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高速运动机器人动力学及控制策略研究 被引量:3

Research on dynamic and control strategy of high speed robot
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摘要 机器人高速运动时关节柔性会对关节轨迹造成较大影响,必须对其造成的振动加以研究和控制。文章通过简化机器人的柔性关节,从动力学角度对机器人高速工作过程进行仿真,分析关节柔性及其大小对关节轨迹的影响;采用奇异摄动复合控制策略,将高速机器人系统分为快、慢2个独立子系统,分别为其设计控制器,加和后作为整个系统的控制输入。控制系统仿真结果表明,该控制策略能够实现轨迹的精确跟踪和振动的有效抑制。 The joint flexibility will have a great influence on the trajectory of the robot when it is moving at high speed, so the vibration caused by flexibility must be studied and controlled. A simplified dynamic simulation model of the flexible joint of the robot was established. By analyzing the dynamic simulation results, the effect of joint flexibility on robot trajectory was concluded. Based on the complex control strategy of singular perturbation, high speed robot was divided into two independent subsystems, namely the slow subsystem and the fast subsystem, and the controllers were designed for the independent subsystems, the sum of which was taken as the control input of the whole system. The simulation results showed that the control strategy can realize the accurate trajectory tracking and the effective suppression of the vibration.
作者 王勇 朱龙杰 钱为 陈胜 张溥海 WANG Yong;ZHU Longjie;QIAN Wei;CHEN Sheng;ZHANG Puhai(School of Mechanical Engineering,Hefei University of Technology,Hefei 230009,China)
出处 《合肥工业大学学报(自然科学版)》 CAS 北大核心 2018年第3期294-298,317,共6页 Journal of Hefei University of Technology:Natural Science
基金 安徽省重点实验室建设资助项目(JZ2015AKSY0543) 合肥工业大学产学研校企合作资助项目(W2015JSKF0461)
关键词 高速机器人 动力学分析 轨迹控制 奇异摄动 high speed robot dynamic analysis trajectory control singular perturbation
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  • 1马香峰,机器人机构学,1991年
  • 2Ghorbel F, Hung J Y, Spong M W. Adaptive control of flexiblejoint manipulators[J]. IEEE Control Systems Magazine, 1989, 9(7): 9-13.
  • 3Slotine J J E, Li W. Adaptive manipulator control: A case study[J]. IEEE Transactions on Automatic Control, 1988, 33(11): 995-1003.
  • 4Tomei E Tracking control of flexible joint robots with uncertain parameters and disturbances[J]. IEEE Transactions on Automatic Control, 1994, 39(5): 1067-1072.
  • 5Tomei R An observer for flexible joint robots[J]. IEEE Transactions on Automatic Control, 1990, 35(6): 739-743.
  • 6Ge S S, Lee T H, Tan E G. Adaptive neural network control of flexible joint robots based on feedback linearization[J]. International Journal of Systems Science, 1998, 29(6): 623-635.
  • 7Yuan J, Stepanenko Y. Composite adaptive control of flexible joint robots[J]. Automatica, 1993, 29(3): 609-619.
  • 8Chien M C, Huang A C. Adaptive control for flexible-joint electrically driven robot with time-varying uncertainties[J]. IEEE Transactions on Industrial Electronics, 2007, 54(2): 1032-1038.
  • 9Abdollahi F, Talebi H A, Patel R V. A stable neural networkbased observer with application to flexible-joint manipulators[J]. IEEE Transactions on Neural Networks, 2006, 17(1): 118-129.
  • 10Pomet J B, Praly L. Adaptive nonlinear regulation: Estimation from the Lyapunov equation[J]. IEEE Transactions on Automatic Control, 1992, 37(6): 729-740.

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