Title :
Fuzzy Immune PID Neural Network Control Method Based on Boiler Steam Pressure System
Author_Institution :
Dept. of Electr. Inf., Sichuan Eng. Tech. Coll. of Eng., Deyang, China
Abstract :
Steam pressure is a key point to keep the steam pressure constant in various operation situations. Considering steam pressure with the time delay and uncertainties, the sliding mode predictive control was used to design the controller. The predictive control was used to deal with time delay, the sliding mode control was used to deal with the uncertainties. And the predictive control can reduce the chattering phenomenon of sliding mode. The simulation results show that the proposed algorithm can largely improve the system response performance compared to the single generalized predictive control.
Keywords :
boilers; control nonlinearities; delays; fuzzy control; neurocontrollers; power station control; predictive control; pressure control; three-term control; variable structure systems; boiler steam pressure system; chattering phenomenon; fuzzy immune PID neural network control method; predictive control; sliding mode control; time delay; Adaptation models; Boilers; Fuzzy control; Fuzzy neural networks; Immune system; Training;
Conference_Titel :
Circuits, Communications and System (PACCS), 2011 Third Pacific-Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-0855-8
DOI :
10.1109/PACCS.2011.5990174