Reference:
Zs. Lendek,
K.M. van Schagen,
R. Babuska,
A. Veersma, and
B. De Schutter,
"Cascaded parameter estimation for a water treatment plant using
particle filters," Proceedings of the 17th IFAC World
Congress, Seoul, Korea, pp. 10857-10862, July 2008.
Abstract:
Advanced online control of drinking water treatment plants requires
reliable models. These models in general involve
temperature-dependent, uncertain parameters, which can only be
measured in laboratory conditions. We propose to estimate these
parameters online, using the available pH quality measurements. Since
the pH measurements are a nonlinear combination of the system's
states, a particle filter is used. Thanks to the cascaded nature of
the plant, the estimation is also performed in a cascaded setting. The
performance is evaluated both for simulated and real-world data.
Results indicate that the filter can be effectively used to improve
the model accuracy.