徐进学, 吴海, 柴天佑, 谈大龙. 基于内模的机器人迭代学习控制[J]. 机器人, 1998, 20(6): 401-406.
引用本文: 徐进学, 吴海, 柴天佑, 谈大龙. 基于内模的机器人迭代学习控制[J]. 机器人, 1998, 20(6): 401-406.
XU Jinxue, WU Hai, CHAI Tianyou, TAN Dalong. AN ITERATIVE LEARNING CONTROL FOR MANIPULATORS BASED ON INTERNAL MODEL[J]. ROBOT, 1998, 20(6): 401-406.
Citation: XU Jinxue, WU Hai, CHAI Tianyou, TAN Dalong. AN ITERATIVE LEARNING CONTROL FOR MANIPULATORS BASED ON INTERNAL MODEL[J]. ROBOT, 1998, 20(6): 401-406.

基于内模的机器人迭代学习控制

AN ITERATIVE LEARNING CONTROL FOR MANIPULATORS BASED ON INTERNAL MODEL

  • 摘要: 本文根据内模控制的概念,设计一个扰动控制器,使机器人系统表现为固定参数的解耦线性化系统.基于此线性系统,提出了一种迭代学习控制律,给出了算法收敛的充分条件.算法的参数选择非常简单,从而易于满足收敛条件.仿真结果表明了算法的有效性.

     

    Abstract: In this paper, a disturbance controller is designed for making robotic system behave as a decoupled linear system according to the concept of internal model. Based on the linear system, the paper presents an iterative learning control algorithm for robotic manipulators. A sufficient condition for convergence is provided. The parameter choice of the algorithm is simple and easy to meet the convergence condition. The simulation results demonstrate the effectiveness of the algorithm.

     

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