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.

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Title Investigation of process dynamics and control of polystyrene batch reactor using hybrid model
Author(s) Hosen, Mohammad Anwar
Hussain, Mohd Azlan
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Creighton, DouglasORCID iD for Creighton, Douglas orcid.org/0000-0002-9217-1231
Nahavandi, SaeidORCID iD for 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

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