Observer-based Economic Model Predictive Control for Direct Contact Membrane Distillation

被引:0
|
作者
Guo, Xingang [1 ]
Albalawi, Fahad [1 ,2 ,3 ]
Laleg-Kirati, Taous-Meriem [1 ]
机构
[1] King Abdullah Univ Sci & Technol, Comp Elect & Math Sci & Engn Div, Thuwal 239556900, Saudi Arabia
[2] Taif Univ, Elect Engn Dept, At Taif 26571, Saudi Arabia
[3] Imperial Coll London, Dept Elect & Elect Engn, London SW7 2AZ, England
来源
关键词
Direct Contact Membrane; Distillation (DCMD); Observer-based Economic Model; Predictive Control (OEMPC); Observer design; Differential Algebraic Equations (DAEs); DESCRIPTOR SYSTEMS; STATE-ESTIMATION; DESALINATION; DESIGN; ENERGY; PLANT; ORDER;
D O I
10.1016/j.cherd.7070.01.077
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In this work, we present an Observer-based Economic Model Predictive Control (OEMPC) scheme for Direct Contact Membrane Distillation (DCMD). To compute control actions via MPC strategy, full knowledge of the system states is necessary to predict the future evolution of the system. However, the full state measurement for DMCD is either difficult or costly. In this work, an integrated framework of an observer design and EMPC paradigm is proposed for the DMCD process. Numerical simulations are presented to illustrate the performance of the proposed observer design. Closed-loop simulations show that the proposed OEMPC scheme was able to operate the process economically while satisfying process and input constraints. (C) 2020 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:86 / 99
页数:14
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