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

作　　者：叶一帆 王占学[1] 张晓博[1] YE Yi-fan;WANG Zhan-xue;ZHANG Xiao-bo(Shaanxi Key Laboratory of Internal Aerodynamics in Aero-Engine,School of Power and Energy,Northwestern Polytechnical University,Xi’an 710129,China)

机构地区：[1]西北工业大学动力与能源学院陕西省航空发动机内流动力学重点实验室,陕西西安710129

出　　处：《推进技术》2021年第12期2684-2693,共10页Journal of Propulsion Technology

基　　金：国家自然科学基金(52076180,51876176,51906204);国家科技重大专项(2017-I-0001-0001)。

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。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.

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 

分 类 号：V221.8[航空宇航科学与技术—飞行器设计]