Title :
Main steam pressure control system based on two-cell immune mechanism in power plant
Author :
Peng, Daogang ; Zhang, Hao ; Yang, Li ; Xu, Longhu
Author_Institution :
Coll. of Electr. Power & Autom. Eng., Shanghai Univ. of Electr. Power, Shanghai
Abstract :
The main steam pressure control system in power plant is adjusted by the variation of the fuel quantity and give-wind. It is a large inertia, long time-delay system relative to the variation of fuel. Conventional PID cascade control system canpsilat obtain satisfied control performance due to the time-delay characteristic of main steam pressure system which is incarnated mainly on the steam-water system. Biology immune system has strong robustness and self-adaptability even when encountering a great deal of disturbances and uncertain conditions. Aiming at the large inertia and long time-delay characteristics of the main steam pressure system and prompted by the two-cell immune feedback mechanism model of biology system, a new control strategy of the main steam pressure control system based on two-cell immune feedback mechanism which uses the furnace radiant energy as middle adjustment signal is presented in this paper. Simulation results show that the control strategy can achieve satisfied control performance and has strong robustness, self-adaptability and disturbance rejection ability.
Keywords :
delays; feedback; power system control; pressure control; robust control; self-adjusting systems; steam power stations; uncertain systems; biology immune system; disturbance rejection ability; fuel quantity variation; furnace radiant energy; give-wind variation; main steam pressure control system; middle adjustment signal; power plant; robustness; self-adaptability; time-delay system; two-cell immune feedback mechanism model; Biological system modeling; Computational biology; Control systems; Feedback; Fuels; Immune system; Power generation; Pressure control; Robustness; Three-term control; Immune mechanism; Main steam pressure system; Power plant; Two-cell immune adjust;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4594576