An iterative learning control method with application to robot manipulators

Sang-Rok Oh, Z. Bien, I. Suh
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引用次数: 145

Abstract

An iterative learning control algorithm for a class of linear periodic systems is proposed in which parameter estimation is performed in the domain of an iterative sequence of operations with the time frozen. A sufficient condition for the convergence of the proposed algorithm is given. It is also shown that the proposed learning controller can be applied to the continuous path control of robot manipulators. It is noted that the proposed algorithm works reasonably well only for the case of small perturbations with respect to a nominal trajectory. >
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一种应用于机械臂的迭代学习控制方法
针对一类线性周期系统,提出了一种迭代学习控制算法,该算法的参数估计是在时间固定的迭代操作序列域内进行的。给出了该算法收敛的充分条件。研究结果表明,所提出的学习控制器可以应用于机器人机械臂的连续路径控制。值得注意的是,所提出的算法只适用于相对于标称轨迹的小扰动的情况。>
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Omnidirectional supervisory control of a multilegged vehicle using periodic gaits Symbolic derivation of dynamic equations of motion for robot manipulators using Piogram symbolic method A group-theoretic approach to the computation of symbolic part relations Robot calibration and compensation Fixed-axis tool positioning with built-in global interference checking for NC path generation
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