期刊文献+

基于力传感器的人机协作控制算法研究

Research on Man-machine Collaboration Control Algorithm Based on Force Sensor
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摘要 对类似由人操作进行上下移动的医疗设备,采用辅助的力传感器手柄改进操作方式。提出了基于阻抗模型的人手控制期望计算方法。该方法根据设备的运行状态以及交互力大小估计人的控制意图,并对控制意图进行卡尔曼滤波,以期望减少噪声和避免系统震荡。控制系统以控制期望作为控制量,根据设备的运行速度切换速度控制模式或者位置控制模式。实验证明控制方法能够达到节省人力的目的,并具有较好的控制精度。 The paralleled medical equipment which is operated by human to move up and down, use the auxiliary force sensor handle to improve operation mode. Meanwhile, this paper propose computing method of hand-control expectations based on impedance model, and the method estimate the people's control intents, mainly based on the device operating state and the interaction force, and the control intents are estimated by Kalman filtering to reduce noise and avoid system vibration. The control system use control intentionsas controlled variables, and according to the device speed to switch speed control mode or position control mode. Finally, through experiments show that the control method have achieved the purpose of saving effort, and has better control accuracy.
出处 《机电一体化》 2016年第7期3-6,51,共5页 Mechatronics
关键词 柔顺控制 力操作 电机控制 卡尔曼滤波 compliance control force control motion control Kalman filter
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参考文献8

  • 1莫海军,朱文坚.履带式移动机器人越障稳定性分析[J].机械科学与技术,2007,26(1):65-67. 被引量:30
  • 2YUAN J, ZHANG W, SONG Y, et al. Design of novel terrain adaptable cascading wheeled mobile platform with passive planetary swing structure//Robotics and Biomimet- ics (ROBIO) , 2011 IEEE International Conference [ C]. IEEE, 2011:2580 - 2585.
  • 3张晓东,马礼,高媛.基于视频服务器的视频监控系统的设计[J].微计算机信息,2008,24(1):76-77. 被引量:9
  • 4王鹏,季桂树,张志武.基于TCP协议控制的实时视频流传输系统[J].微机发展,2005,15(10):93-95. 被引量:5
  • 5HUGHES G, DESANTIS A, WASZAK F. Mechanisms of intentional binding and sensory attenuation: The role of temporal prediction, temporal control, identity prediction, and motor prediction [ J]. Psychological bulletin, 2013, 139(1 ) :133 - 151.
  • 6徐国政,宋爱国,李会军.基于模糊逻辑的上肢康复机器人阻抗控制实验研究[J].机器人,2010,32(6):792-798. 被引量:21
  • 7MITSANTISUK C, OHISHI K, KATSURA S, Control of Interaction Force of Twin Direct-Drive Motor System UsingVariable Wire Rope Tension With Multisensor Integration [J]. IEEE Trans. on Industrial Electronics, 2012,59 (7) :498-510.
  • 8TSNG A, CSO Q. Motion control of walking assistant ro- bot based on comfort[ J]. Industrial robot: An internation- al journal, 2012, 39(6) : 564 -579.

二级参考文献18

  • 1谭青,傅可明.自动调平系统在防空火炮中的应用[J].兵工自动化,2004,23(4):10-11. 被引量:14
  • 2乔凤斌,杨汝清.六轮移动机器人爬楼梯能力分析[J].机器人,2004,26(4):301-305. 被引量:39
  • 3张云龙,诸文农,孙冬野,汪洪.履带拖拉机越障失稳机理与试验研究[J].农业机械学报,1996,27(4):7-11. 被引量:6
  • 4Kiguchi K,Rahman M H,Sasaki M,et al.Development of a 3DOF mobile exoskeleton robot for human upper-limb motion assist[J].Robotics and Autonomous Systems,2008,56(8):678-691.
  • 5Richardson R,Jackson A,Culmer E et al.Pneumatic impedance control of a 3-d.o.f.physiotherapy robot[J].Advanced Robotics,2006,20(12):1321-1339.
  • 6Akdo(g)an E,Tacgin E,Adli M A.Knee rehabilitation using an intelligent robotic system[J].Journal of Intelligent Manufacturing,2009,20(2):195-202.
  • 7Veneman J E Kruidhof R,Hekman E E G,et al.Design and evaluation of the LOPES exoskeleton robot for interactive gait rehabilitation[J].IEEE Transactions on Neural Systems and Rehabilitation Engineering,2007,15(3):379-386.
  • 8Zhang L Q,Portland G H,Wang G,et al.Stiffness,viscosity,and upper-limb inertia about the glenohumeral abduction axis[J].Journal of Orthopedic Research,2000,18(1):94-100.
  • 9Mallapragada V,Erol D,Sarkar N,et al.A new method of force control for unknown environments[J].International Journal of Advanced Robotic Systems,2007,4(3):313-322.
  • 10Ju M S,Lin C C K,Lin D H,et al.A rehabilitation robot with force-position hybrid fuzzy controller:Hybrid fuzzy control of rehabilitation robot[J].IEEE Transactions on Neural Systems and Rehabilitation Engineering,2005,13(3):349-358.

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