Observer-Based Perturbation Extremum Seeking Control with Input Constraints for Direct-Contact Membrane Distillation Process
Type
ArticleKAUST Department
Computational Bioscience Research Center (CBRC)Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Mechanical Engineering Program
Date
2017-05-22Online Publication Date
2017-05-22Print Publication Date
2018-06-03Permanent link to this record
http://hdl.handle.net/10754/623642
Metadata
Show full item recordAbstract
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 LimitedJournal
International Journal of ControlAdditional Links
http://www.tandfonline.com/doi/abs/10.1080/00207179.2017.1314551ae974a485f413a2113503eed53cd6c53
10.1080/00207179.2017.1314551