Adaptive Iterative Learning Control Approach for PH Neutralization of Batch Processes

被引：0
|
作者：
Chi, Ronghu [1 ]
Liu, Yu [1 ]
Hou, Zhongsheng [2 ]
Jin, Shangtai [2 ]
机构：
[1] Qingdao Univ Sci & Technol, Sch Automat & Elect Engn, Qingdao, Peoples R China
[2] Beijing Jiaotong Univ, Adv Control Syst Lab, Beijing, Peoples R China
来源：
2015 10TH ASIAN CONTROL CONFERENCE (ASCC) | 2015年
关键词：
PH neutralization; adaptive iterative learning control; batch processes;
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：
This paper presents an adaptive iterative learning control approach for the PH neutralization in Batch Processes. The proposed approach includes a feedback control law and a parameter iterative updating law together. The parameter updating law is designed by a projection algorithm to estimate the time-varying parametric uncertainties of the PH neutralization. Both the rigorous analysis and the simulation results illustrate the applicability and effectiveness of the proposed approach.
引用
收藏
页数：5
相关论文
共 50 条
  • [31] 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
  • [32] 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
  • [33] 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
  • [34] 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
  • [35] ADAPTIVE pH CONTROL SYSTEM FOR FED-BATCH BIOCHEMICAL PROCESSES
    Galvanauskas, Vytautas
    INFORMATION TECHNOLOGY AND CONTROL, 2009, 38 (03): : 225 - 231
  • [36] 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
  • [37] 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
  • [38] A robust integrated model predictive iterative learning control strategy for batch processes
    Liuming ZHOU
    Li JIA
    Yu-Long WANG
    Science China(Information Sciences), 2019, 62 (11) : 212 - 214
  • [39] Iterative learning model predictive control for multi-phase batch processes
    Wang, Youqing
    Zhou, Donghua
    Gao, Furong
    JOURNAL OF PROCESS CONTROL, 2008, 18 (06) : 543 - 557
  • [40] Guaranteed Cost Iterative Learning Control for Multi-Phase Batch Processes
    王立敏
    王润泽
    熊玉婷
    王浩森
    朱琳
    张可
    高福荣
    Journal of Shanghai Jiaotong University(Science), 2018, 23 (06) : 811 - 819
12345