本文研究了网络控制系统中迭代学习控制方法,借鉴网络控制系统的分层结构形式,提出了一种远程开环本地闭环的迭代学习控制形式.这种形式的学习律中,只有开环学习律的离散数据通过网络传输,对控制系统进行前馈补偿同时降低了网络丢包对系统的实时影响.针对线性系统,利用2-D系统的分析方法,给出了网络控制中开闭环迭代学习控制的收敛性判别条件.仿真和实验结果证实了所提方法的可行性和有效性.
Inspired by the hierarchical structure of networked control systems (NCSs), we propose a novel open-closed- loop iterative learning control (ILC) method for NCSs. In this method, only the off-line data are transmitted over the network, thus the side effects of the time-delay in network transmission have been reduced. The criterion of convergence is derived with the analytical methods of 2-D system for linear system. Simulation and experiment results show the feasibility and effectiveness of the proposed method.