Performance optimization of gas turbine engine

Authors:
Valceres V. R. Silva;Wael Khatib;Peter J. Fleming
Affiliations:
Engenharia Electrica, Universidade Federal de São João del Rei-UFSJ, Praça Frei Orlando 170, 36307-352, MG, Brazil;Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street , Sheffield S1 3JD, UK;Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street , Sheffield S1 3JD, UK
Venue:
Engineering Applications of Artificial Intelligence
Year:
2005

Citing 1
Cited 3

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Abstract

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.