On-line identification of simplified CHP models

In this paper, an on-line identification methodology for deriving simplified dynamic models is proposed. In particular, the paper focuses on the estimation of constant and time-varying parameters of a second order model of the co-generator installed at the Polytechnic University of Bari, Italy. With this aim, the dynamic model was identified by adopting the sensitivity theory in conjunction with the Lyapunov function. This approach gives rise to stable solutions in the online environment, renewing the parameters of the model at every change occurring on the physical system. In order to investigate the effectiveness of the proposed methodology in deriving a simplified dynamic model, several simulations and experimental tests were conducted in the Prince Lab of the Polytechnic University of Bari. The good agreement between simulations and laboratory tests confirms the validity and applicability of the proposed methodology.