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  anti-aircraft rockets
An evening air-raid alert was followed by the firing of unfamiliar anti-aircraft rockets.
      


On the basis of the dynamical model of aero-defence rocket launcher by volley firing,the optimization aim of firing order was set up,and possible orders were built according to some influence factors. Some better firing orders were selected by data processing and simulation.The conclusion was obtained which can be used in the employment of the aero-defence rocket launcher.The conclusion shows that reasonable constitution of rocket group and centrosymmetric firing order can improve the firing precision,and difference...

On the basis of the dynamical model of aero-defence rocket launcher by volley firing,the optimization aim of firing order was set up,and possible orders were built according to some influence factors. Some better firing orders were selected by data processing and simulation.The conclusion was obtained which can be used in the employment of the aero-defence rocket launcher.The conclusion shows that reasonable constitution of rocket group and centrosymmetric firing order can improve the firing precision,and difference between the variation course of mass-centre of rocket boxes can work on initial disturbance.

在建立群射防空火箭炮动力学模型的基础上,确立了射序优化的目标,考虑到其影响因素,编排了可能发射顺序.进行了仿真和数据处理,优选出了较好的射序.结果表明:火箭弹群组的合理构成和射序的中心对称能提高射击精度,发射箱质心位置变化历程的不同对起始扰动影响很大.此结论能够直接应用到该型火箭炮的实战中.

The BP neural network is trained to be able to simulate the non-linear dynamical connection between the variable firing interval and the initial disturbance with swatch from the dynamical simulation.The variable interval was studied using the trained neural network and optimized,and a group of interval value was obtained with the smaller initial disturbance.The simulation of dynamical gives some evidence that optimization result credible,which can be referenced for the interval of the MRLS used in anti air-strike...

The BP neural network is trained to be able to simulate the non-linear dynamical connection between the variable firing interval and the initial disturbance with swatch from the dynamical simulation.The variable interval was studied using the trained neural network and optimized,and a group of interval value was obtained with the smaller initial disturbance.The simulation of dynamical gives some evidence that optimization result credible,which can be referenced for the interval of the MRLS used in anti air-strike battle.

通过动力学仿真为BP网络建立训练样本,从而使其能够模拟变发射间隔与起始扰动的非线性动力学关系。在对BP网络训练后对变间隔的问题进行研究,并进行优化,从而得出了一组较好的发射间隔值,使得相应的起始扰动较小。动力学的仿真表明BP网络优化的结果比较可靠,从而为确定群射防空火箭炮的发射间隔提供参考。

 
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