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

Jie Li; Ding Fan; Victor Sreeram

doi:10.1515/tjj-2013-0018

Article

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

Jie Li , Ding Fan and Victor Sreeram

Published/Copyright: June 21, 2013

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From the journal Int. J. Turbo Jet-Engines Volume 30 Issue 4

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

Received: 2013-04-24

Accepted: 2013-05-06

Published Online: 2013-06-21

Published in Print: 2013-12-16

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Articles in the same Issue

https://doi.org/10.1515/tjj-2013-0018

Keywords for this article

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