Control of a hydrolyzer using neural-network based controller

Hussain, Mohd Azlan and Aroua, Mohamed Kheireddine and Lim, J.S. (2009) Control of a hydrolyzer using neural-network based controller. In: CHEMECA Conference 2009, 27-30 Sept 2009, Perth, Australia.

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Hydrolyzer is a commonly found unit operation in oleochemical industry. Control of hydrolyzer has to be done carefully since efficiency in the control of this unit will affect the yield of the process. At present conventional controllers such as PI and PID have been used to achieve the setpoint especially under presence of disturbances. In this study, neural network have been applied as an alternative to cope with the dynamics behavior of the hydrolyzer. Two types of control strategies namely, direct inverse controller (DIC) and internal model controller (IMC) were implemented in the control system. Two sets of data were used to develop the DIC and IMC. The controllers were evaluated on the ability to track set-points, load disturbance and noise disturbance test and the IMC was found to be the most versatile controller.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Keywords: Hydrolyzer, Process Control, Artificial Neural Network, Direct Inverse Controller, Internal Model Controller.
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Mr. Mohd Samsul Ismail
Date Deposited: 16 Jul 2014 02:00
Last Modified: 10 Feb 2021 03:19

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