Performance optimization of gas turbine engine

Performance optimization of a gas turbine engine can be expressed in terms of minimizing fuel consumption while maintaining nominal thrust output, maximizing thrust for the same fuel consumption and minimizing turbine blade temperature. Additional control layers are used to improve engine performanc...

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Bibliographic Details
Published inEngineering applications of artificial intelligence Vol. 18; no. 5; pp. 575 - 583
Main Authors Silva, Valceres V.R., Khatib, Wael, Fleming, Peter J.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.08.2005
Subjects
Fuel control
Gas turbines
Genetic algorithms
Optimization
Temperature control
Gas turbines
Temperature control
Fuel control
Optimization
Genetic algorithms
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Summary:Performance optimization of a gas turbine engine can be expressed in terms of minimizing fuel consumption while maintaining nominal thrust output, maximizing thrust for the same fuel consumption and minimizing turbine blade temperature. Additional control layers are used to improve engine performance. This paper presents an evolutionary approach called the StudGA as the optimization framework to design for optimal performance in terms of the three criteria above. This approach converges fast and can potentially save on computing cost. Model-based experimental results are used to illustrate this approach.
ISSN:0952-1976
1873-6769
DOI:10.1016/j.engappai.2005.01.001