Two-stage workflow control with a predictive component

被引:1
|
作者
Vladov, Yury R. [1 ]
Vladova, Alla Yu. [2 ]
机构
[1] Russian Acad Sci, Ural Branch, Orenburg Sci Ctr, Orenburg, Russia
[2] Russian Acad Sci, Inst Control Sci, Moscow, Russia
来源
IFAC PAPERSONLINE | 2018年 / 51卷 / 32期
关键词
Optimal Control; Real-Time Control Problems; Robust Control and Stabilization;
D O I
10.1016/j.ifacol.2018.11.464
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Background. Despite the wide use of controllers with proportional-integral-differential control law (PID controllers), the issue of expanding the limited functionality of not taking into account the trend of changing technological parameters is open. Methods. The control action is formed taking into account the predicted value of the technological parameter. Verification. The proposed method is verified for the reactor that processes the waste gases in sulfur production. Conclusions. Using a PID controller with a predictive component significantly improves the quality of control, reduces the maximum deviations of process parameters from specified values, contributing to additional energy saving and a significant increase in the efficiency of automated process units in the oil and gas industry and mechanical engineering. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:712 / 716
页数:5
相关论文
共 50 条
  • [1] A Two-Stage Economic Optimization and Predictive Control for EV Microgrid
    Zou, Yuanyuan
    Li, Shaoyuan
    Dong, Yi
    Niu, Yugang
    [J]. IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2018, : 5951 - 5956
  • [2] A Two-stage Model Predictive Control for Modular Multilevel Converters
    Ma, Wenzhong
    Sun, Peng
    Zhou, Guanyu
    Sailijiang, Gulipali
    Zhang, Ziang
    Liu, Yong
    Wang, Yubin
    [J]. Dianwang Jishu/Power System Technology, 2020, 44 (04): : 1419 - 1427
  • [3] Two-Stage Model Predictive Control for Voltage Collapse Prevention
    Gong, Bo
    Hiskens, Ian A.
    [J]. 2008 40TH NORTH AMERICAN POWER SYMPOSIUM (NAPS 2008), 2008, : 728 - +
  • [4] Two-stage optimization for machine learning workflow
    Quemy, Alexandre
    [J]. INFORMATION SYSTEMS, 2020, 92
  • [5] Two-stage optimal component analysis
    Wu, Yiming
    Liu, Xiuwen
    Mio, Washington
    Gallivan, K. A.
    [J]. 2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS, 2006, : 2041 - +
  • [6] Two-stage optimal component analysis
    Wu, Yiming
    Liu, Xiuwen
    Mio, Washington
    Gallivan, K. A.
    [J]. COMPUTER VISION AND IMAGE UNDERSTANDING, 2008, 110 (01) : 91 - 101
  • [7] Design of Model Predictive Control to stabilize Two-Stage Inverted Pendulum
    Firmansyah, Rifqi
    Saputra, Pressa P. Surya
    [J]. 2020 THIRD INTERNATIONAL CONFERENCE ON VOCATIONAL EDUCATION AND ELECTRICAL ENGINEERING (ICVEE): STRENGTHENING THE FRAMEWORK OF SOCIETY 5.0 THROUGH INNOVATIONS IN EDUCATION, ELECTRICAL, ENGINEERING AND INFORMATICS ENGINEERING, 2020,
  • [8] Two-Stage Series Model Predictive Torque Control for PMSM Drives
    Zhang, Xiaoguang
    Yan, Kang
    Cheng, Ming
    [J]. IEEE TRANSACTIONS ON POWER ELECTRONICS, 2021, 36 (11) : 12910 - 12918
  • [9] Robust Nonlinear Model Predictive Control for Two-Stage Anaerobic Digesters
    Piceno-Diaz, Ennio R.
    Ricardez-Sandoval, Luis A.
    Gutierrez-Limon, Miguel A.
    Mendez-Acosta, Hugo O.
    Puebla, Hector
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2020, 59 (52) : 22559 - 22572
  • [10] A Two-stage Model Predictive Control Strategy for Economical Operation of Microgrid
    Yu, Jialin
    Jin, Hai
    Zhang, Yanqun
    Liu, Chuang
    Xiao, Longhai
    [J]. PROCEEDINGS OF THE 15TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2020), 2020, : 882 - 887