摘要
优化飞航导弹末段无动力飞行阶段的滑翔距离,对于提高导弹的战技指标具有很大的意义。通过优化分析可知,保证最大滑翔距离的最优滑翔策略近似等价于导弹以最大升阻比飞行。为了实现这种飞行策略,首先设计了寻优法实现策略,然后比较了另外两种可行的控制方式,经仿真发现都可以实现理论上的数值最优解。为了在导弹真实飞行时保证这一策略的实现,提出了利用神经网络逼近气动数据的自适应方法,作为进一步工作的方向。
Maximization of cruise missile's terminal power-free glide distance has a great significance to raise its tactical index. From the optimization analysis, the strategy to guarantee maximum glide distance is equivalent to keep maximum lift-to-drag ratio in the flight. Three methods have been presented to achieve this goal and obtain optimal numerical solution respectively. To online realize this strategy, neural networks have been presented to approximate air-dynamic data as an adaptive model for future research direction.
出处
《飞行力学》
CSCD
北大核心
2006年第1期26-29,共4页
Flight Dynamics
关键词
飞航导弹
最优滑翔
升阻比
优化
神经网络
cruise missile
optimal glide
lift-to-drag ratio
optimization
neural network