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.
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.