位置/力的自学习混合控制及其应用

Learning Hybrid Position/Force Control and Its Application

  • 摘要: 综合了Raibert和Craig提出的机器人位置/力的Hybrid Control及Yoshikawa提出的机器人动态混合控制算法的基本思想,针对作业环境及其力学扰动难以辨识及机构振动等问题,提出了基于机器人装配作业的PI自学习混合控制方法,并根据此方法实现了三自由度机器人的圆柱二维插入作业。实验结果表明,该方法可以有效地实现机器人的销孔装配作业并抑制或缓冲机构的振动现象。

     

    Abstract: This paper combines the robot position/force hybrid control algorithm proposed by Raibert and Craig and the robot dynamic hybrid control algorithm proposed by Yoshikawa. Taking account of the difficulty to identify the environment, especially the effect of mechanical disturbance, and the vibrations of mechanism, a PI learning hybrid control algorithm for using robot to do assembly task was presented. This algorithm was realized in a peg insertion by a three DOF robot. The experiment results showed that this algorithm could effectly realize the peg-and-hole task, and restrain and weaken the vibrations of mechanism.

     

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