Performance analysis of three advanced controllers for polymerization batch reactor: an experimental investigation

Hosen,MA, Hussain,MA, Mjalli,FS, Khosravi,A, Creighton,D and Nahavandi,S 2014, Performance analysis of three advanced controllers for polymerization batch reactor: an experimental investigation, Chemical engineering research and design, vol. 92, no. 5, pp. 903-916, doi: 10.1016/j.cherd.2013.07.032.

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Title Performance analysis of three advanced controllers for polymerization batch reactor: an experimental investigation
Author(s) Hosen,MAORCID iD for Hosen,MA orcid.org/0000-0001-8282-3198
Hussain,MA
Mjalli,FS
Khosravi,AORCID iD for Khosravi,A orcid.org/0000-0001-6927-0744
Creighton,DORCID iD for Creighton,D orcid.org/0000-0002-9217-1231
Nahavandi,SORCID iD for Nahavandi,S orcid.org/0000-0002-0360-5270
Journal name Chemical engineering research and design
Volume number 92
Issue number 5
Start page 903
End page 916
Publisher Elsevier
Place of publication London, England
Publication date 2014-05
ISSN 0263-8762
1744-3563
Keyword(s) FLC
GMC
Hybrid model
Model based controller
NN-MPC
Polystyrene
Science & Technology
Technology
Engineering, Chemical
Engineering
MODEL-PREDICTIVE CONTROL
OPTIMAL TEMPERATURE CONTROL
NEURAL-NETWORK MODELS
FUZZY CONTROL METHOD
GENETIC ALGORITHM
NONLINEAR CONTROL
INDUSTRIAL
POLYETHYLENE
OPTIMIZATION
PERSPECTIVE
Summary The performances of three advanced non-linear controllers are analyzed for the optimal set point tracking of styrene free radical polymerization (FRP) in batch reactors. The three controllers are the artificial neural network-based MPC (NN-MPC), the artificial fuzzy logic controller (FLC) as well as the generic model controller (GMC). A recently developed hybrid model (Hosen et al., 2011a. Asia-Pac. J. Chem. Eng. 6(2), 274) is utilized in the control study to design and tune the proposed controllers. The optimal minimum temperature profiles are determined using the Hamiltonian maximum principle. Different types of disturbances are introduced and applied to examine the stability of controller performance. The experimental studies revealed that the performance of the NN-MPC is superior to that of FLC and GMC. © 2013 The Institution of Chemical Engineers.
Language eng
DOI 10.1016/j.cherd.2013.07.032
Field of Research 080110 Simulation and Modelling
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30069962

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