Stability Monitoring of Batch Processes with Iterative Learning Control

被引：2

作者：

Wang, Yan ^{[1
]}

Sun, Junwei ^{[1
]}

Lou, Taishan ^{[1
]}

Wang, Lexiang ^{[1
]}

机构：

[1] Zhengzhou Univ Light Ind, Coll Elect & Informat Engn, Zhengzhou 450002, Peoples R China

来源：

ADVANCES IN MATHEMATICAL PHYSICS | 2017年 / 2017卷

基金：

中国国家自然科学基金;

关键词：

PCA;

D O I：

10.1155/2017/5912651

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In recent years, the iterative learning control (ILC) is widely used in batch processes to improve the quality of the products. Stability is a preoccupation of batch processes when the ILC is applied. Focusing on the stability monitoring of batch processes with ILC, a method based on innerwise matrix with considering the uncertainty of the model and disturbance was proposed. First, the batch process with ILC was derived as a two-dimensional autoregressive and moving average (2D-ARMA) model. Then two kinds of stability indices are constructed based on the innerwise matrix through the identification of the 2D-ARMA. Finally, the statistical process control (SPC) chart was adopted to monitor those stability indices. Numerical results are presented to demonstrate the effectiveness of the proposed method.

引用

页数：7

共 50 条

[21] Adaptive Iterative Learning Control Approach for PH Neutralization of Batch Processes
Chi, Ronghu
Liu, Yu
Hou, Zhongsheng
Jin, Shangtai
2015 10TH ASIAN CONTROL CONFERENCE (ASCC), 2015,
[22] Iterative Learning Model Predictive Control for a Class of Continuous/Batch Processes
Zhou Mengfei
Wang Shuqing
Jin Xiaoming
Zhang Quanling
CHINESE JOURNAL OF CHEMICAL ENGINEERING, 2009, 17 (06) : 976 - 982
[23] An Efficient Iterative Learning Predictive Functional Control for Nonlinear Batch Processes
Liu, Xiangjie
Ma, Lele
Kong, Xiaobing
Lee, Kwang Y.
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (06) : 4147 - 4160
[24] An Integrated Model Predictive Iterative Learning Control Strategy for Batch Processes
Han, Chao
Jia, Li
THEORY, METHODOLOGY, TOOLS AND APPLICATIONS FOR MODELING AND SIMULATION OF COMPLEX SYSTEMS, PT I, 2016, 643 : 127 - 135
[25] Iterative learning control for a class of nonlinear batch processes with state delay
Sun Y.
Xia P.
Lin H.
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2011, 33 (02): : 380 - 384
[26] Improved Iterative Learning Model Predictive Control for Nonlinear Batch Processes
Zhou, Chengyu
Jia, Li
Li, Jianfang
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2025, 35 (06) : 2130 - 2141
[27] Iterative Learning Control (ILC) Guided Reinforcement Learning Control (RLC) Scheme for Batch Processes
Xu, Xinghai
Xie, Huimin
Shi, Jia
PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20), 2020, : 241 - 246
[28] Tracking control for batch processes through integrating batch-to-batch iterative learning control and within-batch on-line control
Xiong, ZH
Zhang, J
Wang, X
Xu, YM
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2005, 44 (11) : 3983 - 3992
[29] Latent variable iterative learning model predictive control for multivariable control of batch processes
Li, Xinwei
Zhao, Zhonggai
Liu, Fei
JOURNAL OF PROCESS CONTROL, 2020, 94 (94) : 1 - 11
[30] Monitoring and control of batch processes
Lennox, B
Marjanovic, O
Sandoz, D
Lovett, D
CONTROL ENGINEERING, 2005, 52 (05) : IP9 - IP12

← 1 2 3 4 5 →