Temperature control for chemical reactor using adaptive neural network control strategy

Wahab, Ahmad Khairi Abdul and Hussain, Mohd Azlan and Sulaiman, Mohd Zaki (2000) Temperature control for chemical reactor using adaptive neural network control strategy. In: 2000 TENCON Proceedings, 24-27 September 2000, Kuala Lumpur, Malaysia.

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Abstract

A pilot scaled chemical reactor is constructed and commissioned to study various conventional and advanced control strategies. One of the approaches is the use of neural network inverse model based controller to control the temperature of the chemical reactor. Neural network control was chosen due to its capabilities to overcome the hassle in periodically tuning the conventional controller to obtain a good process response for a certain set point. Tests in a form of load disturbance and set point tracking are carried out to evaluate the neural network controller. The neural network controller exhibits satisfactory performance. Simulation work prior to the planned online implementation is vital to predict the control strategy performance and behavior. With the expected performance in hand, one has the prior knowledge of the control strategy

Item Type:	Conference or Workshop Item (Paper)
Funders:	UNSPECIFIED
Additional Information:	You can e-mail to me for the full text of my jurnal at khairi@um.edu.my Conference code: 57942 Export Date: 5 March 2013 Source: Scopus CODEN: 85QXA Language of Original Document: English Correspondence Address: Wahab, A.K.Abdul; Univ Malaya, Kuala Lumpur, Malaysia Sponsors: IEEE
Uncontrolled Keywords:	Temperature control; Chemical reactors; Adaptive systems; Programmable control; Adaptive control; Neural networks; Continuous-stirred tank reactor; Coolants; Inverse problems; Mathematical model
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Engineering
Depositing User:	Mr. Mohammed Salim Abd Rahman
Date Deposited:	11 Jul 2013 01:49
Last Modified:	20 Oct 2021 07:44
URI:	http://eprints.um.edu.my/id/eprint/7115

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