PCA is a popular technique used in model reduction and fault diagnosis and isolation. In this work PCA is used to reduce the dimensionality of a MISO system. The coupling among the variables and the process output is taken into account through the projection into the PCA axis. The technique is applied to a gas mixing chamber in a Copper smelter factory, whose nonlinear behavior and large number of variables involved justify this approach. The control strategy is defined therefore in a straight and simple way making use of this new virtual and reduced system. The controller is simulated using a neurofuzzy model of the process that has been obtained using real data form the plant.
['Juan M. Escano', 'Fernando Dorado', 'Carlos Bordons']
PCA based pressure control of a gas mixing chamber