一种新的装备配置优化模型

传统的装备配置优化问题一般采用确定性的数学规划方法解决,难以满足高技术条件下现代战争中需要对大量随机现象和模糊现象进行精确定量分析的实际要求。在分析了高技术条件下装备配置问题一般特性的基础上,根据机会约束规划和模糊机会约束规划的思想,提出了一种新的建立装备配置优化模型的思路和方法,并给出了基于随机模拟的遗传算法的实值算例,算例结果与实际情况基本相符,反映了模型的科学性与实用性。     

拖曳声纳鱼雷的航行动力学模型等价性研究

给出了拖曳声纳鱼雷的动力学仿真与控制算法,采用计算效率较高的离散和递推的方法,算法以f1=fn=0为边界条件进行校核,当该条件满足时,就得到了系统的真实运动.加速度修正方法及搜索方向由优化方法给出,在此动力学模型的基础上,也可以获得封闭的解析式方程,只不过系统方程随n的增加会相当复杂.同时给出了基于Gauss原理的方法,并证明了它们之间的等价性.     

电桥材料和结构对发火感度影响分析

电桥材料和结构可影响电火工品的发火感度,依据电火工品发火能量平衡方程,对几种常用材料不同电桥形状对电火工品(EED)感度的影响进行了分析,结果表明通过改变电桥材料和电桥结构能够降低EED的发火感度,为EED改进提供了依据。     

纯时滞三种群捕食系统持续生存与全局吸引性

研究了具有HollingⅡ功能性反应的纯时滞的两捕食者、一食饵生物系统,通过构造合理的Lyapunov函数讨论了系统的全局吸引性,并得到系统持续生存的充分条件。     

皮格马利翁效应对思想教育工作的启示

皮格马利翁效应通过对人的自我激励机制的强化 ,来调动人的内在积极性和潜力 ,对思想教育工作有重要的启示。思想政治工作者应遵循信任原则、正诱导原则和期望适度原则 ,将皮格马利翁效应创造性地运用到具体的思想教育工作实践中     

某型飞机魔球信号采集与分析

从阐述魔球操作对目标瞄准的实现机制入手,分析了数据采集系统的总体结构及采集系统的硬件设计和软件设计思想.实现了对飞机魔球信号的实时采集,并对采集结果进行仿真分析,从而推导出不同相关武器种类、目标与弹轴不同夹角、不同目标距离、不同工作状态下魔球信号的变化规律.     

XNAV中的相对论效应（Ⅰ）一引力频移和Doppler频移

详细讨论了XNAV(X射线源自主导航)中的广义相对论效应之一：脉冲星发射与观测者接收到X射线的引力频移和Doppler频移。在太阳质心系的1PN和2PN度规下,计算出引力和Doppler频移产生的时间误差,所得结论是对现行公式的修正。     

Shock-induced reaction behaviors of functionally graded reactive material

In this paper, the ballistic impact experiments, including impact test chamber and impact double-spaced plates, were conducted to study the reaction behaviors of a novel functionally graded reactive material (FGRM), which was composed of polytetrafluoroethylene/aluminum (PTFE/Al) and PTFE/Al/bismuth trioxide (Bi₂O₃). The experiments showed that the impact direction of the FGRM had a significant effect on the reaction. With the same impact velocity, when the first impact material was PTFE/Al/Bi₂O₃, compared with first impact material PTFE/Al, the FGRM induced higher overpressure in the test chamber and larger damaged area of double-spaced plates. The theoretical model, which considered the shock wave generation and propagation, the effect of the shock wave on reaction efficiency, and penetration behaviors, was developed to analyze the reaction behaviors of the FGRM. The model predicted first impact material of the FGRM with a higher shock impedance was conducive to the reaction of reactive materials. The conclusion of this study provides significant information about the design and application of reactive materials.     

Research progress on advanced rail materials for electromagnetic railgun technology

Electromagnetic railgun attracts more and more attention due to its advantage in speed,cost,and obscurity.It is found that the rail should withstand huge mechanical and thermal shocks during the launching operation.The forms of rail failure are accompanied by gouge,grooving,transition,and arc ablation,etc.The service life of the rail has become a bottleneck restricting the development of elec-tromagnetic railgun technology.A series of researches are carried out to solve rail failure,including analysing the failure mechanism and using various advanced rail materials.This paper provides a comprehensive review of rail materials,including material composition,preparation,microstructure,and properties.We begin from a short background of the requirement of the rail material.Then a detailed investigation of rail materials is described,and the performances of those materials are introduced.Finally,further development prospect of rail material is discussed.     

Adaptive control of track tension estimation using radial basis function neural network

Track tension is a major factor influencing the reliability of a track. In order to reduce the risk of track peel-off, it is necessary to keep track tension constant. However, it is difficult to measure the dynamic tension during off-road operation. Based on the analysis of the relation and external forces depending on free body diagrams of the idler, idler arm, road wheel and road arm, a theoretical estimation model of track tension is built. Comparing estimation results with multibody dynamics simulation results, the rationality of track tension monitor is validated. By the aid of this monitor, a track tension control system is designed, which includes a self-tuning proportional-integral-derivative (PID) controller based on radial basis function neural network, an electro-hydraulic servo system and an idler arm. The tightness of track can be adjusted by turning the idler arm. Simulation results of the vehicle starting process indicate that the controller can reach different expected tensions quickly and accurately. Compared with a traditional PID controller, the proposed controller has a stronger anti-disturbance ability by amending control pa-rameters online.