基于内模的机器人迭代学习控制
AN ITERATIVE LEARNING CONTROL FOR MANIPULATORS BASED ON INTERNAL MODEL
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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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