Temperature control for chemical reactor using adaptive neural network control strategy

Wahab, A.K.A. and Hussain, Mohd Azlan and Sulaiman, Mohd Zaki (2000) Temperature control for chemical reactor using adaptive neural network control strategy. In: 2000 TENCON Proceedings, 2000, Kuala Lumpur, Malaysia.

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A pilot scaled chemical reactor is constructed and commissioned to study various conventional and advanced control strategies. One of the researches to be due is regarding 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 in obtaining good process response for certain set point. Tests in 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 and crucial to predict the control strategy performance and behavior. With the expected performance in hand, we have the prior knowledge of the control strategy.

Item Type: Conference or Workshop Item (Paper)
Additional Information: 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: Adaptive control systems; Chemical reactors; Computer simulation; Process control; Temperature control; Continuous stirred tank reactors (CSTR); Neural networks.
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TP Chemical technology
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 11 Jul 2013 01:27
Last Modified: 12 Dec 2014 01:19
URI: http://eprints.um.edu.my/id/eprint/7085

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