基于影响函数的迭代学习算法设计及应用

针对线性离散系统的迭代学习控制问题进行了讨论,提出一种新型的迭代学习控制算法.该算法通过引入一个影响函数,实现了以前时刻控制信息对当前控制量的影响,进而采用2D理论通过对算法的收敛性分析,得到了与普通算法同样的收敛条件,但是相对于传统迭代算法由于包含了更多了控制信息,因此具有更快的收敛速度,最后的无刷直流电机以及一个二阶系统的控制效果也证实了这个结论.

The design of the ILC algorithm based on an affecting function and its application

The iterative learning controller(ILC) is discussed for the linear discrete system,and a new type of ILC algorithm is presented in this paper.This algorithm achieves the effect of the previously controlling information to the currently controlling,using a affecting function.After analyzing the convergence of the new algorithm,the condition of the convergence is gotten which is same with the traditional ILC algorithm.But for the reason of containing more controlling information,the new ILC algorithm has fast...