Observer-based Economic Model Predictive Control for Direct Contact Membrane Distillation
Type
ArticleKAUST Department
Computational Bioscience Research Center (CBRC)Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering
Electrical Engineering Program
Estimation, Modeling and ANalysis Group
Date
2020-01-31Online Publication Date
2020-01-31Print Publication Date
2020-04Submitted Date
2019-11-23Permanent link to this record
http://hdl.handle.net/10754/661547
Metadata
Show full item recordAbstract
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.Citation
Guo, X., Albalawi, F., & Laleg-Kirati, T.-M. (2020). Observer-based Economic Model Predictive Control for Direct Contact Membrane Distillation. Chemical Engineering Research and Design, 156, 86–99. doi:10.1016/j.cherd.2020.01.027Sponsors
Research reported in this publication has been supported by the King Abdullah University of Science and Technology (KAUST).Publisher
Elsevier BVAdditional Links
https://linkinghub.elsevier.com/retrieve/pii/S026387622030040Xae974a485f413a2113503eed53cd6c53
10.1016/j.cherd.2020.01.027