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基于MRR-LSSVR的发动机循环参数优化设计方法

         

摘要

为了实现飞机与发动机之间良好的协调与匹配,基于飞/发一体化设计软件AEDsys,通过约束分析、任务分析、参数循环分析、性能循环分析和安装性能分析等环节,对涡扇发动机总体设计进行了系统分析.针对性能循环分析中的备选发动机决策问题,提出了基于多输入多输出约简迭代最小二次支持向量回归机(MRR-LSSVR)的备选发动机代理模型构建方法,用于映射发动机设计参数与性能之间的关系,并通过可行序列二次规划(FSQP)算法自动优化出最佳的发动机设计循环参数组合,克服了AEDsys软件中发动机参数选择环节较为依赖设计经验、效率低的缺陷.%In order to realize the coordinating and matching between aircraft and aeroengine,based on the integrated aircraft/engine AEDsys software,the overall design of turbofan engine was systematically analyzed through constraint analysis,mission analysis, parametric cycle analysis,performance cycle analysis and installed performance analysis etc.Aiming at the issue of candidate engine decision making in performance cycle analysis,a method of constructing the candidate engine surrogate model based on Muti-input Muti-output Recursive Reduced Least Squares Support Vector Regression was proposed which created a mapping between the engine design parameters and performance. Then, was optimized the best combination of engine design cycle parameters automatically by using Feasible Sequential Quadratic Programming (FSQP) algorithm.It overcomes the defects of engine parameter selection in AEDsys software,which depends too much on the design experience and has relatively low efficiency.

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