Title :
Genetic Adaptive Control for Drum Level of a Power Plant Boiler
Author :
Huang, Yonghong ; Li, Nianping ; Yangchun Shi ; Yi, Yixun
Author_Institution :
Coll. of Energy & Power Eng., Changsha Univ. of Sci. & Technol., Changsha
Abstract :
Adaptive control strategy is proposed to regulate the drum-level of a power plant boiler. Based on the three-element feedwater control system, recursive least squares method is used to identify the plant parameters and then genetic algorithm (GA) is applied to adjust the parameters of the controller. MATLAB simulation investigation indicates that, compared to the parameter-fixed PID system, GA-self-tuned system is able to reject endogenous and exogenous disturbances more effectively and rapidly, thus has better self-adaptation capability and robustness.
Keywords :
adaptive control; boilers; genetic algorithms; least squares approximations; robust control; self-adjusting systems; thermal power stations; MATLAB simulation; adaptive control; drum level regulation; endogenous disturbance rejection; exogenous disturbance rejection; genetic algorithm; parameter identification; parameter-fixed PID system; power plant boiler; recursive least squares method; robust control; self-tuned system; three-element feedwater control system; Adaptive control; Boilers; Control systems; Genetics; Parameter estimation; Power generation; Programmable control; Systems engineering and theory; Three-term control; Tuners; Adaptive control; Genetic algorithm; Parameter estimation; Power plant; Simulation;
Conference_Titel :
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location :
Beijing
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
DOI :
10.1109/CESA.2006.4281960
