基于遗传算法的固体火箭发动机参数辨识

固体火箭发动机参数辨识为非线性受约束优化问题,经典算法求解此类问题时初值敏感、局部收敛等问题表现较为突出.针对上述难题,将具有良好全局收敛性的遗传算法用于固体火箭发动机参数辨识,得到推进剂燃速模型和喉径变化模型的全局最优辨识值.计算结果表明,固体火箭发动机参数辨识采用遗传算法求解可行,计算结果与试验结果吻合良好.

Identification of model parameters of solid rocket motor based on genetic algorithm

The identification of SRM model parameters is a kind of nonlinear constraint optimization problem.The traditional algorithms for the problem have some disadvantages,such as high sensitivity to initial value and local convergence.Aiming at above problems,genetic algorithm(GA) with excellent global convergence was applied to the identification of SRM model parameters,and the global optimum identification solutions of propellant burning-rate model and throat diameter variation model were obtained.The calculation results show that genetic algorithm(GA) used for identification of SRM model parameters is feasible,and the calculation results agree well with experimental results.