Nonlinear Model Predictive Control applied to Concentrated Solar Power Plants

被引:2
|
作者
Dettmer, Ramon Jesuino [1 ]
Mendes, Paulo Renato da Costa [2 ]
Normey-Rico, Julio Elias [1 ]
机构
[1] Univ Fed Santa Catarina, Automat & Syst Dept, Florianopolis, SC, Brazil
[2] Fraunhofer Inst Ind Math, Kaiserslautern, Germany
来源
IFAC PAPERSONLINE | 2020年 / 53卷 / 02期
关键词
Nonlinear Model Predictive Control; Concentrated Solar Power Plant; Renewable Energy; Mixed Integer Quadratic Programming;
D O I
10.1016/j.ifacol.2020.12.1904
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 papers presents a nonlinear model predictive controller (NMPC) for temperature control in solar collector fields. The proposed NMPC uses feedback linearization for handling the systems nonlinearities in a mixed integer quadratic programming (MIQP) formulation that makes the constraints convex in the new coordinates, making the controller solution an optimal one. Several simulations are shown with real data and a validated model of solar field to illustrate the advantages of the proposed strategy over other general-purpose NMPC methods, showing great improvement in constraint satisfaction. Copyright (C) 2020 The Authors.
引用
收藏
页码:12745 / 12750
页数:6
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