Iterative Learning Control for Distributed Parameter Systems Based on Non-Collocated Sensors and Actuators  

作　　者：Jianxiang Zhang Baotong Cui Xisheng Dai Zhengxian Jiang 

机构地区：[1]Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education),School of Internet of Things Engineering,Jiangnan University,Wuxi 214122,China [2]School of Electrical and Information Engineering,Guangxi University of Science and Technology,Liuzhou 545006,China [3]School of Science,Jiangnan University,Wuxi 214122,China

出　　处：《IEEE/CAA Journal of Automatica Sinica》2020年第3期865-871,共7页自动化学报（英文版）

基　　金：supported by National Natural Science Foundation of China(61807016);Postgraduate Research and Practice Innovation Program of Jiangsu Province(KYCX18-1859)。

摘　　要：In this paper, an open-loop PD-type iterative learning control(ILC) scheme is first proposed for two kinds of distributed parameter systems(DPSs) which are described by parabolic partial differential equations using non-collocated sensors and actuators. Then, a closed-loop PD-type ILC algorithm is extended to a class of distributed parameter systems with a non-collocated single sensor and m actuators when the initial states of the system exist some errors. Under some given assumptions, the convergence conditions of output errors for the systems can be obtained. Finally, one numerical example for a distributed parameter system with a single sensor and two actuators is presented to illustrate the effectiveness of the proposed ILC schemes.

关 键 词：Actuators distributed PARAMETER system ITERATIVE learning control PD-type ILC scheme sensors 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程] TP212[自动化与计算机技术—控制科学与工程]