Abstract
According to the differences analysis compared with the traditional optimization method, here constructs an aerodynamic robust optimization design model aimed at the uncertainty influence of the flight environment parameter, and also demonstrates how both multi-objective evolutionary algorithm and surrogate model can be used to achieve robust optimal designs. Airfoil robust optimization example using the chosen technique has executed and then obtained the Pareto frontier of the result. The illustrated result shows that the robust optimization gets more stable performance and more advantage in aerodynamic design.
Original language | English |
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Pages (from-to) | 46-51 |
Number of pages | 6 |
Journal | Kongqi Donglixue Xuebao/Acta Aerodynamica Sinica |
Volume | 30 |
Issue number | 1 |
State | Published - Feb 2012 |
Keywords
- Airfoil
- Multi-objective evolutionary
- Robust optimization design
- Surrogate model