Integrated iterative learning control strategy for batch processes

被引：0

作者：

Jia, Li ^{[1
]}

Yang, Tian ^{[1
]}

Chiu, Min-Sen ^{[2
]}

机构：

[1] Shanghai Key Laboratory of Power Station Automation Technology, Shanghai University, Shanghai

[2] Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore

来源：

Communications in Computer and Information Science | 2014年 / 462卷

基金：

中国国家自然科学基金;

关键词：

Batch process; Integrated learning control; Iterative learning control; Time-varying perturbation model;

D O I：

10.1007/978-3-662-45261-5_44

中图分类号：

学科分类号：

摘要：

An integrated iterative learning control strategy based on time-varying perturbation models for batch processes is proposed in this paper. A linear perturbation model is firstly obtained in order to control the perturbation variables rather than the actual process variables themselves. Next, an integrated control strategy which combines ILC with real-time feedback control is used to control the perturbation model. It leads to superior tracking performance and better robustness against disturbance and uncertainty. Lastly, the effectiveness of the proposed method is verified by examples. © Springer-Verlag Berlin Heidelberg 2014.

引用

页码：419 / 427

页数：8

共 25 条

[1]

Bonvin D., Optimal operation of batch reactors: A personal view, Journal of Process Control, 8, pp. 355-368, (1998)

[2]

Xiong Z.H., Zhang J., Wang X., Xu Y.M., Integrated tracking control strategy for batch processes using a batch-wise linear time-varying perturbation model, Control Theory &Amp

[3]

Applications, 1, pp. 178-188, (2007)

[4]

Lu N., Gao F., Stage-based process analysis and quality prediction for batch processes, Industrial and Engineering Chemistry Research, 44, pp. 3547-3555, (2005)

[5]

Lee J.H., Lee K.S., Iterative learning control applied to batch processes: An overview, Control Engineering Practice, 15, pp. 1306-1318, (2007)

[6]

Arimoto S., Kawamura S., Miyazaki F., Bettering operation of robots by learning, J. Robotic Systems, 1, pp. 123-140, (1984)

[7]

Lee K.S., Chin I.S., Lee H.J., Lee J.H., Model predictive control technique combined with iterative learning control for batch processes, Aiche J, 45, pp. 2175-2187, (1999)

[8]

Chien C.J., Liu J.S., P2type iterative learning controller for robust output tracking of nonlinear time varying systems, Int. J. Control, 64, pp. 319-334, (1996)

[9]

Rogers E., Owens D.H., Stability analysis for linear repetitive processes, LNCIS, 175, (1992)

[10]

Li X.D., Chow T., Ho J., 2-D system theory based iterative learning control for linear continuous systems with time delays, IEEE Transactions on Circuits and Systems-I: Regular Papers, 52, pp. 1421-1430, (2005)

← 1 2 3 →