
[8] 宋爱国. 力觉临场感的理论与实验研究[D].南京:东南大学,1996.Song A G. Theoretical and experimental research on force telepresence[D]. Nangjing:Southeast University, 1996.
[9] Bo O, Shang W. Rapid optimization of tension distribution for cable-driven parallel manipulators with redundant cables[J]. Chinese Journal of Mechanical Engineering, 2016, 29(2):1-8.
[10] 张立勋,邹宇鹏,隋立明,等. 宇航员康复训练机器人自抗扰力控制[J]. 机器人,2012,34(2):217-222. Zhang L X, Zou Y P, Sui L M, et al. Auto disturbance resistance control of the astronaut rehabilitation training robot[J]. Robot, 2012, 34(2):217-222.
[11] Gouttefarde M, Collard J F, Riehl N, et al. Geometry selection of a redundantly actuated cable-suspended parallel robot[J]. IEEE Transactions on Robotics, 2017, 31(2):501-510.
[12] 曹凌,唐晓强,王伟方. 基于定矢量力输出的八索并联机构索力优化及实验研究[J]. 机器人,2015,37(6):641-647.Cao L, Tang X Q, Wang W F. Tension optimization and experimental research of parallel mechanism driven by 8 cables for constant vector force output[J]. Robot, 2015, 37(6):641-647.
[13] Diao X M, Ma O. Force-closure analysis of 6-DOF cable manipulators with seven or more cables[J]. Robotica, 2009, 27(2):209-215.
[14] 苏宇,仇原鹰,韦慧玲.考虑绳索质量和惯性力影响的绳牵引并联机器人动力学建模和张力优化求解[J]. 工程力学,2016,33(11):231-239.Su Y, Qiu Y Y, Wei H L. Dynamic modeling and tension optimal distribution of cable-driven parallel robots considering cable mass and inertia force effects[J]. Engineering Mechanics, 2016, 33(11):231-239.
[15] Lamaury J, Gouttefarde M. Control of a large redundantly actuated cable-suspended parallel robot[C]//IEEE International Conference on Robotics and Automation. Piscataway, USA:IEEE, 2013:4659-4664.
[16] 张立勋,李来禄,姜锡泽,等. 柔索驱动的宇航员深蹲训练机器人力控与实验研究[J]. 机器人,2017,39(5):733-741.Zhang L X, Li L L, Jiang X Z, et al. Force control and experimental study of a cable-driven robot for astronaut deep squat training[J]. Robot, 2017, 39(5):733-741.
[17] 邹宇鹏. 多模式柔索驱动航天员训练机器人控制研究[D].哈尔滨:哈尔滨工程大学, 2014.Zou Y P. Research on control of multimodal cable driven astronaut training robot[D]. Harbin:Harbin Engineering University, 2014.