An Investigation Into the Application of Fuzzy Logic Control to Industrial Gas Turbines

[+] Author and Article Information
G. M. Nelson

 GE Energy Services, General Electric Internatonal, Inc., G3 8BW Scotland, UK

H. Lakany1

 University of Essex, Wivenhoe Park, Colchester C04 35Q, UKhlakany@essex.ac.uk


Corresponding author.

J. Eng. Gas Turbines Power 129(4), 1138-1142 (May 24, 2007) (5 pages) doi:10.1115/1.2771568 History: Received April 22, 2007; Revised May 24, 2007

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.

Copyright © 2007 by American Society of Mechanical Engineers
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Grahic Jump Location
Figure 1

Membership functions of temperature error (E) (left panel) and temperature error derivative (Ė) (right panel)

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Figure 2

Criteria used in assessment

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Figure 3

Comparison of results of FLC and PI of TTXM response

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Figure 4

Input space defined in terms of X1 and X2.



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