TY - JOUR
T1 - Performance analysis of three advanced controllers for polymerization batch reactor
T2 - An experimental investigation
AU - Hosen, Mohammad Anwar
AU - Hussain, Mohd Azlan
AU - Mjalli, Farouq Sabri
AU - Khosravi, Abbas
AU - Creighton, Douglas
AU - Nahavandi, Saeid
PY - 2014/5
Y1 - 2014/5
N2 - 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.
AB - 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.
KW - FLC
KW - GMC
KW - Hybrid model
KW - Model based controller
KW - NN-MPC
KW - Polystyrene
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U2 - 10.1016/j.cherd.2013.07.032
DO - 10.1016/j.cherd.2013.07.032
M3 - Article
AN - SCOPUS:84899646032
SN - 0263-8762
VL - 92
SP - 903
EP - 916
JO - Chemical Engineering Research and Design
JF - Chemical Engineering Research and Design
IS - 5
ER -