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ucin1291053513.pdf (584.35 KB)
ETD Abstract Container
Abstract Header
Genetic Fuzzy Controller for a Gas Turbine Fuel System
Author Info
Vick, Andrew W.
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1291053513
Abstract Details
Year and Degree
2010, MS, University of Cincinnati, Engineering and Applied Science: Aerospace Engineering.
Abstract
In this study, a fuel system controller for a gas turbine engine was examined. Controller design in this application is challenging due to nonlinearities in the closed loop system, as well as uncertainties associated with hardware components from part variation or degradation. Current closed loop design methodologies are discussed, as are the limitations or challenges facing these systems. Details on fuzzy logic control and its benefits in this type of application are explored. Information on genetic algorithms is presented, along with a study on how this optimization approach can be utilized to enhance the fuzzy logic controller process. A fuzzy logic controller structure was developed for providing closed loop fuel control in the gas turbine application, using a genetic algorithm to tune the system to provide an accurate and fast response to changing input demands. With a genetic fuzzy controller in place, closed loop analysis was performed, along with a stochastic robustness analysis to assess controller performance in an uncertain environment. Results show that the genetic fuzzy system performed well in this application, resulting in a system with fast rise and settling times to stepping inputs, while also minimizing overshoot and steady state error. Robustness characteristics of the fuzzy controller were also demonstrated, as the stochastic robustness analysis yielded acceptable performance in each simulation of the closed loop system with uncertainties included.
Committee
Kelly Cohen, PhD (Committee Chair)
Bruce Walker, ScD (Committee Member)
Manish Kumar, PhD (Committee Member)
Pages
99 p.
Subject Headings
Aerospace Materials
Keywords
Genetic Algorithm
;
Fuzzy Logic
;
Gas Turbine
;
Fuel System
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Citations
Vick, A. W. (2010).
Genetic Fuzzy Controller for a Gas Turbine Fuel System
[Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1291053513
APA Style (7th edition)
Vick, Andrew.
Genetic Fuzzy Controller for a Gas Turbine Fuel System.
2010. University of Cincinnati, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1291053513.
MLA Style (8th edition)
Vick, Andrew. "Genetic Fuzzy Controller for a Gas Turbine Fuel System." Master's thesis, University of Cincinnati, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1291053513
Chicago Manual of Style (17th edition)
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Document number:
ucin1291053513
Download Count:
971
Copyright Info
© 2010, some rights reserved.
Genetic Fuzzy Controller for a Gas Turbine Fuel System by Andrew W. Vick is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.