Nonlinear estimation methods for parameter tracking in power plants

This paper presents parameter estimation of physical time-varying parameters for combined-cycle power plant models. Four different variants of the Kalman filter are compared extensively on models of different complexities. The first filter is the well-known extended Kalman filter. The second and third filters are recent (2000 and 2001) developments of unscented versions of the Kalman filter. The fourth filter is a new (2000) and compact version of the adaptive sensitivity-based Kalman filter. The four different approaches have different complexities, behaviour and advantages that are surveyed in this paper.