Iterative Learning Control for 2-D linear discrete systems with Roessor's model

Fan Wu, Xiao-dong Li
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引用次数: 10

Abstract

Almost all existing Iterative Learning Control (ILC) methods are specifically designed for the one-dimensional dynamical systems. And many two-dimensional dynamical systems are often required to do repeatable works in engineering fields. This paper presents a novel P-type ILC rule for the two-dimensional systems represented by Roessor's model. The proof on convergence of the proposed ILC rule is based on the solution formula of the two-dimensional Roessor's model in ILC process. By transferring the ILC tracking errors into a one-dimensional system in iteration direction, the convergence condition of the proposed ILC rule is derived.
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基于Roessor模型的二维线性离散系统迭代学习控制
现有的迭代学习控制(ILC)方法几乎都是专门针对一维动态系统设计的。在工程领域中,许多二维动力系统经常需要做重复性的工作。针对Roessor模型表示的二维系统,提出了一种新的p型ILC规则。基于二维Roessor模型在ILC过程中的求解公式,证明了所提ILC规则的收敛性。通过将ILC跟踪误差在迭代方向上转化为一维系统,推导了所提ILC规则的收敛条件。
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