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Sirikarn Ungsriwong. Development of adaptive observer-based inputoutput (IO) linearizing control system for pH process with feed uncertainties. Master's Degree(Chemical Engineering). Kasetsart University. Office of the University Library. : Kasetsart University, 2019.
Development of adaptive observer-based inputoutput (IO) linearizing control system for pH process with feed uncertainties
Name: Sirikarn Ungsriwong
Classification :.LCCS: TP155.75
LCSH:
Chemical process control
Abstract:
pH control of a wastewater treatment process with uncertainties in feed is a challenging issue for a model-based controller design due to the severe degradation of a model prediction quality. Degradation of a model prediction quality is caused by uncertainty in the feed component process behavior depends on the acid and base used in the system. Therefore, if the system has a mixed component, the system behavior will significantly change. Likewise, the uncertainty of concentration in the feed cannot be measured, resulting in an inaccurate pH prediction; which has a direct effect on the ratio of acid and base in the titration curve. In general, handling the uncertainty of the process for pH control is difficult. When the liquid level is controlled simultaneously, resulting in changes in volume and resident time in the system. These concerns affect the reaction as well as the reactor pH. This work develops two strategies of adaptive observer-based input/output (I/O) linearizing control to handle coupled effects between the liquid level and pH for a pH process with feed uncertainty. The 1st control structure uses the process model in the form of differential-algebraic equation (DAE) that the acid/base states are described by the dynamic mixing model coupled with the pH characteristic algebraic equation. The 2nd control structure uses the hybrid model that consists of a physical model expressing the mixing dynamics and a neural model describing the pH characteristic equation. An adaptive observer-based input/output (I/O) linearization is used to formulate the feedback for tracking the desired output setpoint while a compensator is applied to eliminate the output offsets. Performances of the developed control systems are evaluated through experimentation with a continuous bench-scale pH process that is operated under a tracking/regulatory test. Experimental results show that all developed controllers can force the process to the desired target and eliminate the effects of the process disturbances effectively compared with a gain-scheduling PI controller.
Kasetsart University. Office of the University Library
Address:
Bangkok
Email:
tdckulib@ku.ac.th
Name: Chanin Panjapornpon
Role:
Thesis Advisor
Name: Kandis Sudsakorn
Role:
Thesis CO-Advisor
Created:
2019
Modified:
2025-07-17
Issued:
2025-07-17
วิทยานิพนธ์/Thesis
application/pdf
URL: https://www.lib.ku.ac.th/KUthesis/2562/sirikarn-ung-all.pdf
CallNumber:
TP155.75 .S59
eng
DegreeName: Master of Engineering
Level: Master's Degree
Descipline: Chemical Engineering
Grantor: Kasetsart University
©copyrights Kasetsart University
RightsAccess:
ใช้เวลา
0.028483 วินาที
Sirikarn Ungsriwong
| Title | Contributor | Type |
|---|---|---|
| Development of adaptive observer-based inputoutput (IO) linearizing control system for pH process with feed uncertainties
มหาวิทยาลัยเกษตรศาสตร์ Sirikarn Ungsriwong | Chanin Panjapornpon | วิทยานิพนธ์/Thesis |
Chanin Panjapornpon
Kandis Sudsakorn