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未知环境下柔性二连杆机械臂的自适应阻抗控制 被引量:4

Adaptive Impendence Control of Two-links Flexible Manipulator under Unknown Environments
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摘要 针对机器人与环境接触作业的需求,基于假设模态法建立了刚柔耦合动力学模型,并考虑环境参数不精确干扰,设计了自适应阻抗控制器,分析了其稳定条件。在MATLAB/Simulink中搭建了可对柔性机械臂进行自适应阻抗控制的仿真平台,计算了平面内二连杆柔性机械臂在含有三角形凹陷环境表面的接触运动和柔性变形模态。对比分析了刚性和柔性机械臂位控和力控效果及自适应项对控制响应的影响。基于Staubli机器人展开了实验。结果表明:柔性变形会使得机械臂的位控和力控效果变差;自适应阻抗控制会改善控制响应,对环境不确定具有鲁棒性。设计的自适应阻抗控制可实现柔性机械臂在不规则表面的稳定接触和运动。 For the operation contacting with obj ects,a rigid-flexible coupling dynamics model was established based on the assumed mode approach for two-link flexible manipulators.An adaptive im-pendence scheme was designed to compensate the environment uncertainties and the stability condition was analyzed.The control simulation platform was established using MATLAB/Simulink.The tip motion and deformation mode were computed under manipulator sliding on the surface with the trian-gular crack.Performances of position and force control were compared between the flexible and rigid manipulator,and performances of adaptive impedance control were analyzed.The physical experiment was conducted on Staubli robot.The results show the flexible deformation decreases the position and force control precision,and the adaptive impedance proposed can increase the response time.Adaptive impedance is robust to the environment position uncertainties and can realize the flexible manipulator stably contacting and moving on the not-flat surface.
机构地区 中国计量学院
出处 《中国机械工程》 EI CAS CSCD 北大核心 2014年第17期2351-2355,共5页 China Mechanical Engineering
基金 国家自然科学基金资助项目(50905170) 浙江省自然科学基金资助项目(LQ13E050004 LY14F030021) 质检公益性行业科研专项(201210076)
关键词 机械臂 刚-柔耦合 动力学仿真 自适应阻抗控制 模态 manipulator rigid-flexible coupling dynamics simulation adaptive impendence control mode
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  • 1党进,倪风雷,刘业超,刘宏.柔性机械臂试探前行的碰撞响应控制策略[J].西安交通大学学报,2011,45(9):21-27. 被引量:3
  • 2Akira N A, Yoshimastsu Y, Hayakawa Y. Analy- sis and Synthesis of Stable Grasp by Multi-fingered Robot Hand with Compliance Control[C]//Interna- tional Conference on Control Applications (CCA). Yokohama, Japan: IEEE, 2010: 1582-1589. 被引量:1
  • 3Hogan N. Stable Execution of Contact Tasks Using Impedance Control[C]//International Conference on Robotics and Automation. Raleigh, North Caro- lina: IEEE. 1987:1047-1054. 被引量:1
  • 4Ge S S, Lee T H, Wang J. Adaptive Impedance Control of Mechanical Systems with Classical Non- holonomic Constraints[C]//Proceedings of the In- ternational Conference on Control Applications. Mexico City: IEEE,2001:960-965. 被引量:1
  • 5Albu-Schaffer A, Ott C, Frese U, et al. Cartesian Impedance Control of Redundant Robots: Recent Results with the DLR-light-weight-arms[C]//Pro- ceedings of the International Conference on Robotics and Automation. New York: IEEE, 2003: 3648- 3653. 被引量:1
  • 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
  • 7Surdilovic D. Robust Control Design of Impedance Control for Industrial Robots [C]//Proceedings of the International Conference on Intelligent Robots and Systems. San Diego, CA, USA: IEEE, 2007: 3572-3579. 被引量:1
  • 8Jung S, Hsia T C, Bonitz R G. Force Tracking Im- pedance Control for Robot Manipulators with an Unknown Environment: Theory, Simulation, and Experiment[J] The International Journal of Robot- ics Research,2001, 20: 765-774. 被引量:1
  • 9Seul J, Hsia T C, Bonitz R G. Force Tracking Im- pedance Control of Robot Manipulators under Un- known Environment [J]. IEEE Transactions on Control Systems Technology, 2004, 12(3): 474- 483. 被引量:1
  • 10Maolin J, Sang H K, Pyung H C. Robust Compli- ant Motion Control of Robot With Nonlinear Fric- tion Using Time- Delay Estimation [J]. IEEE Transactions on Industrial Electronics, 2008, 55 (1) : 258-269. 被引量:1

二级参考文献44

  • 1黄剑斌,谢宗武,金明河,蒋再男,刘宏.Adaptive Impedance-controlled Manipulator Based on Collision Detection[J].Chinese Journal of Aeronautics,2009,22(1):105-112. 被引量:11
  • 2蔡国平,洪嘉振.旋转运动柔性梁的假设模态方法研究[J].力学学报,2005,37(1):48-56. 被引量:54
  • 3董得忠,郭军,丁希仑,连华东.双连杆柔性臂动力学建模与仿真分析[J].机械科学与技术,2006,25(4):472-475. 被引量:4
  • 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. 被引量:1
  • 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. 被引量:1
  • 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. 被引量:1
  • 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. 被引量:1
  • 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. 被引量:1
  • 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. 被引量:1
  • 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. 被引量:1

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