Model predictive control based on an integrator resonance model applied to an open water channel

被引:33
|
作者
van Overloop, Peter-Jules [1 ]
Horvath, Klaudia [2 ]
Aydin, Boran Ekin [1 ]
机构
[1] Delft Univ Technol, Sect Water Resources Management, NL-2628 CN Delft, Netherlands
[2] Tech Univ Catalonia, Dept Hydraul Maritime & Environm Engn, Barcelona 08034, Spain
关键词
Model predictive control; Open water channel; Canal model; Simplified model; Resonance; SYSTEM;
D O I
10.1016/j.conengprac.2014.03.001
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 describes a new simplified model for controller design of open water channels that are relatively short, flat and deep: the integrator resonance model (IR model). The model contains an integrator and the first resonance mode of a long reflecting wave. The paper compares the integrator resonance model to the simplified models: integrator delay, integrator delay zero and filtered integrator delay and to the high-order linearized Saint-Venant equations model. Results of using the integrator resonance model in a model predictive controller applied in closed loop on a high-order non-linear Saint-Venant model of the first pool of the laboratory canal at Technical University of Catalonia, Barcelona are compared to the results of using the other simplified models in MPC. This comparison shows that the IR model has less model mismatch with the high order model regarding the relevant dynamics of these typical channels compared to the other simplified models. It is demonstrated that not considering the resonance behavior in the controller design may result in poor performance of the closed loop behavior. In order to demonstrate the validity of the simulation model used in this study, the controller using the IR model is also tested on the actual open water channel and compared to the results of the high-order non-linear Saint-Venant simulation model. The results of this comparison show a close resemblance between simulation model and real world system. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:54 / 60
页数:7
相关论文
共 50 条
  • [1] Aggregation-based Model Predictive Control of Open Channel Networks
    Cen Lihui
    Xi Yugeng
    Li Dewei
    PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE, 2010, : 3170 - 3175
  • [2] De Saint-Venant equations-based model assessment in model predictive control of open channel flow
    Xu, M.
    Negenborn, R. R.
    van Overloop, P. J.
    van de Giesen, N. C.
    ADVANCES IN WATER RESOURCES, 2012, 49 : 37 - 45
  • [3] Model reduction in model predictive control of combined water quantity and quality in open channels
    Xu, M.
    van Overloop, P. J.
    van de Giesen, N. C.
    ENVIRONMENTAL MODELLING & SOFTWARE, 2013, 42 : 72 - 87
  • [4] Stochastic model predictive control approaches applied to drinking water networks
    Grosso, Juan M.
    Velarde, Pablo
    Ocampo-Martinez, Carlos
    Maestre, Jose M.
    Puig, Vicenc
    OPTIMAL CONTROL APPLICATIONS & METHODS, 2017, 38 (04) : 541 - 558
  • [5] Model based predictive control strategy for water saving drip irrigation
    Abioye, Abiodun Emmanuel
    Abidin, Mohamad Shukri Zainal
    Mahmud, Mohd Saiful Azimi
    Buyamin, Salinda
    Mohammed, Olatunji Obalowu
    Otuoze, Abdulrahaman Okino
    Oleolo, Ibrahim Olakunle
    Mayowa, Abioye
    SMART AGRICULTURAL TECHNOLOGY, 2023, 4
  • [6] On the comparison of stochastic model predictive control strategies applied to a hydrogen-based microgrid
    Velarde, P.
    Valverde, L.
    Maestre, J. M.
    Ocampo-Martinez, C.
    Bordons, C.
    JOURNAL OF POWER SOURCES, 2017, 343 : 161 - 173
  • [7] Model Predictive Control applied for building thermal control
    Neculoiu, Giorgian
    Dache, Valentin
    Stamatescu, Grigore
    Sgarciu, Valentin
    2015 INTL AEGEAN CONFERENCE ON ELECTRICAL MACHINES & POWER ELECTRONICS (ACEMP), 2015 INTL CONFERENCE ON OPTIMIZATION OF ELECTRICAL & ELECTRONIC EQUIPMENT (OPTIM) & 2015 INTL SYMPOSIUM ON ADVANCED ELECTROMECHANICAL MOTION SYSTEMS (ELECTROMOTION), 2015, : 363 - 368
  • [8] Water Supply Network System Control based on Model Predictive Control
    Mohammed, Nagib G. N.
    Abdulrahman, Adel
    IMECS 2009: INTERNATIONAL MULTI-CONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, 2009, : 1172 - +
  • [9] Water Supply Network System Control Based on Model Predictive Control
    Abdulrahman A.
    Nasher N.
    Journal of King Saud University - Engineering Sciences, 2010, 22 (02) : 119 - 126
  • [10] On the study of control effectiveness and computational efficiency of reduced Saint-Venant model in model predictive control of open channel flow
    Xu, M.
    van Overloop, P. J.
    van de Giesen, N. C.
    ADVANCES IN WATER RESOURCES, 2011, 34 (02) : 282 - 290