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. Attached Files Name Description MIMEType Size Downloads Title Performance analysis of three advanced controllers for polymerization batch reactor: an experimental investigation Author(s) Hosen,MA orcid.org/0000-0001-8282-3198 Hussain,MA Mjalli,FS Khosravi,A orcid.org/0000-0001-6927-0744 Creighton,D orcid.org/0000-0002-9217-1231 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 Document type: Journal Article Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 24 Feb 2015, 09:08:45 EST Tue, 24 Feb 2015, 09:09:23 EST Tue, 24 Feb 2015, 09:59:09 EST Tue, 24 Feb 2015, 10:29:30 EST Tue, 03 Mar 2015, 05:05:26 EST Thu, 05 Mar 2015, 13:52:12 EST Thu, 05 Mar 2015, 13:54:31 EST Filtered Full Citation counts:   Cited 21 times in TR Web of Science Cited 23 times in Scopus Search Google Scholar Access Statistics: 729 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Tue, 24 Feb 2015, 09:09:23 EST