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遗传算法在求解航空发动机非线性模型中的应用
引用本文:李松林,孙健国.遗传算法在求解航空发动机非线性模型中的应用[J].中国航空学报,2003,16(2):69-72.
作者姓名:李松林  孙健国
作者单位:College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics,College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics Nanjing 210016,China,Nanjing 210016,China
基金项目:Aeronautic Science Foundation of China ( 0 0 C5 2 0 3 0 ) and National Doctoral Education Foundation ( 2 0 0 0 0 2 870 1)
摘    要:将求解发动机非线性模型转化为一优化问题,提出一种用遗传算法(GA)来求解非线性模型的方法。与传统的N-R法相比,用GA法对初猜值的精度没有要求。对猜值缺少先验知识的非线性方程组的求解,GA法可大大提高求解非线性模型的收敛性。将GA算法与N-R法适当地组合应用,可进一步提高收敛速度。

关 键 词:遗传算法  航空发动机  非线性模型  数学模型  收敛性

Application of Genetic Algorithm to Solving Nonlinear Model of Aeroengines
LI Song-lin,SUN Jian-guo.Application of Genetic Algorithm to Solving Nonlinear Model of Aeroengines[J].Chinese Journal of Aeronautics,2003,16(2):69-72.
Authors:LI Song-lin  SUN Jian-guo
Abstract:Solving the nonlinear model of an aeroengine is converted to an optimization problem, and thus some optimization search methods can be used. An approach to solving the nonlinear model of an aeroengine by use of the genetic algorithm (GA) is developed. By comparison with N R algorithm, the accuracy of the values of initial guesses is not required for GA. Especially, the approach developed can be used when no priori knowledges of the values of initial guesses are availabe, and the convergence is improved significantly. GA properly combined with N R algorithm can increase the convergence speed.
Keywords:genetic algorithm  aeroengine  mathematic model  nonlinear equations  nonlinerar optimization
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