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

Volume

2

fYear

2006

fDate

4-6 Oct. 2006

Firstpage

1965

Lastpage

1968

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CESA.2006.4281960

Filename

4281960