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An integrated iterative learning control strategy with model identification and dynamic R-parameter for batch processes
文献类型:期刊论文
作者:Jia, Li[1]  Yang, Tian[2]  Chiu, Minsen[3]  
机构:[1]Shanghai Univ, Shanghai Key Lab Power Stn Automat Technol, Dept Automat, Coll Mechatron Engn & Automat, Shanghai 200072, Peoples R China.;
[2]Shanghai Univ, Shanghai Key Lab Power Stn Automat Technol, Dept Automat, Coll Mechatron Engn & Automat, Shanghai 200072, Peoples R China.;
[3]Natl Univ Singapore, Dept Chem & Biomol Engn, Singapore 117576, Singapore.;
通讯作者:Jia, L.(jiali@staff.shu.edu.cn)
年:2013
期刊名称:JOURNAL OF PROCESS CONTROL影响因子和分区
卷:23
期:9
页码范围:1332-1341
增刊:正刊
学科:工程学
收录情况:SCI(E)(WOS:000327005700010)  EI(20134216850329)  
所属部门:机电工程与自动化学院
语言:外文
ISSN:0959-1524
被引频次:16
人气指数:93
浏览次数:93
基金:National Natural Science Foundation of China [61004019, 61374044]; Shanghai Science Technology Commission [12510709400]; Shanghai University; "11th Five-Year Plan" Construction Project
关键词:Batch process; Integrated learning control; Iterative learning control (ILC); Model identification; Dynamic parameter
摘要:
An integrated iterative learning control strategy with model identification and dynamic R-parameter is proposed in this paper. It systematically integrates discrete-time (batch-axis) information and continuous-time (time-axis) information into one uniform frame, namely the iterative learning controller in the domain of batch-axis, while a PID controller (PIDC) in the domain of time-axis. As a result, the operation policy of batch process can be regulated during one batch, which leads to superior ...More
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