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大涵道比涡扇发动机循环参数优化算法研究及应用
引用本文:曹铭栋,王占学,蔡元虎,刘增文. 大涵道比涡扇发动机循环参数优化算法研究及应用[J]. 航空动力学报, 2013, 28(2): 372-378
作者姓名:曹铭栋  王占学  蔡元虎  刘增文
作者单位:西北工业大学 动力与能源学院,西安 710072
基金项目:国家自然科学基金(51176156);工信部民用飞机专项科研项目(MJ-D-2011-10)
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. 

关 键 词:差分进化   自适应   三次变异   循环参数   优化
收稿时间:2012-03-02

Research and application of cycle parameter optimization algorithm for high bypass ratio turbofan engine
CAO Ming-dong,WANG Zhan-xue,CAI Yuan-hu and LIU Zeng-wen. Research and application of cycle parameter optimization algorithm for high bypass ratio turbofan engine[J]. Journal of Aerospace Power, 2013, 28(2): 372-378
Authors:CAO Ming-dong  WANG Zhan-xue  CAI Yuan-hu  LIU Zeng-wen
Affiliation:School of Engine and Energy, Northwestern Polytechnical University, Xi'an 710072, China
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.
Keywords:differential evolution  self-adaptive  three times variation  cycle parameter  optimization
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