Decentralized advanced model predictive controller of fluidized-bed for polymerization process

Ibrehem, A.S. and Hussain, Mohd Azlan and Ghasem, N.M. (2012) Decentralized advanced model predictive controller of fluidized-bed for polymerization process. Iranian Journal of Chemistry & Chemical Engineering-International English Edition, 31 (4). pp. 91-117. ISSN 1021-9986,

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Abstract

The control of fluidized-bed operations processes is still one of the major areas of research due to the complexity of the process and the inherent nonlinearity and varying dynamics involved in its operation. There are varieties of problems in chemical engineering that can be formulated as NonLinear Programming (NLPs). The quality of the developed solution significantly affects the performance of such system. Controller design involves tuning the process controllers and implementing them to achieve certain performance of controlled variables by using Sequential Quadratic Programming (SQP) method to tackle the constrained high NLPs problem for modified mathematical model for gas phase olefin polymerization in fluidized-bed catalytic reactor. The objective of this work is to present a comparative study; PID control is compared to an advanced neural network based MPC decentralized controller and also, see the effect of SQP on the performance of controlled variables. The two control approached were evaluated for set point tracking and load rejection properties giving acceptable results.

Item Type:	Article
Funders:	UNSPECIFIED
Additional Information:	062QL Times Cited:0 Cited References Count:75
Uncontrolled Keywords:	Model predictive control, Proportion integral derivative control, Neural networks, Optimization, Neural-network approach, Phase ethylene polymerization, Heat-transfer coefficient, Olefin polymerization Emulsion copolymerization, Dynamic optimization, Trajectory tracking, Catalytic reactors, Chemical-processes, Grade transition.
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 01:07
Last Modified:	10 Feb 2021 03:53
URI:	http://eprints.um.edu.my/id/eprint/6988

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