State estimation in direct contact membrane distillation based desalination using nonlinear observer
KAUST DepartmentComputational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Estimation, Modeling and ANalysis Group
Permanent link to this recordhttp://hdl.handle.net/10754/661671
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AbstractIn desalination plants, both measurable and unmeasurable process states play important roles in maintaining closed-loop stability and process operational performance. To effectively control the closed-loop system, an observer design that can estimate the values of the unmeasurable states is required. Motivated by that, in this paper we propose an observer design for an advanced water desalination technique called Direct Contact Membrane Distillation (DCMD). The DCMD process is modeled by a set of nonlinear Differential Algebraic Equations (DAEs). In addition, the effect of the estimation gain matrix on the differentiation index of the DAE system is investigated. Numerical simulations are presented to illustrate the effectiveness of the proposed observer design.
CitationGuo, X., Albalawi, F., N’Doye, I., & Laleg-Kirati, T.-M. (2019). State Estimation in Direct Contact Membrane Distillation based Desalination Using Nonlinear Observer. IFAC-PapersOnLine, 52(23), 61–66. doi:10.1016/j.ifacol.2019.11.010
SponsorsResearch reported in this publication has been supported by the King Abdullah University of Science and Technology(KAUST). This work has been supported by the King Abdullah University of Science and Technology (KAUST) Base Research Fund (BAS/1/1627-0101) to Taous Meriem Laleg and KAUST Office of Sponsored Research (OSR) under Awards No CARF-FCC /1 /1971-32-01.
Conference/Event name1st IFAC Workshop on Control Methods for Water Resource Systems, CMWRS 2019