首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于旋量理论的上肢康复机器人Kane动力学方程
引用本文:李鸿儒,姜志斌,武 玮.基于旋量理论的上肢康复机器人Kane动力学方程[J].东北大学学报(自然科学版),2014,35(2):153-157.
作者姓名:李鸿儒  姜志斌  武 玮
作者单位:(东北大学 信息科学与工程学院, 辽宁 沈阳110819)
基金项目:国家自然科学基金资助项目(61074098).
摘    要:引入基于旋量理论的运动旋量、力旋量及偏速度旋量等概念,推导得出五自由度上肢康复机器人的Kane动力学方程.结果表明,采用旋量理论分析机器人更加简明有效,比建立局部坐标系的D-H法更简易.Kane方程的求解只需加、减、乘运算,与拉格朗日、牛顿-欧拉等非线性动力学方程相比,计算效率更高,更易于实现实时控制.通过仿真研究了机器人各关节从初始位形到准备位形的角位移、角速度、角加速度以及驱动力矩,验证了基于旋量理论的Kane方程的正确性和有效性.

关 键 词:上肢康复机器人  旋量理论  偏速度旋量  动力学  Kane方程  

Kane Dynamic Equations Based on Screw Theory for Upper Limb Rehabilitation Robot
LI Hong ru,JIANG Zhi bin,WU Wei.Kane Dynamic Equations Based on Screw Theory for Upper Limb Rehabilitation Robot[J].Journal of Northeastern University(Natural Science),2014,35(2):153-157.
Authors:LI Hong ru  JIANG Zhi bin  WU Wei
Institution:School of Information Science & Engineering, Northeastern University, Shenyang 110819, China.
Abstract:Based on the screw theory, the concepts of motion screw, force screw and partial velocity screw were introduced. Then Kane dynamic equations were derived for an upper limb rehabilitation robot with 5 DOF. Simulation results show that dynamics analysis for the robot based on the screw theory is more concise and explicit than that based on the D H method in which local coordinate systems are used. The solution of Kane equations only involves addition, subtraction and multiplication, so the method has higher calculation efficiency than nonlinear Lagrange and Newton Euler dynamic equations and is easier to implement real time control. The robotic joint curves of angular displacements, angular velocities, angular accelerations were studied by simulation from initial configuration to ready configuration. The conclusion validates the correctness and effectiveness of Kane equations based on the screw theory.
Keywords:upper limb rehabilitation robot  screw theory  partial velocity screw  dynamics  Kane equations
本文献已被 CNKI 等数据库收录!
点击此处可从《东北大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《东北大学学报(自然科学版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号