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

  • Jie Li EMAIL logo , Ding Fan und Victor Sreeram
Veröffentlicht/Copyright: 21. Juni 2013
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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.

Received: 2013-04-24
Accepted: 2013-05-06
Published Online: 2013-06-21
Published in Print: 2013-12-16

©[2013] by Walter de Gruyter Berlin Boston

Heruntergeladen am 27.12.2025 von https://www.degruyterbrill.com/document/doi/10.1515/tjj-2013-0018/html?lang=de
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