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针对运用间接法进行弹道优化时存在共轭变量初值高度敏感难以估计而无法获得全局最优解的缺点,引入混合遗传算法对弹道优化时的共轭变量初值进行搜索,并求解获得具有最大横程的再入轨迹.求解时考虑了热流约束、过载约束和动压约束,约束的处理采用惩罚函数方法,通过对不可行解的惩罚转换为无约束问题.数值仿真验证了该算法实用性.
Aiming at the shortcomings that the initial value of conjugate variable is difficult to estimate and can not obtain the global optimal solution when the ballistic optimization using the indirect method exists, a hybrid genetic algorithm is introduced to search the initial value of the conjugate variable during ballistic optimization and obtain the maximum The trajectory of trajectory re-entry is taken into consideration.The heat flux constraint, the overload constraint and the dynamic pressure constraint are taken into account in the solution, and the penalty function is used to deal with the constraint, and the penalty of impractical solution is transformed into the unconstrained problem by numerical simulation. .