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基于混合粒子群算法的航空发动机数学模型解法
引用本文:骆广琦,刘波,宋頔源.基于混合粒子群算法的航空发动机数学模型解法[J].燃气涡轮试验与研究,2011,24(2):5-8.
作者姓名:骆广琦  刘波  宋頔源
作者单位:1. 空军工程大学工程学院,陕西,西安,710038
2. 驻420厂军事代表室,四川,成都,610066
摘    要:以双转子混合排气涡扇发动机为研究对象,研究了粒子群算法(PSO)应用于航空发动机性能仿真时,控制参数对模型收敛性的影响,并结合N+1点残量法的优点,提出了在模型不收敛点采用粒子群算法与N+1点残量法交替计算的混合算法。理论分析与数值仿真结果表明,该算法既保持了N+1点残量法的高效率、高精度计算,又继承了粒子群算法大范围收敛的优点,可实现模型大范围、高效率、高精度收敛。

关 键 词:航空发动机  非线性数学模型  混合粒子群算法  计算效率  收敛性

Hybrid Particle Swarm Optimization in Solving Aero-engine Nonlinear Mathematical Model
LUO Guang-qi,LIU Bo,SONG Di-yuan.Hybrid Particle Swarm Optimization in Solving Aero-engine Nonlinear Mathematical Model[J].Gas Turbine Experiment and Research,2011,24(2):5-8.
Authors:LUO Guang-qi  LIU Bo  SONG Di-yuan
Institution:LUO Guang-qi1,LIU Bo2,SONG Di-yuan1(1.The Engineering Institute,Air Force Engineering University,Xi'an 710038,China,2.Military Deputy Agency of 420 Factory,Chengdu 610066,China)
Abstract:Taking the two-spool turbofan engine as the research object,the effects of control parameters on convergence model was investigated as Particle Swarm Optimization(PSO) was used for aero-engine performance simulations.Then combined PSO with N+1,an improved hybrid algorithm was offered,which was used for unconverged points of model.In the improved hybrid algorithm,N+1 was also the main solution and PSO alternated with N+1 when N+1 diverged.Theoretical analysis and performance simulation results showed that th...
Keywords:aero-engine  nonlinear mathematical model  hybrid particle swarm optimization  calculation efficiency  convergence  
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