Staff View: Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach

Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach

The work described in this paper aims at exploring the use of an artificial intelligence technique, i.e. genetic algorithm (GA), for designing an optimal model-based controller to regulate the temperature of a reactor. GA is utilized to identify the best control action for the system by creating pos...

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Main Authors:	Wahab, Ahmad Khairi Abdul, Hussain, Mohd Azlan, Omer, Rosli
Format:	Article
Published:	Wiley 2007
Subjects:	TA Engineering (General). Civil engineering (General) TP Chemical technology
Online Access:	http://eprints.um.edu.my/7047/ https://doi.org/10.1002/apj.97
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spelling	my.um.eprints.70472021-02-10T02:45:27Z http://eprints.um.edu.my/7047/ Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach Wahab, Ahmad Khairi Abdul Hussain, Mohd Azlan Omer, Rosli TA Engineering (General). Civil engineering (General) TP Chemical technology The work described in this paper aims at exploring the use of an artificial intelligence technique, i.e. genetic algorithm (GA), for designing an optimal model-based controller to regulate the temperature of a reactor. GA is utilized to identify the best control action for the system by creating possible solutions and thereby to propose the correct control action to the reactor system. This value is then used as the set point for the closed loop control system of the heat exchanger. A continuous stirred tank reactor is chosen as a case study, where the controller is then tested with multiple set-point tracking and changes in its parameters. The GA model-based control (GAMBC) is then implemented experimentally to control the reactor temperature of a pilot plant, where an irreversible exothermic chemical reaction is simulated by using the calculated steam flow rate. The dynamic behavior of the pilot plant reactor during the online control studies is highlighted, and comparison with the conventional tuned proportional integral derivative (PID) is presented. It is found that both controllers are able to control the process with comparable performance. Wiley 2007 Article PeerReviewed Wahab, Ahmad Khairi Abdul and Hussain, Mohd Azlan and Omer, Rosli (2007) Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach. Asia-Pacific Journal of Chemical Engineering, 2 (6). pp. 526-535. ISSN 1932-2135 https://doi.org/10.1002/apj.97 doi:10.1002/apj.97
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	TA Engineering (General). Civil engineering (General) TP Chemical technology
spellingShingle	TA Engineering (General). Civil engineering (General) TP Chemical technology Wahab, Ahmad Khairi Abdul Hussain, Mohd Azlan Omer, Rosli Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach
description	The work described in this paper aims at exploring the use of an artificial intelligence technique, i.e. genetic algorithm (GA), for designing an optimal model-based controller to regulate the temperature of a reactor. GA is utilized to identify the best control action for the system by creating possible solutions and thereby to propose the correct control action to the reactor system. This value is then used as the set point for the closed loop control system of the heat exchanger. A continuous stirred tank reactor is chosen as a case study, where the controller is then tested with multiple set-point tracking and changes in its parameters. The GA model-based control (GAMBC) is then implemented experimentally to control the reactor temperature of a pilot plant, where an irreversible exothermic chemical reaction is simulated by using the calculated steam flow rate. The dynamic behavior of the pilot plant reactor during the online control studies is highlighted, and comparison with the conventional tuned proportional integral derivative (PID) is presented. It is found that both controllers are able to control the process with comparable performance.
format	Article
author	Wahab, Ahmad Khairi Abdul Hussain, Mohd Azlan Omer, Rosli
author_facet	Wahab, Ahmad Khairi Abdul Hussain, Mohd Azlan Omer, Rosli
author_sort	Wahab, Ahmad Khairi Abdul
title	Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach
title_short	Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach
title_full	Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach
title_fullStr	Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach
title_full_unstemmed	Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach
title_sort	temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach
publisher	Wiley
publishDate	2007
url	http://eprints.um.edu.my/7047/ https://doi.org/10.1002/apj.97
_version_	1691733420200165376
score	13.211869

Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach

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