State estimation in direct contact membrane distillation based desalination using nonlinear observer

Xingang Guo; Fahad Albalawi; Ibrahima Ndoye; Taous-Meriem Laleg-Kirati

doi:10.1016/j.ifacol.2019.11.010

State estimation in direct contact membrane distillation based desalination using nonlinear observer

Xingang Guo, Fahad Albalawi, Ibrahima Ndoye, Taous-Meriem Laleg-Kirati

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

In 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.

Original language	English (US)
Title of host publication	IFAC-PapersOnLine
Publisher	Elsevier BV
Pages	61-66
Number of pages	6
DOIs	https://doi.org/10.1016/j.ifacol.2019.11.010
State	Published - Nov 23 2019

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): BAS/1/1627-0101, CARF-FCC/1/1971-32-01
Acknowledgements: Research 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.

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10.1016/j.ifacol.2019.11.010

https://repository.kaust.edu.sa/bitstream/10754/661671/1/IFAC.pdf

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title = "State estimation in direct contact membrane distillation based desalination using nonlinear observer",

abstract = "In 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.",

author = "Xingang Guo and Fahad Albalawi and Ibrahima Ndoye and Taous-Meriem Laleg-Kirati",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): BAS/1/1627-0101, CARF-FCC/1/1971-32-01 Acknowledgements: Research 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.",

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doi = "10.1016/j.ifacol.2019.11.010",

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AU - Guo, Xingang

AU - Albalawi, Fahad

AU - Ndoye, Ibrahima

AU - Laleg-Kirati, Taous-Meriem

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): BAS/1/1627-0101, CARF-FCC/1/1971-32-01 Acknowledgements: Research 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.

PY - 2019/11/23

Y1 - 2019/11/23

N2 - In 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.

AB - In 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.

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UR - https://linkinghub.elsevier.com/retrieve/pii/S2405896319309450

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M3 - Conference contribution

SP - 61

EP - 66

BT - IFAC-PapersOnLine

PB - Elsevier BV

ER -

State estimation in direct contact membrane distillation based desalination using nonlinear observer

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