Implementation of min-max MPC using hinging hyperplanes.: Application to a heat exchanger

被引：31
|
作者：
Ramírez, DR [1 ]
Camacho, EF [1 ]
Arahal, MR [1 ]
机构：
[1] Univ Seville, Escuela Super Ingn, Dept Ingn Sistemas & Automat, Seville 41092, Spain
来源：
CONTROL ENGINEERING PRACTICE | 2004年 / 12卷 / 09期
关键词：
predictive control; minimax techniques; hinging hyperplanes; uncertain linear systems; process control;
D O I：
10.1016/j.conengprac.2003.12.011
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Min-max model predictive control (MMMPC) is one of the few control techniques able to cope with modelling errors or uncertainties in an explicit manner. The implementation of MMMPC suffers a large computational burden due to the numerical min-max problem that has to be solved at every sampling time. This fact severely limits the range of processes to which this control structure can be applied. An implementation scheme based on hinging hyperplanes that overcome these problems is presented here. Experimental results obtained when applying the controller to the heat exchanger of a pilot plant are given. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1197 / 1205
页数：9
相关论文
共 50 条
  • [1] An efficient offline implementation for output feedback min-max MPC
    Hu, Jianchen
    Ding, Baocang
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2019, 29 (02) : 492 - 506
  • [2] Min-max MPC using a tractable QP problem
    Alamo, T.
    Ramirez, D. R.
    de la Pena, D. Munoz
    Camacho, E. F.
    [J]. AUTOMATICA, 2007, 43 (04) : 693 - 700
  • [3] Min-max MPC using a tractable QP problem
    Alamo, T.
    Ramirez, D. R.
    Munoz de la Pena, D.
    [J]. 2005 44th IEEE Conference on Decision and Control & European Control Conference, Vols 1-8, 2005, : 6210 - 6215
  • [4] Handling the Constraints in Min-Max MPC
    Hu, Jianchen
    Lv, Xiaoliang
    Pan, Hongguang
    Zhang, Meng
    [J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 21 (01) : 296 - 304
  • [5] Application of an explicit min-max MPC to a scaled laboratory process
    de la Peña, DM
    Ramírez, DR
    Camacho, EF
    Alamo, T
    [J]. CONTROL ENGINEERING PRACTICE, 2005, 13 (12) : 1463 - 1471
  • [6] Min-max predictive control of a heat exchanger using a neural network solver
    [J]. Ramírez, D.R. (danirr@cartuja.us.es), 1600, Institute of Electrical and Electronics Engineers Inc. (12):
  • [7] Min-max predictive control of a heat exchanger using a neural network solver
    Ramírez, DR
    Arahal, MR
    Camacho, EF
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2004, 12 (05) : 776 - 786
  • [8] Neural network based min-max predictive control. Application to a heat exchanger
    Ramirez, DR
    Arahal, MR
    Camacho, EF
    [J]. ADAPTATION AND LEARNING IN CONTROL AND SIGNAL PROCESSING 2001, 2002, : 115 - 120
  • [9] Computational burden reduction in min-max MPC
    Ramirez, D. R.
    Alamo, T.
    Camacho, E. F.
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2011, 348 (09): : 2430 - 2447
  • [10] Min-Max MPC based on a network problem
    Alamo, T.
    de la Pena, D. Munoz
    Camacho, E. R.
    [J]. SYSTEMS & CONTROL LETTERS, 2008, 57 (02) : 184 - 192
12345