进化粒子群算法在航空发动机模型求解中的应用

Application of Evolutionary Particle Swarm Optimization Algorithm in Aero-engine Model Solving

本文将智能算法——进化粒子群算法引入航空发动机建模求解中,对典型的非线性航空发动机模型进行求解。结果表明:进化粒子群算法能解决传统算法计算不收敛的问题,相比传统算法具有不依赖于初猜值、计算速度快等优点,具有很高的精度,具有一定的工程应用价值。

In this paper,the intelligent algorithm-evolutionary particle swarm optimization algorithm is introduced into the aero-engine modeling solution to solve the typical nonlinear aero-engine model.The results show that the evolutionary particle swarm optimization algorithm can solve the problem that the traditional algorithm does not converge.Compared with the traditional algorithm,it has the advantages of not relying on the initial guess value and fast calculation speed.It has high precision and has certain engineering application value.