A hybrid optimization method research for aeroengine performance seeking control

Yu Bin Zhu, Si Qi Fan, Xiu Hua Zhang, Hua Cong Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

According to the optimization control modes of performance seeking control (PSC) in aeroengine, the aeroengine performance optimization problems which were described as a linear programming problem are studied. In respect that the linear programming is only guaranteed to converge to a local minimized and nonlinear method is much more computation, a hybrid algorithm based on linear programming (LP) and Model-Assisted Pattern Search (MAPS) is provided in this paper. And the hybrid optimization method is used for aeroengine control. Digital simulations are conduced in maximum thrust mode and minimum fuel mode in this paper. Simulation results demonstrate that the engine performance can be improved further and calculation time can be reduced rapidly by using hybrid algorithm.

Original languageEnglish
Title of host publicationProceedings of 8th Biennial ASME Conference on Engineering Systems Design and Analysis, ESDA 2006
StatePublished - 2006
Event8th Biennial ASME Conference on Engineering Systems Design and Analysis, ESDA2006 - Torino, Italy
Duration: 4 Jul 20067 Jul 2006

Publication series

NameProceedings of 8th Biennial ASME Conference on Engineering Systems Design and Analysis, ESDA2006
Volume2006

Conference

Conference8th Biennial ASME Conference on Engineering Systems Design and Analysis, ESDA2006
Country/TerritoryItaly
CityTorino
Period4/07/067/07/06

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