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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.

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Title Performance analysis of two advanced controllers for polystyrene polymerization in batch reactor
Author(s) Hosen, Mohammad Anwar
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Nahavandi, Saeid
Creighton, Douglas
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
Collection: Centre for Intelligent Systems Research
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