免疫算法在火箭发动机静态特性研究中的应用

Application of immunity strategy for the study of the static characteristics of a rocket engine

关键词:  液体推进剂火箭发动机  免疫策略+  全流量补燃循环+  静态特性  优化

Key words:  Liquid propellant rocket engine  Immunity strategy~+  Full-flow staged combustion cycle~+  Static characteristics  Optimization

摘要:

发展一种研究全流量补燃循环液体火箭发动机静态特性的算法—免疫策略算法。采用免疫策略算法求解液体火箭发动机的静态特性方程组,将该模型的非线性方程组求解问题转化为求带有约束的极小值的优化问题,建立了免疫策略计算模型。设计了免疫策略计算中使用的交叉算子和变异算子,叙述了免疫操作的处理过程。数值计算的结果表明,利用基于免疫策略的算法可以在较大范围内进行全流量补燃循环液体火箭发动机的静态特性研究,并且减轻原有进化算法在计算后期的波动现象,使得收敛的速度得到较大提高。

Abstract:

Immunity Strategy algorithm was developed to study the static characteristics of the full-flow staged combustion cycle liquid propellant rocket engine. The immune strategy algorithms were proposed based on the theory of immunity in biology. Immunity strategy algorithm of solving the large dimension non-linear mathematical model was presented. It converts the problem of solving non-linear equations into the optimization problem of the solving the minimum value with constraints. The cross operator, mutation operator and the process of immune operation were presented. Calculation results show that using Immunity Strategy algorithm can show the static characteristics of the full-flow staged combustion cycle liquid propellant rocket engine, and evidently restrain the degeneration phenomenon during the evolutionary process, and thus increase the convergent speed greatly.