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International Journal of Turbo & Jet-Engines

Ed. by Sherbaum, Valery / Erenburg, Vladimir


IMPACT FACTOR 2018: 0.863

CiteScore 2018: 0.66

SCImago Journal Rank (SJR) 2018: 0.211
Source Normalized Impact per Paper (SNIP) 2018: 0.625

Online
ISSN
2191-0332
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Volume 30, Issue 4

Issues

SFC Optimization for Aero Engine Based on Hybrid GA-SQP Method

Jie Li / Ding Fan / Victor Sreeram
  • Department of Electrical, Electronic and Computer Engineering, University of Western Australia, Crawley, Western Australia 6009, Australia
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2013-06-21 | DOI: https://doi.org/10.1515/tjj-2013-0018

Abstract

This study focuses on on-line specific fuel consumption (SFC) optimization of aero engines. For solving this optimization problem, a nonlinear pneumatic and thermodynamics model of the aero engine is built and a hybrid optimization technique which is formed by combining the genetic algorithm (GA) and the sequential quadratic programming (SQP) is presented. The ability of standard GA and standard SQP in solving this type of problem is investigated. It has been found that, although the SQP is fast, very little SFC reductions can be obtained. The GA is able to solve the problem well but a lot of computational time is needed. The presented hybrid GA-SQP gives a good SFC optimization effect and saves 76.6% computational time when compared to the standard GA. It has been shown that the hybrid GA-SQP is a more effective and higher real-time method for SFC on-line optimization of the aero engine.

Keywords: specific fuel consumption; aero engine; optimal control; genetic algorithm; sequential quadratic programming; hybrid algorithm

About the article

Received: 2013-04-24

Accepted: 2013-05-06

Published Online: 2013-06-21

Published in Print: 2013-12-16


Citation Information: Int. J. Turbo Jet-Engines, Volume 30, Issue 4, Pages 383–391, ISSN (Online) 2191-0332, ISSN (Print) 0334-0082, DOI: https://doi.org/10.1515/tjj-2013-0018.

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