Design of indirect-type iterative learning control for continuous-time batch processes with the repetitive process setting

被引:0
作者
Maniarski, Robert [1 ]
Paszke, Wojciech [1 ]
Tao, Hongfeng [2 ]
Zhuang, Zhihe [2 ]
机构
[1] Univ Zielona Gora, Inst Automat Elect & Elect Engn, Ul Szafrana 2, PL-65246 Zielona Gora, Poland
[2] Jiangnan Univ, Minist Educ, Key Lab Adv Proc Control Light Ind, Wuxi 214000, Jiangsu, Peoples R China
来源
2024 14TH ASIAN CONTROL CONFERENCE, ASCC 2024 | 2024年
关键词
Batch processes; iterative learning control; control law design; DELAY;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An indirect iterative learning control law is proposed for a class of continuous-time batch processes with time-varying uncertainties, input delay, and disturbances. First, by designing a predictor based on a state observer we are able to estimate the future state and compensate for the input delay. Then, based on the estimated state we design a robust H-infinity controller in the presence of time-varying uncertainties and load disturbances. Additionally, the differential repetitive process setting for the design of the iterative learning control scheme is applied and hence the convergence of the tracking error in trial-to-trial direction occurs. Finally, the simulation results verify the new method's effectiveness.
引用
收藏
页码:563 / 568
页数:6
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