Boiler-turbine control system design using a genetic algorithm

Author

Dimeo, Robert ; Lee, Kwang Y.

Author_Institution

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

Volume

10

Issue

4

fYear

1995

fDate

12/1/1995 12:00:00 AM

Firstpage

752

Lastpage

759

Abstract

This paper discusses the application of a genetic algorithm to control system design for boiler-turbine plant. In particular we study the ability of the genetic algorithm to develop a proportional-integral (PI) controller and a state feedback controller for a nonlinear 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. Results are presented for two different control systems that have been designed with the genetic algorithm

Keywords

MIMO systems; boilers; control system synthesis; genetic algorithms; nonlinear control systems; optimal control; state feedback; steam turbines; two-term control; MIMO plant model; PI controller; boiler-turbine control system design; genetic algorithm; nonlinear multi-input/multi-output model; optimal control; proportional-integral controller; state feedback controller; Automatic control; Control systems; Genetic algorithms; MIMO; Optimal control; Pi control; Power generation; Power system modeling; Proportional control; Robust control;

fLanguage

English

Journal_Title

Energy Conversion, IEEE Transactions on

Publisher

ieee

ISSN

0885-8969

Type

jour

DOI

10.1109/60.475849

Filename

475849