Abstract:
The performance of a model predictive controller depends on the quality of
the plant model that is available. Often parameters in a run-of-mine (ROM)
ore milling circuit are uncertain and inaccurate parameter estimation leads to
a mismatch between the model and the actual plant. Although model-plant
mismatch is inevitable, timely detection of significant mismatch is desirable.
Once significant mismatch is detected the model may be partially re-identified
in order to prevent deteriorated control performance. This paper presents a
simulation study of the detection of mismatch in the parameters of a ROM
ore milling circuit model using a partial correlation analysis approach. The
location of the mismatch in the MIMO model matrix is correctly detected,
and the process model subsequently updated.
