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传统的网格评估方法只能对离散飞行状态点处导弹的稳定性能进行评估,对于全飞行包线内的评估结果缺乏理论保证,并且在计算过程中存在“维数爆炸”问题,对此提出改进算法。将导弹稳定性能评估转化为非线性规划问题,利用遗传算法对其求解,然后将算法用于某型导弹的性能评估,得到各飞行状态下导弹稳定裕度及导致最差裕度的不确定参数组合。结果表明,改进的评估算法可以在不确定参数空间内连续求解,以保证结论可靠性,并且在考虑多个不确定参数时,计算效率更高。
The traditional method of grid assessment can only evaluate the stability of missiles at the discrete flight state points, and there is no theoretical guarantee for the evaluation results of the flight envelope in the whole flight. In addition, the problem of "dimensionality explosion This presents an improved algorithm. The missile stability assessment is transformed into a nonlinear programming problem. The genetic algorithm is used to solve the problem. The algorithm is then used to evaluate the performance of a missile. The uncertainties of the missile stability margin and the worst margin under each flight condition are obtained combination. The results show that the improved evaluation algorithm can be solved continuously in the uncertain parameter space to ensure the reliability of the conclusion, and the computational efficiency is higher when multiple uncertain parameters are considered.