超参数自适应的MOEA/D-DE算法在翼型气动隐身优化中的应用

MOEA/D-DE 算法易于实现，被广泛应用于处理多目标优化问题，但其超参数CR 和F 对算法性能影响较大。基于MOEA/D-DE 算法框架、利用Sobol 全局灵敏性分析方法对差分进化算子中的交叉控制参数CR进行改进，使用莱维飞行策略控制比例因子F，使算法中的超参数拥有自适应能力，得到超参数自适应的MOEA/D-DE 算法——MOEA/D-DEAH 算法；对MOEA/D-DEAH 算法、不同超参数设置的MOEA/D-DE算法和NSGAII 算法进行函数测试和翼型气动隐身优化算例对比。结果表明：MOEA/D-DEAH 算法性能良好，具有较强的鲁棒性，气动隐身优化效果也比其他算法更好。     

焊接接头典型缺陷的数字X射线尺寸测量技术

为了准确测量焊接接头典型缺陷的尺寸,提出了一种基于半波高法(HWH)的焊接接头缺陷数字射线尺寸测量技术。首先,分析了数字射线检测系统的调制传递函数(MTF),确定了检测系统的空间分辨率。其次,对焊接接头的典型缺陷进行模拟,通过半波高法测量其尺寸。结果表明:依据瑞利判据,运用双丝像质计测定该检测系统的空间分辨率为4.5 Lp/mm;运用该方法测量焊接接头缺陷尺寸,与实际尺寸基本相符,误差小于6.3%,该方法避免了人为因素的影响,精度可满足日常产品的检测需求。     

一种基于Sobel算子的星敏感器星图预处理方法

星敏感器在太空环境下工作时容易受到杂散光的干扰,对星图进行二值化后直接采用质心法难以从星图中提取恒星星像坐标.针对上述问题,提出了一种基于Sobel算子的星敏感器星图预处理方法,用于提取星像坐标.首先采用Sobel算子计算星图中所有像素的梯度,保留所有大于阈值的像素梯度作为新的星图,然后以新的星图作为样板通过质心法从原始星图中提取恒星星像.由于杂散光干扰信号在星图中表现为缓慢信号,这些信号计算的梯度很小,因此通过Sobel算子计算后新的星图只有恒星星像.该方法能够消除星图中的杂散光干扰信号,使星图中只保留恒星星像信息,提高恒星星像坐标提取精度,具有较好的鲁棒性.     

捷联惯组空间八点减振IMU组合设计CSCD

为了研究捷联惯组空间八点减振IMU组合的力学性能及其在抑制线角耦合方面的作用,采用NX三维建模及ANSYS仿真分析工具对IMU组合的刚度、减振器的线角频率、减振性能方面进行了充分的理论验证。同时,推导出平衡机的调平原理,通过调平使IMU弹性中心与质心重合,然后对惯组进行振动试验,观察其减振性能及三向陀螺角速度输出值。结果表明,经理论分析该IMU组合模态为875.7Hz,具备足够的刚度;减振器线角频率差值在50Hz以上,具有较高的离散度。经试验验证,该IMU组合调平小于0.1mm时,减振效率不低于42%,三向陀螺角速度输出不大于11(°)/s,具有较好的力学环境适应性与极高的角速度输出特性。     

POBI interpolation algorithm for CYGNSS near real time flood detection research: A case study of extreme precipitation events in Henan,China in 2021

In late 2016, NASA launched the first constellation of the global navigation satellite system reflectometry (GNSS-R) small satellites called the Cyclone Global Navigation Satellite System (CYGNSS). The stable data quality and continuous free availability of CYGNSS scientific data provided a new method for flood monitoring. However, owing to the pseudorandom distribution of CYGNSS data, researchers must always choose between high temporal resolution and high spatial resolution during the performance of flood monitoring based on CYGNSS data. For floods caused by extreme precipitation with sudden and short durations, the current flood mapping based on CYGNSS data cannot be updated in near real time. However, the near real time update of the flood distribution range is meaningful for postdisaster emergency response and rapid rescue. This study aimed to address this problem using a newly proposed spatial interpolation method based on previously observed behaviour (POBI). First, a method for calculating the surface reflectivity of the CYGNSS was introduced, followed by the principle of the POBI spatial interpolation method. The applicability of the POBI method in Henan Province, China, was then analysed, and by using the flood in Henan Province, China, in July 2021 as an example, the feasibility of CYGNSS near real time flood mapping based on the POBI method was evaluated. Based on the results, near real time and 3 km flood distribution monitoring results can be obtained using the proposed new method. The results were evaluated using MODIS (Moderate Resolution Imaging Spectroradiometer) images and compared with the observations of SMAP (Soil Moisture Active Passive) and GPM (Global Precipitation Measurement) in the same period. The results show that the flooded areas obtained by CYGNSS correspond to the inundated areas in MODIS images and are also in high agreement with the SMAP. In addition, CYGNSS allows for finer mapping and quantification of inundation areas and flood duration. Moreover, we also discussed the potential of CYGNSS to detect floods in shorter periods of time (a few hours) and did a preliminary evaluation using precipitation data from meteorological stations. The results are also highly consistent.     

地面放射性测量模型γ剂量率值空间分布规律研究

地面模型是根据IAEA174号报告研建的用于校准便携式γ能谱仪、γ辐射仪的计量标准装置，最初主要用于地质勘查。2016年至2018年，新研建了钾含量30 %（YK3）和铀含量1 %（YU4）的两个模型，并确定了模型量值。远离模型表面中心位置的剂量率较低，随着中心点的接近，剂量率逐渐上升，YK3和YU4的剂量率坪区分别为模型中心点及周围半径约40 cm和50 cm范围内，在坪区内剂量率变化均不大于0.6 %；在参考点3.0 cm上的剂量率分别为320.8 nGy·h^-1和4.3×10⁴ nGy·h^-1；超过3.0 cm时，剂量率随高度呈非线性变化；根据不同高度上的理论计算和实测结果比对，在40 cm高度实测范围以内，YK3实测结果与理论计算结果相对偏差在3 %范围以内，120 cm高度实测范围内，YU4实测结果与理论计算结果相对偏差在2 %范围以内。     

未知纬度条件下基于空间圆拟合的SINS初始对准方法

传统的捷联惯导系统(SINS)晃动基座初始对准算法,如积分双矢量方法和多矢量Wahba方法等均需要精确的纬度信息,粗对准偏航角误差较大.针对此特点,提出了一种未知纬度条件下基于空间圆拟合的SINS初始对准方法.根据重力矢量在惯性系中绕地轴旋转包含北向信息的特征,以初始时刻凝固载体坐标系作为惯性系,首先对重力矢量在凝固载体系内进行投影并滤波,对其矢量端点进行空间圆拟合,然后通过三角几何关系得到导航坐标系,从而完成对准过程.通过仿真验证,证实了该对准方法不需要已知对准点的精确位置信息,相比于积分双矢量方法与多矢量Wahba方法,偏航角对准精度分别提高了12.37'与5.10'.