A hybrid optimization based on linear programming and model-assisted pattern search method in PSC

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

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

4 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 publicationCollection of Technical Papers - 44th AIAA Aerospace Sciences Meeting
Pages17282-17288
Number of pages7
StatePublished - 2006
Event44th AIAA Aerospace Sciences Meeting 2006 - Reno, NV, United States
Duration: 9 Jan 200612 Jan 2006

Publication series

NameCollection of Technical Papers - 44th AIAA Aerospace Sciences Meeting
Volume23

Conference

Conference44th AIAA Aerospace Sciences Meeting 2006
Country/TerritoryUnited States
CityReno, NV
Period9/01/0612/01/06

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