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    Observer-Based Perturbation Extremum Seeking Control with Input Constraints for Direct-Contact Membrane Distillation Process

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    5_15_2017_Observer-B.pdf
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    Description:
    Accepted Manuscript
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    Type
    Article
    Authors
    Eleiwi, Fadi cc
    Laleg-Kirati, Taous-Meriem cc
    KAUST Department
    Computational Bioscience Research Center (CBRC)
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Mechanical Engineering Program
    Date
    2017-05-22
    Online Publication Date
    2017-05-22
    Print Publication Date
    2018-06-03
    Permanent link to this record
    http://hdl.handle.net/10754/623642
    
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    Abstract
    An Observer-based Perturbation Extremum Seeking Control (PESC) is proposed for a Direct-Contact Membrane Distillation (DCMD) process. The process is described with a dynamic model that is based on a 2D Advection-Diffusion Equation (ADE) model which has pump flow rates as process inputs. The objective of the controller is to optimize the trade-off between the permeate mass flux and the energy consumption by the pumps inside the process. Cases of single and multiple control inputs are considered through the use of only the feed pump flow rate or both the feed and the permeate pump flow rates. A nonlinear Lyapunov-based observer is designed to provide an estimation for the temperature distribution all over the designated domain of the DCMD process. Moreover, control inputs are constrained with an anti-windup technique to be within feasible and physical ranges. Performance of the proposed structure is analyzed, and simulations based on real DCMD process parameters for each control input are provided.
    Citation
    Eleiwi F, Laleg-Kirati TM (2017) Observer-Based Perturbation Extremum Seeking Control with Input Constraints for Direct-Contact Membrane Distillation Process. International Journal of Control: 1–21. Available: http://dx.doi.org/10.1080/00207179.2017.1314551.
    Sponsors
    The authors acknowledge that the research reported in this publication was supported by the King Abdullah University of Science and Technology (KAUST) and are grateful for the support provided.
    Publisher
    Informa UK Limited
    Journal
    International Journal of Control
    DOI
    10.1080/00207179.2017.1314551
    Additional Links
    http://www.tandfonline.com/doi/abs/10.1080/00207179.2017.1314551
    ae974a485f413a2113503eed53cd6c53
    10.1080/00207179.2017.1314551
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Mechanical Engineering Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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