Title :
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
fDate :
12/1/1995 12:00:00 AM
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;
Journal_Title :
Energy Conversion, IEEE Transactions on