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A Hybrid Optimization Method Research for Aeroengine Performance Seeking Control

[+] Author Affiliations
Yu-Bin Zhu, Si-Qi Fan, Xiu-Hua Zhang, Hua-Cong Li

Northwestern Polytechnic University, Xi’an, China

Paper No. ESDA2006-95234, pp. 493-497; 5 pages
doi:10.1115/ESDA2006-95234
From:
  • ASME 8th Biennial Conference on Engineering Systems Design and Analysis
  • Volume 1: Advanced Energy Systems, Advanced Materials, Aerospace, Automation and Robotics, Noise Control and Acoustics, and Systems Engineering
  • Torino, Italy, July 4–7, 2006
  • ISBN: 0-7918-4248-7 | eISBN: 0-7918-3779-3
  • Copyright © 2006 by ASME

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.

Copyright © 2006 by ASME
Topics: Optimization

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