Title :
Identification of industrial water boiler for model predictive control of district heat plant
Author :
Vansovits, V. ; Petlenkov, E. ; Vassiljeva, K. ; Guljajev, A.
Author_Institution :
Metso Autom. Inc., Tallinn, Estonia
Abstract :
Widely used PID controller has number of limitations that do not allow using it effectively to solve complicated control issues. The framework of the solution is presented in the paper. A nonlinear model of a district heat plant boiler is identified by training an artificial neural network. The model is used to predict the behavior of real plant.
Keywords :
boilers; neurocontrollers; nonlinear control systems; predictive control; PID controller; artificial neural network; complicated control issues; district heat plant; district heat plant boiler; industrial water boiler identification; model predictive control; nonlinear model; Atmospheric modeling; Boilers; Predictive models; Process control; Water heating;
Conference_Titel :
Electronics Conference (BEC), 2012 13th Biennial Baltic
Conference_Location :
Tallinn
Print_ISBN :
978-1-4673-2775-6
DOI :
10.1109/BEC.2012.6376880
