基于龙格库塔法的预测闭路制导方法研究

交会飞行器是要求以一定速度与运动目标交会的飞行器.其运载器的制导任务就是将交会飞行器运送到空间某一特定区域并使之达到期望速度矢量.但是由于干扰力的存在,以及实际物理系统对目标导引量的时延性以及各种误差的影响将造成很大的脱靶量.为此,本文给出了预测闭路制导方法.根据运载器的实时飞行状态和目标的运行参数,通过龙格库塔法对命中点进行预测,在此基础上完成需要速度的确定.经数学仿真验证本文的方法具有很高的制导精度.保证了交会飞行器和所要攻击的目标在同一时刻到达同一位置.     

速度对微多普勒的影响及其补偿研究

微多普勒为雷达目标识别提供了一种新的思路和方法,而目标的平动速度会影响微多普勒信息的提取.以锥体目标的进动为例来研究速度对微多普勒的影响,并提出中心法进行等效速度补偿,该方法不是先估计出速度值再对原始信号进行补偿,而是基于原始信号频谱信息进行的一种后处理.仿真结果表明该方法能有效地补偿速度.同时基于速度补偿后的频谱,提出重心法估计微多普勒的调制带宽并与中心法进行了比较,且采用最小二乘法拟合了不同信噪比下的估计误差.估计出的调制带宽可作为一种参数特征用于识别.     

SETI in the light of cosmic convergent evolution

Theodosius Dobzhansky, one of the founding fathers of the modern evolutionary synthesis, once famously stated that “nothing makes sense in biology except in the light of evolution”. Here it will be argued that nothing in astrobiology makes sense except in the light of “Cosmic Convergent Evolution” (CCE). This view of life contends that natural selection is a universal force of nature that leads to the emergence of similarly adapted life forms in analogous planetary biospheres. Although SETI historically preceded the rise of astrobiology that we have witnessed in the recent decade, one of its main tenets from the beginning was the convergence of life on a cosmic scale toward intelligent behavior and subsequent communication via technological means. The question of cultural convergence in terms of symbolic exchange, language and scientific capabilities between advanced interstellar civilizations has been the subject of ongoing debate. However, at the core of the search for extraterrestrial intelligence lies in essence a biological problem since even post-biological extraterrestrial intelligences must have had an origin based on self-replicating biopolymers. Thus, SETI assumes a propensity of the Universe towards biogenesis in accordance with CCE, a new evolutionary concept which posits the multiple emergence of life across the Cosmos. Consequently, we have to wonder about the biophilic properties the Universe apparently exhibits, as well as to try to find an encompassing theory that is able to explain this “fine-tuning” in naturalistic terms. The aims of this paper are as follows: 1) to emphasize the importance of convergent evolution in astrobiology and ongoing SETI research; 2) to introduce novel and biology-centered cosmological ideas such as the “Selfish Biocosm Hypothesis” and the “Evo Devo Universe” as valuable arguments in theorizing about the origin and nature of extraterrestrial intelligence and 3) to synthesize these findings within an emerging post-biological paradigm on which future SETI efforts may be founded.     

湍流边界层相干结构空间拓扑形态的 层析TRPIV测量

用层析TRPIV(time-resolved paticle image velocimetry)技术精细测量了水洞中平板湍流边界层三分量速度的时空序列信号,提出了空间局部平均多尺度速度结构函数的新概念描述湍流多尺度涡结构的空间拉伸、压缩、剪切变形和旋转.用空间局部平均多尺度速度结构函数对湍流脉动速度进行了空间多尺度分解.用空间局部平均多尺度速度结构函数的新概念,根据湍流多尺度涡结构在空间流向的拉伸和压缩特征,提出了新的湍流相干结构条件采样方法,检测并提取了层析TRPIV数据中相干结构的“喷射”和“扫掠”事件中的速度、涡量等物理量的空间拓扑形态.发现在喷射和扫掠事件中均存在一对反向旋转的准流向“马蹄形”涡结构.      

Trajectory Analysis of Fuel Injection into Supersonic Cross Flow Based on Schlieren Method

Trajectory analysis of fuel injection into supersonic cross flow is studied in this paper. A directly-connected wind tunnel is constructed to provide stable supersonic freestream. Based on the test rig, the schlieren system is established to reveal the fuel injection process visually. Subsequently, the method of quantitative schlieren is adopted to obtain data of both fuel/air interface and bow shock with the aid of Photoshop and Origin. Finally, the mechanism based on two influential factors of fuel injection angle and fuel injection driven pressure, is researched by vector analysis. A dimensionless model is deduced and analyzed. The curve fitting result is achieved. The relationship between the data and the two influential factors is established. The results provide not only the quantitative characteristics of the fuel injection in supersonic cross flow but also the valuable reference for the future computational simulation.     

无人机自组网络多媒体数据传输路由算法研究

针对无人机自组网络多媒体数据传输中链路不稳定问题,提出了一种无人机自组网络多媒体数据传输路由算法。该算法在GPSR路由算法基础上,结合无人机多媒体通信的特点,充分考虑了位置、速度、运动方向这三个因素对选择下一跳节点的影响,从而达到同时兼顾三者和提高链路性能的目的。提出的算法具有开销小、可靠性高等优点,有效提高了分组交付率以及降低了平均端到端延迟,从而提高了无人机自组网络多媒体数据传输的性能。     

舰载武器捷联惯导速度匹配传递对准技术研究

速度匹配传递对准受船体变形影响小,对准精度高,是舰载武器常用的传递对准方法之一。模拟实船情况,对速度匹配传递对准性能进行了深入仿真研究。研究结果表明：（1）速度匹配传递对准不易受船体变形影响。（2）舰船航向机动有助于提高速度匹配传递对准性能。舰船在匀速直航状态下,水平姿态角对准精度能达到0.4＇,方位姿态角对准精度2′左右。等效北向陀螺漂移的估计精度能达到80%,等效东向陀螺漂移和加速度计零偏无法估计。舰船在转弯状态下武器惯导各误差量估计精度和估计速度都有所提高,等效东向陀螺漂移和加速度计零偏能够估计出来,估计精度达90%以上。（3）基准信息阶跃变化会干扰速度匹配传递对准性能,引起姿态角估计误差。     

抑制俯仰Ⅱ型PIO的四种滤波器性能比较

FWB、DS、DASA、RLF作为4种成熟、有效的非线性滤波器均用于解决以作动器速率饱和为特征的Ⅱ型驾驶员诱发振荡(PIO)相位滞后的问题,从而抑制PIO发生.借助描述函数理论,对各滤波器中非线性环节线性化处理,得到4种滤波器拟线性传递函数和相频特性曲线,研究、比较各滤波器在不同参数、不同输入条件下开环相位补偿能力.针对俯仰PIO问题,选取本机动态特性较差、易发生PIO的纵向飞机模型,构建带速率限制作动器的人机闭环系统,通过3个典型的俯仰飞行仿真任务,从抑制作动器速率饱和能力、俯仰响应特性、相位补偿能力、减轻驾驶员操作负担4个方面全面比较各滤波器性能.实验表明:DASA滤波在抑制PIO、改善飞机俯仰响应特性方面相对较优.实验结果为滤波器设计、俯仰PIO抑制的相关研究提供有益参考.      

纳秒脉冲等离子体气动激励数值仿真

从纳秒脉冲等离子体气动激励对流场的作用机理出发,将其对流场的作用等效为热源对流场的快速加热,建立了纳秒脉冲等离子体气动激励的空气动力学模型.应用模型计算了单次纳秒脉冲等离子体气动激励下静止流场的响应,计算结果表明:纳秒脉冲等离子体气动激励可在静止流场中形成一个高温升压升区(716K,225.95kPa)和一个低温升压升区(380K,131.7kPa),分别可诱导一强一弱两道压缩波,压缩波后各有一道稀疏波.压缩波与稀疏波同速向外传播,传播速度开始较大(大于400m/s),随着逐渐向外传播,其传播速度逐渐减小(357m/s).压缩波经过的区域可诱导局部速度,初期诱导的局部速度较大,在激励器切向和法向可诱导60m/s以上的局部速度,随着压缩波的衰减,诱导局部速度的能力减弱,最大可诱导10m/s左右的局部速度.      

基于运动约束的脉冲雷达游标测距方法

为解决传统脉冲雷达游标测距中解相位模糊和解速度模糊相互耦合的问题,将目标的运动约束与传统游标测距结合在一起,提出了一种新的基于运动约束的游标测距方法.利用运动约束积累一段时间的观测数据进行UKF滤波,得到精度较高的径向速度来解速度模糊,得到的无模糊速度可用于距离游标.利用得到的游标距离取代脉冲测距数据进行UKF预测,可准确估计下一时刻的速度并解速度模糊,这样建立了可同时解相位模糊和解速度模糊的耦合滤波器,成功实现脉冲雷达游标测距,并大大减小脉冲雷达测距随机误差.高速飞行器主动段仿真和脉冲雷达实测数据验证表明,该算法能大大减小径向距离随机误差,将距离随机误差减少一个数量级至分米级.