引用本文:陶跃钢,王彩璐,王晓周,杨鹏.康复机器人上肢传递系统的周期稳态与自主控制[J].控制理论与应用,2018,35(1):103~109.[点击复制]
TAO Yue-gang,WANG Cai-lu,WANG Xiao-zhou,YANG Peng.Period steady-state and autonomous control of the upper limb transfer system of rehabilitation robots[J].Control Theory and Technology,2018,35(1):103~109.[点击复制]
康复机器人上肢传递系统的周期稳态与自主控制
Period steady-state and autonomous control of the upper limb transfer system of rehabilitation robots
摘要点击 2786  全文点击 1472  投稿时间:2016-11-24  修订日期:2017-06-24
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DOI编号  10.7641/CTA.2017.60895
  2018,35(1):103-109
中文关键词  极大–加代数  计时事件图  康复机器人  上肢传递系统  周期稳态  扰动估计  自主控制  离散事件系统
英文关键词  max-plus algebra  timed event graph  rehabilitation robot  upper limb transfer system  period steady-state  disturbance estimation  autonomous control  discrete event system
基金项目  国家自然科学基金项目(60774007, 61305101)资助.
作者单位E-mail
陶跃钢* 河北工业大学控制科学与工程学院 yuegangtao@hebut.edu.cn 
王彩璐 河北工业大学控制科学与工程学院  
王晓周 河北工业大学控制科学与工程学院  
杨鹏 河北工业大学控制科学与工程学院  
中文摘要
      研究康复机器人上肢传递系统的周期稳态和自主控制. 运用计时事件图和极大–加代数方法, 建立康复机 器人上肢传递系统的数学模型, 给出传递系统的周期计算公式、周期稳态的扰动估计范围和自主控制策略, 并分析 周期稳态相对于参数扰动的鲁棒性. 周期稳态的扰动估计可用于提高上肢康复机器人工作的精确性和柔顺性, 而 自主控制策略有益于保证上肢康复机器人工作的实时性和安全性. 扰动估计和自主控制方法易于计算, 并有助于 上肢康复机器人传递运动智能辅助系统的设计、控制和优化.
英文摘要
      This paper investigates the period steady-state and autonomous control of the upper limb transfer system of rehabilitation robots. By using timed event graph and max-plus algebra, the mathematical model of the transfer system is established. The period formula, range of disturbance estimation and strategy of autonomous control are presented, and the robust stability with respect to the parameter perturbation is analyzed. The disturbance estimation of the period steady state can be used to improve the accuracy and compliance of the upper limb rehabilitation robot work, and the strategy of autonomous control is beneficial to ensure the real-time and safety of the robot work. The proposed estimation and control methods are easy to implement and can help to design, control and optimize the intelligent auxiliary system of the upper limb transfer movement of rehabilitation robots.