基于多代理模型的航空发动机建模及优化方法

Multi-Surrogates Based Modelling and Optimization Algorithm Suitable for Aero-Engine

关键词:  燃气涡轮发动机  建模方法  优化方法  多代理模型技术  稳态性能建模  燃油控制规律优化

Key words:  Gas turbine engine  Modelling approach  Optimization method  Multiple-surrogate model technique  Steady performance modelling  Optimization of fuel control schedule

摘要:

为了进一步提高组合模型的模型精度，提升基于代理模型的优化方法的性能，本文发展出了一种新的平均组合代理模型，并将其与EGO优化方法相结合，通过六个解析算例对本文发展的建模方法和优化方法进行了测试。结果表明：本文发展的建模方法相较于现有方法精度更高，所发展的优化方法相较于经典代理模型优化方法算法收敛性更强。同时变循环发动机稳态性能建模及加速燃油控制规律优化实例表明，本文发展的方法在处理实际工程问题时依旧可以表现出良好的算法性能。

Abstract:

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.