Amir Pasha Zamani - Department of Control Engineering, ShahidRajaee Teacher Training University, Lavizan, Tehran, Iran
Mohammad Hoseyn Refan - Electrical and Computer Engineering Faculty, ShahidRajaee Teacher Training University, Lavizan,
Mahdi AliyariShooredeli - Mechatronics Dept, Electrical Engineering Faculty, K. N. T University of Technology, Tehran, Iran

In this study, a dynamic nonlinear model for a drum-HRSG boileris presented. The applied data are obtained from a real combined cycle power plant 'Neka' located in the north of Iran. Thesystem is divided into 2 MISO subsystems of ‘HP’ and ‘LP’ drum, and each subsystem is identifiedby a RBF network having NARX structure. Results indicate a successful model exploitablein model-based controller designs, a model for the use of operators to learn HRSG function and also as an acceptable predictor to follow up the drum-boiler behavior

Heat recovery steam engine, Identification, Neural Network, Radial basis function,HP drum, LP drum