Investigation of process dynamics and control of polystyrene batch reactor using hybrid model Hosen, Mohammad Anwar, Hussain, Mohd Azlan, Khosravi, Abbas, Creighton, Douglas and Nahavandi, Saeid 2012, Investigation of process dynamics and control of polystyrene batch reactor using hybrid model, in WCECS 2012 : Proceedings of the World Congress on Engineering and Computer Science, Newswood Limited, Hong Kong, pp. 765-769. Attached Files Name Description MIMEType Size Downloads Title Investigation of process dynamics and control of polystyrene batch reactor using hybrid model Author(s) Hosen, Mohammad Anwar Hussain, Mohd Azlan Khosravi, Abbas orcid.org/0000-0001-6927-0744 Creighton, Douglas orcid.org/0000-0002-9217-1231 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 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 765 End page 769 Total pages 5 Publisher Newswood Limited Place of publication Hong Kong Keyword(s) polymerization reactors optimization polystyrene batch reactor Summary The effects of operating conditions such as initiator and monomer concentration as well as reactor temperature of polymerization reactors are studied in this work. A recently developed hybrid model for polystyrene batch reactor is utilized in simulation study. The simulation results reveal the sensitivity of polymer properties and monomer conversion to variation of process operating conditions. In the second phase of this study, the optimization problem involving minimum time optimal temperature policy is considered for control study. An advanced neural network-based model predictive controller (NN-MPC) is designed and tested online. The experimental studies reveal that the developed controller is able to track the optimal setpoint with a minor oscillation and overshoot. 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:30050974 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, 14:54:07 EST Wed, 05 Jun 2013, 16:12:35 EST Wed, 05 Jun 2013, 16:14:11 EST Thu, 06 Jun 2013, 08:37:22 EST Thu, 06 Jun 2013, 08:40:29 EST Wed, 12 Jun 2013, 10:01:34 EST Thu, 13 Jun 2013, 12:17:07 EST Mon, 17 Jun 2013, 11:56:17 EST Wed, 02 Jul 2014, 16:01:20 EST Fri, 08 Aug 2014, 11:22:33 EST Fri, 17 Oct 2014, 11:56:55 EST Wed, 09 Nov 2016, 11:08:16 EST Sat, 28 Jul 2018, 02:33:03 EST Filtered Full Citation counts:   Cited 18 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 666 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Tue, 05 Mar 2013, 14:54:07 EST

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