Title :
Genetic Adaptive Control for Drum Level of a Power Plant Boiler
Author :
Yonghong Huang ; Nianping Li ; Yangchun Shi ; Yixun Yi
Author_Institution :
College of Energy & Power Engineering, Changsha University of Science & Technology, Changsha,, 410076, Hunan, China. hyh8986@yahoo.com.cn, College of Civil Engineering, Hunan University, Changsha, 410082, Hunan, China
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; 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, China
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
DOI :
10.1109/CESA.2006.313635