Research of hybrid optimization method for aeroengine performance seeking control

Yu Bin Zhu, Si Qi Fan, Hua Cong Li, Chui Bai Yang

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

According to the optimization control modes of aeroengine Performance Seeking Control (PSC), the aeroengine performance optimization problems which were described as a linear programming problem were studied. In respect that the linear programming may converge to a local minimum and nonlinear method is much more time consuming, a hybrid algorithm based on Linear Programming (LP) and Model-Assisted Pattern Search (MAPS) was proposed in this paper. The hybrid optimization method was used for aeroengine control. Digital simulations were conducted at maximum thrust mode and minimum fuel consumption mode. Simulation results demonstrate that the engine performance can be improved further and calculation time can be reduced by using hybrid algorithm.

Original languageEnglish
Pages (from-to)421-426
Number of pages6
JournalHangkong Dongli Xuebao/Journal of Aerospace Power
Volume21
Issue number2
StatePublished - Apr 2006

Keywords

  • Aeroengine
  • Aerospace propulsion system
  • Hybrid optimization method
  • Linear programming
  • Model-assisted pattern search method
  • Performance seeking control

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