Design of incremental fuzzy PI controllers for a gas-turbine plant

Author

Kim, Jong-Wook ; Kim, Sang Woo

Author_Institution

Electr. & Comput. Eng. Div., Pohang Univ. of Sci. & Technol., South Korea

Volume

8

Issue

3

fYear

2003

Firstpage

410

Lastpage

414

Abstract

In this paper, incremental fuzzy proportional integral (PI) speed and temperature controllers for a heavy-duty gas-turbine plant are presented. To improve performance, an analysis of incremental fuzzy PI control is provided, and new fuzzy control rules are proposed. In applying the fuzzy PI control to a gas-turbine plant, all gains are optimized by an adaptive genetic algorithm. We show the performance improvement of the proposed controller compared with conventional PI controller via simulations.

Keywords

adaptive control; angular velocity control; control system synthesis; fuzzy control; gas turbine power stations; genetic algorithms; power station control; state-space methods; temperature control; two-term control; adaptive genetic algorithm; fuzzy control rules; gain optimization; heavy-duty gas-turbine plant; incremental fuzzy PI controller design; incremental fuzzy proportional integral speed controllers; incremental fuzzy proportional integral temperature controllers; nonlinear state space equations; performance improvement; simulations; Adaptive control; Fuzzy control; Genetic algorithms; Performance analysis; Pi control; Programmable control; Proportional control; Rotors; Temperature control; Turbines;

fLanguage

English

Journal_Title

Mechatronics, IEEE/ASME Transactions on

Publisher

ieee

ISSN

1083-4435

Type

jour

DOI

10.1109/TMECH.2003.816858

Filename

1232301