شماره ركورد كنفرانس :
3340
عنوان مقاله :
A dynamic nonlinear model for a real HRSG Boiler based on input-output data
پديدآورندگان :
Pasha Zamani Amir Department of Control Engineering, ShahidRajaee Teacher Training University, Lavizan, Tehran, Iran , Refan Mohammad Hoseyn Faculty, ShahidRajaee Teacher Training University, Lavizan, Tehran, and MAPNA Electric & Control Engineering & Manufacturing Co. (MECO) , AliyariShooredeli Mahdi Mechatronics Dept, Electrical Engineering Faculty, K. N. T University of Technology, Tehran, Iran
كليدواژه :
Heat recovery steam engine , Identification , Neural Network , Radial basis function , HP drum , LP drum
عنوان كنفرانس :
هفتمين كنفرانس بين المللي تجارت الكترونيكي در كشورهاي در حال توسعه با تمركز بر امنيت ملي
چكيده لاتين :
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. The
system is divided into 2 MISO subsystems of ‘HP’ and ‘LP’ drum, and each subsystem is identified
by a RBF network having NARX structure. Results indicate a successful model exploitable
in 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.
