空战机动决策方法研究

在阐述空战机动决策作用的同时 ,分析对比了几种常用空战机动决策方法 :矩阵对策法、专家系统法、神经网络法和微分对策法等 ;在此基础上引入了一种新的空战机动决策方法——决策影响图法 ,并对其具体应用作了探讨。     

用结构自适应前馈网络解算多目标导弹攻击区

多目标导弹攻击区的实时解算是机载多目标攻击武器系统得以技术实现的中心环节。阐述了“多目标导弹攻击区”的概念 ,探索了其解算的技术途径 ,提出了“实时、高精度和低存储”的解算要求。根据上述技术要求 ,设计了基于网络灵敏度统计分析的多层前馈网络结构自适应算法 ,以用于训练合适规模的多层前馈网络逼近器。在此基础上 ,进行了系统仿真研究 ,研究的结果表明了该方案的应用前景。     

基于混沌量子粒子群的舰炮身管多目标优化研究

舰炮的炮口扰动是影响舰炮射击精度的重要因素。为了减少舰炮的炮口扰动，优化身管结构，建立了柔性身管的有限元模型并将该模型的模态计算结果与模态试验测试值进行对比,证明建立的柔性身管有限元模型是有效的。提出了混沌量子粒子群算法与动力学联合优化的方法，进行身管和炮口的多目标优化，优化结果表明：优化后的炮口中心的线速度、角速度和角位移与优化前相比显著减小，身管质量有所降低，结构更加合理，该优化方法有效可行，为下一步全炮总体优化设计提供了一定的借鉴。     

Influence of high overload on the collimating lenses of laser ranging systems

Collimating lenses are an important component of laser ranging systems, and high overload environments severely affect the beam shaping effect of such lenses. This study proposes a buffer isolation method on the basis of impact stress wave attenuation theory for collimating lens spacers. ANSYS finite element software was applied to simulate the high load dynamics of collimating lenses, and the buffer isolation performance of different materials and composite structures was compared and analysed. Optical simulation analysis of the collimating lenses under different buffer conditions was performed using ZEMAX software to study the mechanism by which a high overload affects the collimating lenses. High overload and optical shaping experiments based on theoretical analysis were further conducted. Results showed the superiority of butadiene rubber to polytetrafluoroethylene after application of 70000 g impact acceleration. The combination-gasket method was superior to the single-gasket method, and the sandwich combination-gasket method was superior to the double-layer combination-gasket method.     

三维空战次最优火控模型

针对三维空战,应用强迫奇异摄动理论解决了追逃最优策略无法求解的难题,建立起了三维中距空战的追逃次最优火控模型.该模型的突出特点是最优解具有闭环形式,可以在线完成.仿真结果表明:该火控模型可以准确地实现对目标的三维攻击,并且避免了求解最优控制中经常出现的两点边值问题,使数值计算量大为减少.     

防空兵群射击指挥方式及其优化问题

从防空兵作战指挥的实际需求出发,利用概率论和防空作战运筹理论,描述了集中、分散、混合和平行等射击指挥方式的概念、特点及其相互关系,论述了射击指挥方式定量分析的基本方法、主要依据和指标,建立了基于群抗击效率的评估模型,在对多种射击指挥方式进行定量比较的基础上,揭示了射击指挥中具有普遍意义的、潜在的实用规则.     

区域防空网络化作战体系结构研究

区域防空网络化作战是未来防空作战的发展趋势。基于对区域防空网络化作战的需求分析,围绕网络化防空作战中网络连接对象和连接方式两个核心问题,建立了区域防空传感器网络、指挥控制网络、武器系统网络的体系结构。此项研究对于区域防空网络化作战体系的优化分析和规划具有一定的指导意义。     

基于CCA/DEA的装备维修保障绩效评价

运用典型相关分析方法(CCA)和数据包络法(DEA),从纯技术效率、规模效率和综合效率3方面对空军飞行团维修保障绩效进行计算分析,结果表明,飞行团维修费使用效益方面经费配置效率整体不高,特别是对于中修费和维修器材购置费,须采取管控措施提高经费利用效率。     

越肩发射次最优火控系统设计

在非线性导弹火力控制设计方面 ,相关黎卡提方程 (SDRE)理论证明是一种系统而高效的方法。对于越肩发射火控系统而言 ,在攻击载机后方目标的过程中 ,机载设备往往只能获取目标的角度信息 ,即非完全目标信息。本文基于非完全目标信息 ,采用非线性 SDRE状态调节器理论 ,设计越肩发射次最优火控系统 ,求得系统的局部渐进稳定次优解 ,用以实现“越肩”火控过程     

Balancing a one‐way corridor capacity and safety‐oriented reliability: A stochastic optimization approach for metro train timetabling

In urban rail transit systems of large cities, the headway and following distance of successive trains have been compressed as much as possible to enhance the corridor capacity to satisfy extremely high passenger demand during peak hours. To prevent train collisions and ensure the safety of trains, a safe following distance of trains must be maintained. However, this requirement is subject to a series of complex factors, such as the uncertain train braking performance, train communication delay, and driver reaction time. In this paper, we propose a unified mathematical framework to analyze the safety‐oriented reliability of metro train timetables with different corridor capacities, that is, the train traffic density, and determine the most reliable train timetable for metro lines in an uncertain environment. By employing a space‐time network representation in the formulations, the reliability‐based train timetabling problem is formulated as a nonlinear stochastic programming model, in which we use 0‐1 variables to denote the time‐dependent velocity and position of all involved trains. Several reformulation techniques are developed to obtain an equivalent mixed integer programming model with quadratic constraints (MIQCP) that can be solved to optimality by some commercial solvers. To improve the computational efficiency of the MIQCP model, we develop a dual decomposition solution framework that decomposes the primal problem into several sets of subproblems by dualizing the coupling constraints across different samples. An exact dynamic programming combined with search space reduction strategies is also developed to solve the exact optimal solutions of these subproblems. Two sets of numerical experiments, which involve a relatively small‐scale case and a real‐world instance based on the operation data of the Beijing subway Changping Line are implemented to verify the effectiveness of the proposed approaches.