Author/Authors :
J. Flores-Cerrillo and
J.F. MacGregor، نويسنده ,
Title Of Article :
Control of batch product quality by
trajectory manipulation using latent variable models
Latin Abstract :
A novel inferential strategy for controlling end-product quality properties by adjusting the complete trajectories of the manipulated
variables is presented. Control through complete trajectory manipulation using empirical models is possible by controlling
the process in the reduce space (scores) of a latent variable model rather than in the real space of the manipulated variables. Model
inversion and trajectory reconstruction is achieved by exploiting the correlation structure in the manipulated variable trajectories
captured by a partial least squares model. The approach is illustrated with a condensation polymerisation example for the production
of nylon and with data gathered from an industrial emulsion polymerisation process. The data requirements for building the
model are shown to be modest.
NaturalLanguageKeyword :
Partial least squares , Reduced space control , Product quality
JournalTitle :
Studia Iranica
