Performance analysis of two advanced controllers for polystyrene polymerization in batch reactor Hosen, Mohammad Anwar, Khosravi, Abbas, Nahavandi, Saeid, Creighton, Douglas and Hussain, Mohd Azlan 2012, Performance analysis of two advanced controllers for polystyrene polymerization in batch reactor, in WCECS 2012 : Proceedings of the World Congress on Engineering and Computer Science, Newswood Limited, Hong Kong, pp. 729-732. Attached Files Name Description MIMEType Size Downloads Title Performance analysis of two advanced controllers for polystyrene polymerization in batch reactor Author(s) Hosen, Mohammad Anwar Khosravi, Abbas orcid.org/0000-0001-6927-0744 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Creighton, Douglas orcid.org/0000-0002-9217-1231 Hussain, Mohd Azlan Conference name Engineering and Computer Science. World Congress (2012 : San Francisco, USA) Conference location San Francisco, Calif. Conference dates 24-26 Oct. 2012 Title of proceedings WCECS 2012 : Proceedings of the World Congress on Engineering and Computer Science Editor(s) [Unknown] Publication date 2012 Conference series Engineering and Computer Science World Congress Start page 729 End page 732 Total pages 4 Publisher Newswood Limited Place of publication Hong Kong Keyword(s) model based controller NN-MPC GMC hybrid model polystyrene Summary The performance of two advanced model based non-linear controllers is analyzed for the optimal setpoint tracking of free radical polymerization of styrene in batch reactors. Artificial neural network-based model predictive controller (NN-MPC) and generic model controller (GMC) are both applied for controlling the system. The recently developed hybrid model [1] as well as available literature models are utilized in the control study. The optimal minimum temperature profiles are determined based on Hamiltonian maximum principle. Different types of disturbances are artificially generated to examine the stability and robustness of the controllers. The experimental studies reveal that the performance of NN-MPC is superior over that of GMC. ISBN 988192524X 9789881925244 ISSN 2078-0958 2078-0966 Language eng Field of Research 090407 Process Control and Simulation Socio Economic Objective 970109 Expanding Knowledge in Engineering HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30050975 Document type: Conference Paper Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description Connect to published version (restricted access) 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, 05 Mar 2013, 14:54:16 EST Wed, 05 Jun 2013, 16:18:59 EST Wed, 05 Jun 2013, 16:20:34 EST Thu, 06 Jun 2013, 08:37:28 EST Thu, 06 Jun 2013, 08:40:33 EST Wed, 12 Jun 2013, 10:03:03 EST Mon, 17 Jun 2013, 11:59:09 EST Wed, 02 Jul 2014, 16:00:58 EST Fri, 08 Aug 2014, 11:23:34 EST Fri, 17 Oct 2014, 11:57:05 EST Sat, 13 May 2017, 02:30:59 EST Sat, 28 Jul 2018, 02:33:01 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 649 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Tue, 05 Mar 2013, 14:54:16 EST

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