Passivity-based split range control for heat exchanger networks

Name: Siwaporn Mahitthimahawong

LCSH: Kasetsart University -- Dissertations. D.Eng. (Chemical Engineering) 2017

Classification :.LCCS: TP363

LCSH: Kasetsart University. Department of Chemical Engineering -- Theses

LCSH: Heat exchangers

LCSH: Automatic control

LCSH: Passivity-based control

Abstract: An approach based on an optimization formulation was used to determine optimal split-range control structure for heat exchanger network (HEN). Control technique and system analysis based on the concept of passivity were studied. Three case studies were investigated and simulated by two powerful dynamics simulators. The results showed that passivity based controllers with the switching ability can keep all target temperatures at the desires value and produced good performances to reject the disturbance. In addition, the performances of several advanced control techniques, including: proportional integral, model predictive control, passivity approach, and passivity-based model predictive control were also examined and compared for disturbance rejection and set-point tracking test. According to the results, the passivity-based model predictive controllers produced the best performance to reject the disturbance and the model predictive control proved to be the best controller to track the set-point. Whereas, the ensuing performance results of both the PI and passivity controllers were discovered to be only acceptable. Based on the fact that uncertainty is unavoidable in any real system and mathematical models of physical systems are always inaccurate due to parameter variations, neglected (typically higher-order) dynamics, linearization and so forth. Another issue was devoted to robust control. Certain uncertainties in parameters and high frequency ranges will be introduced and simulated. As a result, the uncertain HEN system with passive controller is not robustly stable and does not achieve performance robustness in the presence of uncertainties.

Kasetsart University. Office of the University Library

Address: Bangkok

Email: tdckulib@ku.ac.th

Name: Thongchai Rohitatisha Srinophakun

Role: Thesis Advisor

Name: Paweena Prapainainar

Role: Thesis Co-Advisor

Created: 2017

Modified: 2023-06-28

Issued: 2023-06-28

วิทยานิพนธ์/Thesis

application/pdf

URL: https://kasetsart.idm.oclc.org/login?url=https://www.lib.ku.ac.th/KUthesis/2560/siwaporn-mah-all.pdf

CallNumber: TP363.S59

eng

DegreeName: Doctor of Engineering

Level: Doctoral Degree

Descipline: Chemical Engineering

Grantor: Kasetsart University

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