Title :
Application of internal model control in main steam temperature system
Author :
Liang Weiping ; Wang Jiarong
Author_Institution :
Dept. of Autom., North China Electr. Power Univ., Baoding, China
Abstract :
The main steam temperature object is a system with large inertia, large time delay and time varying. The PID control cannot obtain satisfactory control performance. This paper proposes a method, which uses internal model cascade control system to control the main steam temperature system. Quantum genetic algorithm is applied to optimize the parameters of the filter. Simulation results show that the method has advantages.
Keywords :
cascade control; delays; genetic algorithms; steam plants; temperature control; time-varying systems; internal model cascade control system; main steam temperature system; parameter optimization; quantum genetic algorithm; steam power plant; time delay system; time varying system; Filtering algorithms; Genetic algorithms; Load modeling; Process control; Temperature; Temperature control; filter parameter; internal model control; main steam temperature system; quantum genetic algorithm;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6895522
