临近空间无动力攻击器弹道优化设计研究

Trajectory Optimization of Near Space Unpowered Attacker

针对临近空间无动力攻击器弹道优化设计问题,设计了弹道方案,并将弹道优化问题转化为有约束的非线性规划问题。结合弹道模型,采用基于均匀设计和偏最小二乘回归的响应面法,构造了目标函数和约束条件的响应面,以基于惩罚函数的遗传算法为优化算法,求得了优化解。结果表明,与优化前相比,弹道前段更为平缓,达到了节能、稳定飞行、滑翔增程的目的;弹道后段更为陡峭,使得攻击器具有更好的突防和目标毁伤能力。

In terms of the trajectory optimization for the near space unpowered attacker,the trajectory of the attacker is designed.Then the trajectory optimization issue transformed into constrained nonlinear programming issue.The trajectory model is given and in the model,the response surface of the objective functions and constraints is built based on uniform design experiment and partial least squares regression.Then the genetic algorithm based on the penalty function is used for the optimization of the response surface and the optimized solutions are obtained.The results shows that in contrast with the trajectory without optimization,the optimized trajectory has advantages that the initial stage of the trajectory is more gentle thus it is energy saving,stable flight,extends the glide range,the back stage of the trajectory is more steep which results in better penetration and more target′s damage.