An Anticipatory Terminal Iterative Learning Control Approach with Applications to Constrained Batch Processes

被引：2

作者：

Chi Ronghu ^{[1
]}

Zhang Dexia ^{[1
]}

Liu Ximei ^{[1
]}

Hou Zhongsheng ^{[2
]}

Jin Shangtai ^{[2
]}

机构：

[1] Qingdao Univ Sci & Technol, Sch Automat & Elect Engn, Qingdao 266042, Peoples R China

[2] Beijing Jiaotong Univ, Adv Control Syst Lab, Beijing 100044, Peoples R China

来源：

CHINESE JOURNAL OF CHEMICAL ENGINEERING | 2013年 / 21卷 / 03期

基金：

中国国家自然科学基金;

关键词：

terminal iterative learning control; batch-to-batch processes; input saturation; convergence analysis; NONLINEAR-SYSTEMS; CONTROL STRATEGY; CONTROL DESIGN; MODELS; OPTIMIZATION; ROBOTS;

D O I：

10.1016/S1004-9541(13)60485-2

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

This work presents an anticipatory terminal iterative learning control scheme for a class of batch processes, where only the final system output is measurable and the control input is constant in each operations. The proposed approach works well with input constraints provided that the desired control input with respect to the desired trajectory is within the saturation bound. The tracking error convergence is established with rigorous mathematical analysis. Simulation results are provided to show the effectiveness of the proposed approach.

引用

页码：271 / 275

页数：5

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