Title :
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
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;
Journal_Title :
Mechatronics, IEEE/ASME Transactions on
DOI :
10.1109/TMECH.2003.816858
