Airfoil optimization design based on a combined optimization strategy

摘要

In order to improve the computational efficiency of the airfoil optimization design, a universal algorithm transformation strategy is proposed. The Multi-Island Genetic Algorithm and the Sequential Quadratic Programming are combined to take into account the global search and fast convergence characteristics. The Hicks-Henne airfoil parameterization method is improved to promote the accuracy of the airfoil tail. Based on the Isight optimization design platform, the airfoil optimization system is built up in a modular way. The multi constraint optimization design of RAE2822 airfoil with lift drag ratio as objective function is presented. The experimental results show that the combined optimization algorithm can reduce the computational complexity and improve the efficiency of optimization.