TY - JOUR
T1 - An investigation into the application of fuzzy logic control to industrial gas turbines
AU - Lakany, H.
AU - Nelson, G.M.
N1 - Paper also presented at International Conference of the European Society for Fuzzy Logic and Technology, 2003
PY - 2007
Y1 - 2007
N2 - This paper investigates the feasibility benefits of applying fuzzy logic control (FLC) strategies for use with industrial gas turbines. Our main objective is to investigate different designs methods, design implement an FLC strategy, plant simulation in a test environment optimize the FLC, conduct tests to compare the FLC with conventional controls in scenarios relevant to the application. We have designed, implemented, and tested our simulation to the exhaust temperature control problem of a gas turbine problem. The FLC, plant simulation, existing control configuration, and integrated test environment were developed in Java. Heuristic methods were used to optimize the FLC, which proved time consuming. The paper illustrates that while implementation of the FLC is feasible, it requires more effort than the conventional controls examined.
AB - This paper investigates the feasibility benefits of applying fuzzy logic control (FLC) strategies for use with industrial gas turbines. Our main objective is to investigate different designs methods, design implement an FLC strategy, plant simulation in a test environment optimize the FLC, conduct tests to compare the FLC with conventional controls in scenarios relevant to the application. We have designed, implemented, and tested our simulation to the exhaust temperature control problem of a gas turbine problem. The FLC, plant simulation, existing control configuration, and integrated test environment were developed in Java. Heuristic methods were used to optimize the FLC, which proved time consuming. The paper illustrates that while implementation of the FLC is feasible, it requires more effort than the conventional controls examined.
KW - integral proportional control
KW - heuristic method
KW - optimization
KW - numerical simulation
KW - gas turbine
KW - fuzzy logic
UR - http://dx.doi.org/10.1007/BF02471115
UR - http://dx.doi.org/10.1115/1.2771568
U2 - 10.1115/1.2771568
DO - 10.1115/1.2771568
M3 - Article
VL - 129
SP - 7
EP - 10
JO - Journal of Engineering for Gas Turbines and Power
JF - Journal of Engineering for Gas Turbines and Power
SN - 0742-4795
IS - 4
ER -