徐植桂,张海波.基于MRR-LSSVR 的发动机循环参数优化设计方法[J].航空发动机,2018,44(2):48-56 |
基于MRR-LSSVR 的发动机循环参数优化设计方法 |
Optimal Design Method of Aeroengine Cycle Parameters Based on MRR-LSSVR |
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DOI: |
中文关键词: 飞/ 发一体化 AEDsys 软件 支持向量回归机 设计参数 |
英文关键词:integrated aircraft/engine AEDsys software support vector regression design parameters |
基金项目:国家自然科学基金(51576096)资助 |
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中文摘要: |
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。 |
英文摘要: |
In order to realize the coordinating and matching between aircraft and aeroengine袁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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