现代战机导引系统及其关键技术

阐述了现代战机导引系统的功能、结构与工作方式.基于对导弹制导等相关问题的深入研究,以及对战机导引的特点分析,阐述了战机导引控制律设计中应当解决的关键技术与研究途径,包括远距导引、近距导引和机动导引不同阶段的特点、捕获域的定义与计算方法、战机导引律研究特点及其基本工作模态.本研究可为新一代战机导引系统的研制提供参考.     

一种提高后掠侧压式进气道流量系数的有效措施

在一种双楔顶压、侧板中置的常规后掠侧压式进气道基础上通过减小顶板第二压缩角,引入圆弧压缩面设计了一种具有较高流量系数的进气道.利用Fluent商业计算软件对比研究了该进气道与常规进气道在Ma=6和Ma=4下的流动特征及性能.研究发现,新的改进措施能在几乎不降低进气道总压恢复系数的前提下大幅度提高流量系数:在Ma=6来流条件下,改进后的进气道流量系数为0.87,比常规进气道提高14.5%;在Ma=4来流条件下,流量系数为0.69,提高了19%.     

求解双曲型守恒律的高精度,无波动样条逼近有限体积方法

本文从三次样条逼近出发，提出了求解流体力学双曲型守恒律的一种高精度、无波动的数值方法。针对样条函数的特性，本文提出了一种新的通量限制技术，使该方法在光滑区可以达到四阶精度，在流动参数的空间分布出现拐点或极值点时分别退化为二阶或一阶精度的格式。数值实验表明，该方法对流场中的激波和接触间断有很高的分辨率，优于二阶精度的ＴＶＤ格式。     

三维湍流高速进气道内外流场的高效高分辨率解

本文提出一种高效、高分辨率求解三维复杂流场的隐式算法，并成功地用于求解高速进气道内外流场的三维、可压缩、雷诺平均Ｎａｖｉｅｒ－Ｓｔｏｋｅｓ方程组，获得了三个工况五种流场的三维数值解；与有关实验数据比较，结果令人满意。这种算法由Ｊａｍｅｓｏｎ－Ｔｕｒｋｅｌ的ＬＵ分解法和张涵信ＮＮＤ格式的数值通量耦合而成，湍流采用ＢａｌｄｗｉｎＬｏｍａｘ模型。大量数值计算表明，该算法能捕捉到复杂的激波系，有较好的激波     

基于网络信息安全内容审计系统及相关技术研究

伴随着国家信息化不断推进和计算机网络飞速发展,网络信息安全内容审计(CASNI)成为了网络信息安全中不可或缺的重要组成部分.网络信息安全内容审计从网络关键点收集数据包,对其传送的内容进行审计分析,达到网络信息内容可控.本文描述了一种在高速网络环境下分布式、可扩展的高性能网络审计体系结构,分析了Linux(操作系统)捕获数据包的瓶颈,重点论述了使用NAPI (New Application Program Interface)技术和内存映射技术提高数据包捕获,解决审计系统中数据流高速处理的问题.     

Broad-search algorithms for the spacecraft trajectory design of Callisto–Ganymede–Io triple flyby sequences from 2024 to 2040, Part II: Lambert pathfinding and trajectory solutions

Triple-satellite-aided capture employs gravity-assist flybys of three of the Galilean moons of Jupiter in order to decrease the amount of ΔV$\mathrm{\Delta }V$ required to capture a spacecraft into Jupiter orbit. Similarly, triple flybys can be used within a Jupiter satellite tour to rapidly modify the orbital parameters of a Jovicentric orbit, or to increase the number of science flybys. In order to provide a nearly comprehensive search of the solution space of Callisto–Ganymede–Io triple flybys from 2024 to 2040, a third-order, Chebyshev's method variant of the p-iteration solution to Lambert's problem is paired with a second-order, Newton–Raphson method, time of flight iteration solution to the _V∞$V_{\infty }$-matching problem. The iterative solutions of these problems provide the orbital parameters of the Callisto–Ganymede transfer, the Ganymede flyby, and the Ganymede–Io transfer, but the characteristics of the Callisto and Io flybys are unconstrained, so they are permitted to vary in order to produce an even larger number of trajectory solutions. The vast amount of solution data is searched to find the best triple-satellite-aided capture window between 2024 and 2040.     

Multiobjective genetic optimization of Earth–Moon trajectories in the restricted four-body problem

In this paper, optimal trajectories of a spacecraft traveling from Earth to Moon using impulsive maneuvers (ΔV maneuvers) are investigated. The total flight time and the summation of impulsive maneuvers ΔV are the objective functions to be minimized. The main celestial bodies influencing the motion of the spacecraft in this journey are Sun, Earth and Moon. Therefore, a three-dimensional restricted four-body problem (R4BP) model is utilized to represent the motion of the spacecraft in the gravitational field of these celestial bodies. The total ΔV of the maneuvers is minimized by eliminating the ΔV required for capturing the spacecraft by Moon. In this regard, only a mid-course impulsive maneuver is utilized for Moon ballistic capture. To achieve such trajectories, the optimization problem is parameterized with respect to the orbital elements of the ballistic capture orbits around Moon, the arrival date and a mid-course maneuver time. The equations of motion are solved backward in time with three impulsive maneuvers up to a specified low Earth parking orbit. The results show high potential and capability of this type of parameterization in finding several Pareto-optimal trajectories. Using the non-dominated sorting genetic algorithm with crowding distance sorting (NSGA-II) for the resulting multiobjective optimization problem, several trajectories are discovered. The resulting trajectories of the presented scheme permit alternative trade-off studies by designers incorporating higher level information and mission priorities.     

一种基于历史数据的软件缺陷预测方法改进

捕获-重捕获方法常用于评审会后对产品残留缺陷数的估计.使用均方误差对几种基于捕获-重捕获模型的估计器性能进行评估.然后提出一种基于历史数据的估计器改进方法,并对改进前后估计器的缺陷预测效果进行对比分析.      

空间机器人深度学习识别捕获部位的应用探讨

针对空间机器人对捕获部位识别方法的普适性、实时性和准确性等要求，提出了采用深度学习方法对空间机器人捕获目标的特征部位进行识别。通过比较分析方法、数据驱动方法等传统识别方法和深度学习方法的优缺点，发现深度学习方法对于解决空间机器人捕获部位识别问题具有显著优势。进一步分析了应用深度学习方法解决捕获部位识别问题的几个关键技术问题，为后续空间机器人在轨捕获目标的研究与实践提供了新的思路。