华南理工大学学报(自然科学版) ›› 2008, Vol. 36 ›› Issue (10): 108-113.

• 机械工程 • 上一篇    下一篇

外骨骼机器人手指的鲁棒跟踪控制

王建宇谢宗武刘宏1.2   

  1. 1. 哈尔滨工业大学 机器人研究所, 黑龙江 哈尔滨 150001 ;2. 德国宇航中心, 德国 慕尼黑
  • 收稿日期:2007-10-18 修回日期:2008-02-01 出版日期:2008-10-25 发布日期:2008-10-25
  • 通信作者: 王建宇(1974-),男,博士生,主要从事机器人技术研究. E-mail:jywang_hit@yahoo.com.cn
  • 作者简介:王建宇(1974-),男,博士生,主要从事机器人技术研究.
  • 基金资助:

    国家“863”高技术计划项目(2006AA04Z255)

Robust Tracking Control of Exoskeleton Robot Finger

Wang Jian-yu1  Xie Zong-wu Liu Hong 1.2   

  1. 1. Robotics Institute, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China; 2. Institute of Robotics and Mechatronics, German Aerospace Center, Munich, Germany
  • Received:2007-10-18 Revised:2008-02-01 Online:2008-10-25 Published:2008-10-25
  • Contact: 王建宇(1974-),男,博士生,主要从事机器人技术研究. E-mail:jywang_hit@yahoo.com.cn
  • About author:王建宇(1974-),男,博士生,主要从事机器人技术研究.
  • Supported by:

    国家“863”高技术计划项目(2006AA04Z255)

摘要: 基于外骨骼机器人手指系统的动力学模型,提出了机器人鲁棒μ控制器的设计方法.分析了系统模型的不确定性,将负载动力学作为系统的反馈不确定,建立了合理的被控对象标称模型.基于高速DSP实现鲁棒控制器的数字化,在μ控制器的设计和数字实现过程中考虑了机器人系统的计算延时.通过实验评估采样延时对机器人控制器鲁棒性能的影响.实验结果表明,μ控制器能够抑制干扰和模型不确定性对机器人系统的影响,具有很好的鲁棒稳定性和鲁棒性能.

关键词: 外骨骼机器人手指, 鲁棒控制, μ综合, 采样延时

Abstract:

This paper proposes a design method of the μ-synthesis robust controller for the exoskeleton robot finger based on its dynamic model. In the investigation, first, the uncertainty of the system model is analyzed, and the load dynamics is presented as a feedback uncertainty model to establish a proper nominal model of the controlled object. Then, based on the high-speed digital signal processor (DSP), the robust digital controller is implemented, with the calculation delay of the robot system being considered in the design and implementation process. Finally, some experiments have been performed to evaluate the effect of sampling delay on the robustness of the controller. The results indicate that the proposed μ-controller effectively reduces the influences of disturbance and model uncertainty on the robot system and that it possesses good robust stability and robustness.

Key words: exoskeleton robot finger, robust control, μ-synthesis, sampling delay