The use of a genetic algorithm in power plant control system design

Author

Dimeo, Robert ; Lee, Kwang Y.

Author_Institution

Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA

Volume

1

fYear

1995

fDate

13-15 Dec 1995

Firstpage

737

Abstract

The use of a genetic algorithm is studied in designing control systems for a boiler-turbine power plant, with specifics in developing a proportional-integral (PI) controller and a state feedback controller for a non-linear multi-input/multi-output (MIMO) plant model. The plant model is presented along with a discussion of the inherent difficulties in such controller development. A sketch of the genetic algorithm (GA) is presented and its strategy as a method of control system design is discussed

Keywords

MIMO systems; boilers; genetic algorithms; nonlinear control systems; power plants; power station control; robust control; state feedback; steam turbines; MIMO plant model; PI controller; boiler-turbine power plant; genetic algorithm; nonlinear multi-input/multi-output plant model; power plant control system design; proportional-integral controller; state feedback controller; Algorithm design and analysis; Control system synthesis; Control systems; Genetic algorithms; Nonlinear control systems; Pi control; Power generation; Power system modeling; Proportional control; State feedback;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1995., Proceedings of the 34th IEEE Conference on

Conference_Location

New Orleans, LA

ISSN

0191-2216

Print_ISBN

0-7803-2685-7

Type

conf

DOI

10.1109/CDC.1995.479067

Filename

479067