Title :
Neurofuzzy network modelling and control steam pressure in 300 MW steam-boiler system
Author :
Liu, Xiang-jie ; Lara-Rosano, F.
Author_Institution :
Centro de Ciencias Aplicadas y Desarrollo Technol., Univ. Nacional Autonoma de Mexico, Mexico City, Mexico
Abstract :
Modelling and control of 300 MW steam-boiler combustion system using neuro-fuzzy methodology is discussed in this paper. An associate memory network (AMN) is chosen to represent the nonlinear model of the steam pressure system based on local mechanism model and dynamic experiments. With the established neuro-fuzzy model, a relative fuzzy PI controller is constituted. The performance of the control system has been verified by the simulation process and then tested on real-time process in a distributed control system.
Keywords :
PI control; boilers; combustion; content-addressable storage; distributed control; fuzzy control; fuzzy neural nets; nonlinear systems; pressure control; real-time systems; 300 MW; PI controllers; associate memory network; combustion system; control system performance; distributed control system; fuzzy control; fuzzy neural network; nonlinear model; real time process; steam pressure control; steam-boiler system; Boilers; Combustion; Control system synthesis; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Intelligent networks; Neural networks; Nonlinear dynamical systems; Pressure control;
Conference_Titel :
American Control Conference, 2003. Proceedings of the 2003
Print_ISBN :
0-7803-7896-2
DOI :
10.1109/ACC.2003.1243414
