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Simulation Study on Trajectory Tracking in Manipulator Based on the Iterative Learning Control Algorithm

机译:基于迭代学习控制算法的操纵器轨迹跟踪仿真研究

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There is a kind of problem about trajectory tracking in the actual control; its main task is to find the control law u(t), by which the output y(t) of the controlled plant can track the desired trajectory during the limited time interval [0,T] with zero error. Aiming at this kind of problem, the iterative learning control algorithm is proposed. In this algorithm, the control law u(t) is amended by the previous error information so that the repeated task can be done better in the next operation. Through this interaction, the output in the whole time interval can track the desired trajectory. In this paper, the iterative learning control algorithm is applied in the trajectory tracking system of manipulator, and the tracking results are simulated.
机译:关于实际控制中的轨迹跟踪存在一种问题;其主要任务是找到控制律u(t),通过该控制法u(t),通过该控制法,控制设备的输出y(t)可以在有限的时间间隔内跟踪所需的轨迹[0,t],零误差。针对这种问题,提出了迭代学习控制算法。在该算法中,控制律u(t)由先前的错误信息修改,以便在下一次操作中可以更好地完成重复的任务。通过这种交互,整个时间间隔中的输出可以跟踪所需的轨迹。在本文中,应用于操纵器的轨迹跟踪系统中的迭代学习控制算法,并模拟跟踪结果。

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