离散滑模导引律设计

 基于平面内目标-导弹相对运动方程的离散形式,给出了离散滑模变结构导引律设计方法。推导出了一种与连续时间自适应滑模制导律的离散化形式相同的离散变结构导引律。在不需要知道目标法向加速度界限, 而只需要知道其在两个采样周期之间可能变化范围的条件下,设计了一种能显著降低系统抖动的离散滑模导引律,设计的同时给出了一种近似估计目标法向加速度的方法。从理论上证明了上述两种离散滑模导引律具有有限时间收敛的特性。讨论了离散滑模导引律的准滑动模态的切换带范围,给出了离散滑模导引律的终端脱靶量计算方法,最后以某空间拦截问题为实例验证了本文结果的正确性。     

Behavior pattern mining based on spatiotemporal trajectory multidimensional information fusion

Trajectory data mining is widely used in military and civil applications, such as early warning and surveillance system, intelligent traffic system and so on. Through trajectory similarity measurement and clustering, target behavior patterns can be found from massive spatiotemporal trajectory data. In order to mine frequent behaviors of targets from complex historical trajectory data, a behavior pattern mining algorithm based on spatiotemporal trajectory multidimensional information fusion is proposed in this paper. Firstly, spatial–temporal Hausdorff distance is proposed to measure multidimensional information differences of spatiotemporal trajectories, which can distinguish the behaviors with similar location but different course and velocity. On this basis, by combining the idea of k-nearest neighbor and density peak clustering, a new trajectory clustering algorithm is proposed to mine behavior patterns from trajectory data with uneven density distribution. Finally, we implement the proposed algorithm in simulated and radar measured trajectory data respectively. The experimental results show that the proposed algorithm can mine target behavior patterns from different complex application scenarios more quickly and accurately compared to the existing methods, which has a good application prospect in intelligent monitoring tasks.     

空间站新型渐开弧面齿轮传动理论及试验研究

针对因空间站大型对日定向装置传动末端齿轮副尺寸大导致的中心距偏移及倾斜偏差问题，提出具有中心距可分性的新型渐开弧面齿轮，具备中心距补偿能力，有效解决末端齿轮传动中心距偏差问题;依据对末端传动指标要求及约束条件，采用渐开弧面齿轮传动技术对齿轮副进行设计、强度校核及仿真分析;设计并开展等比例方案下多套产品研制及多轮次齿轮副寿命试验研究工作，测试传动效率并观察齿轮齿面状态，以验证新型齿轮传动的中心距补偿能力及可行性。研究内容为大型传动机构齿轮副方案设计奠定基础，并为新型渐开弧面齿轮的研制提供参考。     

Oblique shock train motion based on schlieren image processing

In this paper, shock train motion in a Mach number 2.7 duct is studied experimentally, and large numbers of schlieren images are obtained by a high-speed camera. An image processing method based on Maximum Correlation Detection (MCD) is proposed to detect shock train motion from the schlieren images, based on which the key structures, e.g., separation positions and separation shock angles on the top and bottom walls, can be analysed in detail. The oscillations of the shock train are generated by rhombus and ellipse shafts at various excitation frequencies. According to the analysis of MCD results, the distributions of the frequency components of shock train oscillation generated by the two shafts are distinctly different, in which the motion generated by the ellipse shaft is much smoother; shock train motion is mainly characterized by the oscillation of separation position while the separation shock strength is not so sensitive to downstream disturbance; there is a hysteresis loop relation between the downstream pressure and separation position.     

基于空袭目标特性的相遇点斜距模型

通过构建相遇点斜距模型,探索了防空导弹武器系统对空袭目标的杀伤区远界和近界。以雷达的最大作用距离作为限制条件模拟防空导弹武器系统的射击过程,构建了首次相遇点斜距模型;在对杀伤空域进行一系列假设和对杀伤区低近界进行分析的基础上,考虑飞机所携带武器射程的条件下分4种情况构建了末次相遇点斜距模型。仿真结果表明,首次与末次相遇点斜距可以较好的模拟防空导弹武器系统对空袭目标的杀伤区远界和近界。     

Enhancement on parallel unstructured overset grid method for complex aerospace engineering applications

In the present study, an efficient overset grid method by means of parallel implicit hole-cutting is proposed for the sake of simulating unsteady flows in aerospace engineering involving multiple bodies in relative movement. In view of the degraded computational efficiency and robustness for conventional overset grid assembly, several innovative techniques are developed within the overset grid assembly process, viz., a bookkeeping alternative digital tree method to speed up the donor-cell search...     

Detection of surface temperature anomaly of the Sea of Marmara

Monitoring sea surface temperature (SST) over a long-term and detecting the anomalies highly contribute to understanding the prevailing water quality of the sea. Earth observation satellite images are the key data sources that offer the long-term SST detection in a cost and time effective way. Since the Sea of Marmara in Türkiye is surrounded by the highly populated provinces, the water quality of the sea has gained importance for scientific and public communities over the years. This article emphasizes on the significance of detecting SST trend and corresponding anomalies of the Sea of Marmara over the past 32 years. To address the SST variations of the Sea of Marmara in time, a comprehensive set of both field and satellite data regarding SSTs were obtained within the context of this study. The SST trend and its anomalies between the years 1990 and 2021 were detected by applying Seasonal-Trend decomposition procedure based on LOESS (STL) method to NOAA OISST V2 data. On the other hand, spatial SST distribution was detected with Landsat-8, Sentinel-3 and NOAA OISST V2 satellite data. SST results were verified with the in-situ data within the scope of accuracy assessment. The results showed that SST time-series data performed an increasing trend and had anomalies mostly during the spring months in the recent years.     

考虑弹体柔性振荡的全捷联导引头制导信息提取

随着拦截导弹弹体长细比的增加和直接侧向力的作用，拦截导弹上全捷联导引头量测信息严重受到弹体弹性振荡和控制力矩激励的影响，从而造成导弹制导精度的下降。针对现有惯导安装在弹体质心附近的振荡波腹处无法敏感导引头振荡的不足，提出了一种在导引头安装微机电陀螺器件测量振荡角速率，构造差分观测量的新状态模型，通过交互式多模型的容积卡尔曼滤波算法实现对视线角速度的解耦和精确提取。通过构建导弹六自由度制导与控制仿真模型，采用蒙特卡洛打靶仿真验证了算法的有效性。仿真结果表明模型重构后的滤波算法可以将弹体振荡的均方根误差压缩到0.5°以内并有效跟踪弹目视线角速率。     

Mahalanobis distance-based fading cubature Kalman filter with augmented mechanism for hypersonic vehicle INS/CNS autonomous integration

Inertial Navigation System/Celestial Navigation System(INS/CNS) integration, especially for the tightly-coupled mode, provides a promising autonomous tactics for Hypersonic Vehicle(HV) in military demands. However, INS/CNS integration is a challenging research task due to its special characteristics such as strong nonlinearity, non-additive noise and dynamic complexity.This paper presents a novel nonlinear filtering method for INS/CNS integration by adopting the emerging Cubature Kalman Filter(C...     

一种基于多基线载波相位差测量的欺骗干扰检测方法

由于卫星导航信号到达地面的信号功率较低,且民用部分信息公开,极易受到欺骗干扰信号的影响,从而导致接收机解算出错误的位置、速度或时间.针对传统的欺骗干扰检测与抑制方法不能对欺骗干扰进行测向的问题,提出了一种基于阵列多天线接收信号的载波相位差进行欺骗信号检测与抑制的方法.该方法能够在缺少先验知识的条件下,借鉴相关干涉仪测向...