Research and application of cycle parameter optimization algorithm for high bypass ratio turbofan engine

CAO Ming-dong; WANG Zhan-xue; CAI Yuan-hu; LIU Zeng-wen

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Research and application of cycle parameter optimization algorithm for high bypass ratio turbofan engine

更新时间：2026-07-07

- Research and application of cycle parameter optimization algorithm for high bypass ratio turbofan engine
- Vol. 28, Issue 2, (2013)
- 作者机构：
  
  西北工业大学动力与能源学院,西安,710072
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2013
- 稿件说明：
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CAO Ming-dong, WANG Zhan-xue, CAI Yuan-hu, et al. Research and application of cycle parameter optimization algorithm for high bypass ratio turbofan engine[J]. 2013, 28(2).
DOI：

CAO Ming-dong, WANG Zhan-xue, CAI Yuan-hu, et al. Research and application of cycle parameter optimization algorithm for high bypass ratio turbofan engine[J]. 2013, 28(2). DOI：

摘要

针对多约束条件与多优化变量的大涵道比涡扇发动机循环参数优化问题

提出了自适应三次变异差分进化算法

运用多个Benchmarks多峰函数对算法进行验证

并将该算法与大涵道比涡扇发动机性能计算程序相结合

对多约束条件下的循环参数进行了优化.计算结果表明:自适应三次变异差分进化算法比传统差分进化算法收敛精度更高、收敛速度更快

大幅度提高了大涵道比涡扇发动机循环参数优化效果

适合解决大涵道比涡扇发动机循环参数优化问题.

Abstract

To investigate the high bypass ratio turbofan propulsion cycle optimization utilizing the multi-constraints and multi-optimization variables

a self-adaptive three times variation differential evolution (STTVDE) was developed and verified by the Benchmarks multi-peak functions.The turbofan propulsion cycle parameters with multi-constraint parameters were optimized by incorporating STTVDE with the aero-engine performance program.The results demonstrate that the convergence precision of STTVDE is higher and the convergence speed of STTVDE is faster in comparison with differential evolution (DE).Besides

applying STTVDE

the efficiency of cycle parameter optimization is improved markedly. Therefore

the proposed method is considered as a promising method for turbofan propulsion cycle parameter optimization.

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