Title :
A Neural Network-Based Steam Temperature Control System
Author_Institution :
Chongqing Educ. Coll., Chongqing
Abstract :
In this paper the idea of unit control and neural network control are organically integrated and a new control strategy is presented to adopt in superheat steam temperature control. This control strategy has good anti-jamming capability and strong robust, makes the advantage of neural network better manipulate, and then design a control system with better reliability and stronger robust.
Keywords :
control system synthesis; neurocontrollers; power system control; power system reliability; robust control; steam plants; temperature control; antijamming capability; control system design; neural network control; neural network-based steam temperature control system; reliability; superheat steam temperature control; unit control; Automatic control; Boilers; Control system synthesis; Control systems; Neural networks; Power system modeling; Power system reliability; Predictive models; Robust control; Temperature control;
Conference_Titel :
Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
Conference_Location :
Adelaide, SA
Print_ISBN :
978-0-7695-3090-1
DOI :
10.1109/WKDD.2008.57
