指数稳定的机器人鲁棒跟踪控制

AN EXPONENTIALLY STABLE ROBUST TRACKING CONTROL OF ROBOT MANIPULATORS

  • 摘要: 本文提出了一种用于控制具有参数不确性机器人轨迹跟踪的鲁棒控制策略,该控制器的设计根据Lyapunov理论,由一个基于Slotine方法8的标称控制器和一个非线性连续反馈补偿器组成.对二自由度的机器人的仿真结果表明,对系统的参数不确定性影响可通过连续反馈的补偿器给以消除,最后可使输出跟踪误差达到全局指数收敛.另外,在机器人参数不确定性上界未知时,我们修改了控制器,并得出全局渐近收敛的结果.

     

    Abstract: This paper proposes a robust control algorithm for the trajectory tracking of robot manipulators with parametric uncertainty. The controller is designed based on a Lyapunov method , which consists of a nominal control part and a continuous state feedback compensator. It is shown that the effect of large parametric uncertainty can be eliminated and exponential stability can be guaranteed by using a continuous state feedback controller in the closed loop system for the robot manipulator. In addition, when the upper bound on the parametic uncertainty is assumed to be unknown, we modify the control scheme by introducing a simple estimation law in order that globally asymptotic stablity can be guaranteed.

     

/

返回文章
返回