Advanced control of a fluidized bed using a model-predictive controller

Ibrehem, Ahmmed S. and Hussain, Mohd Azlan and Ghasem, Nayef M. (2009) Advanced control of a fluidized bed using a model-predictive controller. Australian Journal of Basic and Applied Sciences, 3 (4). pp. 3954-3974. ISSN 1991-8178,

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Abstract

The control of fluidized-bed processes remains an area of intensive research due to their complexity and the inherent nonlinearity and varying operational dynamics involved. There are a variety of problems in chemical engineering that can be formulated as Nonlinear Programming (NLP) problems. The quality of the solution developed significantly affects the performance of such a system. Controller design involves tuning of the process controllers and their implementation to achieve a specified performance of the controlled variables. Here we used a Sequential Quadratic Programming (SQP) method to tackle the constrained high-NLP problem, in this case a modified mathematical model of gas-phase olefin polymerisation in a fluidized-bed catalytic reactor. The objective of this work was to present a comparative study; PID control was compared to an advanced neural network-based MPC decentralised controller, and the effect of SQP on the performance of the controlled variables was studied. The two control approaches were evaluated for set-point tracking and load rejection properties, both giving acceptable results.

Item Type:	Article
Funders:	UNSPECIFIED
Additional Information:	Export Date: 5 March 2013 Source: Scopus Language of Original Document: English Correspondence Address: Ibrehem, A. 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Uncontrolled Keywords:	Model predictive control; Neural networks; Optimisation; Proportion integral derivative control
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:	10 Jul 2013 03:20
Last Modified:	14 Nov 2019 01:43
URI:	http://eprints.um.edu.my/id/eprint/7036

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