动态系统一阶特征模型与线性伺服系统自适应迭代学习控制

Sun Mingxuan, Li Zhile, YU Linjiang
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引用次数: 1

摘要

本文给出了一阶时变差分方程的特征模型。方程中只涉及两个参数。针对基于特征模型的控制问题,提出了自适应迭代学习控制方法,引入了带遗忘因子的学习辨识算法来估计时变未知量。针对永磁同步电机伺服系统,提出了一种基于LQ最优控制策略的自适应迭代学习控制方案。数值和实验结果验证了该控制方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE FIRST-ORDER CHARACTERISTIC MODELS OF DYNAMIC SYSTEMS AND ADAPTIVE ITERATIVE LEARNING CONTROL OF LINEAR SERVO SYSTEMS
This paper presents the first-order time-varying difference equation,the characteristic model.Only two parameters are involved in the equation.The adaptive iterative learning control method is suggested to deal with the characteristic-model based control problem, where the learning identification algorithms with a forgetting factor are introduced to estimate the time-varying unknowns.For PMLSM servo-systems,in this paper,an adaptive iterative learning control scheme is proposed based on the LQ optimal control strategy.Numerical and expereiment results are presented to demonstrate effectiveness of the control scheme.
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