Double-layer model predictive control for wave energy converters with model mismatch

被引:5
作者
Luan, Feng [1 ]
Wang, Zhenchun [1 ]
机构
[1] Yanshan Univ, Key Lab Ind Comp Control Engn Hebei Prov, Qinhuangdao 066004, Hebei, Peoples R China
关键词
Model predictive control; Model mismatch; Wave energy converters; Conversion efficiency; INTEGRAL SLIDING MODE;
D O I
10.1016/j.egyr.2023.01.051
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
To reduce the impact of the model mismatch on the conversion efficiency of wave energy converters (WECs), a double-layer model predictive control (DMPC) method is proposed. Two closely related control layers are included in the DMPC method: (1) The first control layer is compensation control, which deals with the model mismatch by using the prediction data from the second layer. (2) The second layer aims to maximize energy output while taking the compensation value from the first layer into consideration. The sum of the compensation value obtained at the first layer and the control value obtained at the second layer refers to the final control input for the real system. The simulation results demonstrate that the proposed method effectively reduces the impact of the model mismatch and complies with control input and float's position limitations.(c) 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:2463 / 2472
页数:10
相关论文
共 38 条
  • [1] Considering linear generator copper losses on model predictive control for a point absorber wave energy converter
    Andrade, Dan-El Montoya
    de la Villa Jaen, Antonio
    Garcia Santana, Agustin
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2014, 78 : 173 - 183
  • [2] Receding-Horizon Pseudo-spectral Control of Wave Energy Converters Using Periodic Basis Functions
    Auger, Clement
    Merigaud, Alexis
    Ringwood, John V.
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2019, 10 (04) : 1644 - 1652
  • [3] Comparison of latching control strategies for a heaving wave energy device in random sea
    Babarit, A
    Duclos, G
    Clément, AH
    [J]. APPLIED OCEAN RESEARCH, 2004, 26 (05) : 227 - 238
  • [4] Optimizing energy production of an Inertial Sea Wave Energy Converter via Model Predictive Control
    Bracco, G.
    Canale, M.
    Cerone, V
    [J]. CONTROL ENGINEERING PRACTICE, 2020, 96
  • [5] Brekken T.K., 2011, P IEEE TRONDH POWERT, P1
  • [6] Fuzzy Logic based hybrid type control implementation of a heaving wave energy converter
    Burgac, Alper
    Yavuz, Hakan
    [J]. ENERGY, 2019, 170 : 1202 - 1214
  • [7] Cretel J.A.M., 2011, IFAC P, V44, P3714
  • [8] Adaptive Control of a Wave Energy Converter
    Davidson, Josh
    Genest, Romain
    Ringwood, John, V
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018, 9 (04) : 1588 - 1595
  • [9] Hydrodynamic modelling of marine renewable energy devices: A state of the art review
    Day, A. H.
    Babarit, A.
    Fontaine, A.
    He, Y. -P.
    Kraskowski, M.
    Murai, M.
    Penesis, I.
    Salvatore, F.
    Shin, H. -K.
    [J]. OCEAN ENGINEERING, 2015, 108 : 46 - 69
  • [10] A hybrid EMD-SVR model for the short-term prediction of significant wave height
    Duan, W. Y.
    Han, Y.
    Huang, L. M.
    Zhao, B. B.
    Wang, M. H.
    [J]. OCEAN ENGINEERING, 2016, 124 : 54 - 73