An Improved Hybrid Optimization Algorithm based on Iteration for Solving Aeroengine Model

DOI

10.2991/aiie-15.2015.124How to use a DOI?

Keywords

Aeroengine; nonlinear equations; iteration; optimization algorithm

Abstract

The solution Algorithm of the aeroengine nonlinear model is a classic problem, which is relatively mature in theory. But this question is still studied today, because the mathematical character of the aeroengine nonlinear model is so complex, that it is difficult to be convergent using the traditional iteration algorithm. So an idea is proposed to solve this problem, which is conversing the model solution to an optimization problem, and using optimization algorithms to solve the difficulties. In order to ensure the calculation speed, the iteration optimization method is chosen, and a new improved hybrid iteration optimization methods is design. In order to verify the improved algorithm, the simulation experiment was carried out taking an given turbofan engine as an example. The simulation results shows that, the solution precision is improved in some degree, when the new algorithm is used.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - D.W. Yin
AU  - R.Y. Lv
AU  - B. Chang
PY  - 2015/07
DA  - 2015/07
TI  - An Improved Hybrid Optimization Algorithm based on Iteration for Solving Aeroengine Model
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 457
EP  - 460
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.124
DO  - 10.2991/aiie-15.2015.124
ID  - Yin2015/07
ER  -