On-line identification of simplified dynamic models: Simulations and experimental tests on the Capstone C30 microturbine

This paper deals with the development of an on-line identification method for deriving simplified dynamic models. The practical applicability of the derived algorithm has been tested on the Capstone C30 microturbine installed at the Polytechnic University of Bari, Italy. For this purpose, a second order model has been identified by adopting the sensitivity theory involving the Lyapunov function giving rise to stable solutions in the on-line environment, renewing model parameters at every changes occurring on the physical system. This characteristic can be fruitfully adopted for implementing actual models in time domain simulators, giving rise to accurate results even if some internal parameters change. In order to investigate on 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 confirm the validity and the applicability of the proposed methodology.