Observer-based Economic Model Predictive Control for Direct Contact Membrane Distillation
KAUST DepartmentComputational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Estimation, Modeling and ANalysis Group
Online Publication Date2020-01-31
Print Publication Date2020-04
Permanent link to this recordhttp://hdl.handle.net/10754/661547
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AbstractIn 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.
CitationGuo, 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.2020.01.027
SponsorsResearch reported in this publication has been supported by the King Abdullah University of Science and Technology (KAUST).