QBMPC is a recently developed technique for combined quality and tracking c
ontrol of batch processes where prediction-based real-time control and batc
h-wise integral control are conducted simultaneously. The most important ad
vantage of QBMPC is that both quality and tracking variables converge to th
e optima dictated by the objective function despite model uncertainty and r
un-wise repeating disturbances. In this paper, with the purpose to enhance
the quality control aspect, the QBMPC algorithm has been newly formulated b
ased on a time-varying state space model. The new algorithm has been applie
d to a batch reactor model for methylmethacrylate (MMA) polymerization wher
e the weight-average molecular weight and polydispersity index of the end p
roduct, and monomer conversion are considered important quality variables t
o control. Key steps for the controller design are described and the result
ing control performance is demonstrated. (C) 2000 Elsevier Science Ltd. All
rights reserved.