On the physical meaning of minimization criterion for Model Predictive Control

被引：0
|
作者：
Hazyuk, Ion [1 ,2 ]
Ghiaus, Christian [2 ]
机构：
[1] Tech Univ Cluj Napoca, Str C Daicoviciu 15, Cluj Napoca 400020, Romania
[2] Univ Lyon, CNRS, INSA Lyon, CETHIL,UMR5008, Villeurbanne, France
来源：
PROCEEDINGS OF 2010 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION, QUALITY AND TESTING, ROBOTICS (AQTR 2010), VOLS. 1-3 | 2010年
关键词：
optimal control; cost function; energy minimization; weighting factors tuning;
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：
The present work is aimed to investigate the minimization criterion used in Model Predictive Control (MPC). The paper shows that minimization of currently used objective function in MPC does not minimize the consumed energy in the case of true bond graph models of the systems. Thus, it is proposed to use another criterion which removes this drawback. A consequence of this change is that the algorithm does not cancel the steady-state error of the system. Therefore a cancelation of the offset error by tuning the weighting coefficients is proposed.
引用
收藏
页数：6
相关论文
共 50 条
  • [1] Minimization of constraint violation probability in model predictive control
    Bruedigam, Tim
    Gassmann, Victor
    Wollherr, Dirk
    Leibold, Marion
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2021, 31 (14) : 6740 - 6772
  • [2] Model predictive control by change control rate maximization and control action minimization
    Bdirina, El Khansa
    Guesmi, Kamel
    EEA - Electrotehnica, Electronica, Automatica, 2019, 67 (02): : 68 - 75
  • [3] CI ENGINE MODEL PREDICTIVE CONTROL WITH AVAILABILITY DESTRUCTION MINIMIZATION
    Abotabik, Muataz
    Meyer, Richard T.
    PROCEEDINGS OF THE ASME INTERNAL COMBUSTION ENGINE FALL TECHNICAL CONFERENCE, 2018, VOL 1, 2019,
  • [4] Identification and predictive control of ARX model by p norm minimization
    Pekar, J
    Stecha, J
    Havlena, V
    PROCEEDINGS OF THE 23RD IASTED INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION, AND CONTROL, 2004, : 62 - 67
  • [5] Nonlinear Model Predictive Control for Traction Motor Degradation Minimization
    Samaranayake, Lilantha
    Longo, Stefano
    2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2015, : 3681 - 3686
  • [6] A Parallel Algorithm of Stochastic Model Predictive Control by Partial Minimization
    Fukao, Masaki
    Ohtsuka, Toshiyuki
    OPTIMAL CONTROL APPLICATIONS & METHODS, 2025,
  • [7] Stability criterion for the intensification of batch processes with model predictive control
    Kahm, Walter
    Vassiliadis, Vassilios S.
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 2018, 138 : 292 - 313
  • [8] Stable nonlinear model predictive control with a changing economic criterion
    Wu, Jie
    Liu, Fei
    INTERNATIONAL JOURNAL OF CONTROL, 2024, 97 (07) : 1488 - 1499
  • [9] Inexact Fast Alternating Minimization Algorithm for Distributed Model Predictive Control
    Pu, Ye
    Zeilinger, Melanie N.
    Jones, Colin N.
    2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2014, : 5915 - 5921
  • [10] Loss Minimization Model Predictive Current Control for Linear Induction Motors
    Ma, Shuhang
    Zhao, Jinghong
    Yang, Lv
    Ma, Yuanzheng
    Wang, Hanming
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2024, 19 (09) : 1542 - 1552
12345