基于多代理模型的航空发动机建模及优化方法

In order to improve the performance of aero-engine modelling and optimization algorithm, a new average ensemble model is proposed and used to assist the ego optimization method. By using six well-known mathematical functions with varying dimensions and numbers of training points, it is proved that the proposed ensemble model is more accurate than the other ensemble models, and the convergence of the proposed optimization algorithm is better than that of the classic optimization algorithm. Meanwhile, the steady performance modelling problem of the variable cycle engine and the optimization problem of the variable cycle engine acceleration fuel control schedule are also considered, it is proved that the proposed algorithms perform well in solving a complex engineering problem.