推进剂稳态燃速最优化辨识

Optimization identification of steady burning rate of propel lant

考虑侵蚀燃烧对推进剂稳态燃速的影响,将推进剂稳态燃速模型参数辨识问题转化为非线性规划问题求解。采用Powell方法和并行遗传算法组成的混合优化方法,提高了非线性规划问题求解的效率和质量,得到了推进剂稳态燃速模型参数的全局最优辨识值。通过对设计空间的可视化进行优化收敛过程的参数分析,近似得到侵蚀燃烧模型参数的不确定性区间。

The effect of ablative combustion on steady burning rate of propellant was taken into account, and optimization identi fication problem of steady burning rate model of propellant was converted into nonlinear programming problem. The efficiency and quality for solving the nonlinear programming problem were improved by means of a hybrid optimization method which consists of Powell optimization method and genetic algorithms; the global optimum identification solution of the steady burning rate model parameter was gained. The uncertainty range of the ablative combustion model parameters can be approximately obtained by the parameter analysis during the optimization convergence process of the design space visualization.