Effect of the continental shelf in seasonal oceanographic conditions at the Northern edge of the Eastern Tropical Pacific

The continental shelf in front of Nayarit is located in the northern limit of the tropical Eastern Pacific, characterized by constituting a convergence zone of different masses of water, forming an area of significant hydrographic variability. Based on satellite remote sensing data and reanalysis between 2003 and 2019 of sea surface temperature (SST), wind stress, Ekman velocity, and geostrophic velocity, the contribution of the seasonal cycle to the variability of the study area were analyzed through climatological means, Hovmöhler diagrams, and Empirical Orthogonal Functions. The results show that in the zone in front of Matanchén Bay (21.5 °N) and the adjacent continental shelf, there is a core of warm surface water. The distribution of the SST is explained by the seasonal pattern of meridional/zonal variability in the thermal gradient, where the EOFs show the influence of the annual scale in both modes, with the only difference being that the first describes the meridional gradient as the dominant signal (66.2%), and the second shows the zonal behavior of the thermal gradient (16.6%). The summer weakening of the wind stress and Ekman speed is the product of the irregular shape of the coastline, the extension of the continental shelf, and the divergence of the North American monsoon around 21°N, whereas during the rest of the year an intensification of these parameters prevailed in front of Cabo Corrientes. On the other hand, the intense geostrophic flow in summer does not contribute to the increase in SST on the continental shelf because it diverges around 22.5°N. Likewise, during the winter, the formation of a cyclonic geostrophic gyre located inside the continental shelf, between the coast and the Marías Islands, stands out.     

无塌陷型面出流及输送管内推进剂利用技术研究

针对火箭通用芯级氧箱的共底贮箱结构，通过理论分析及数值仿真，提出了“无塌陷型面+消漩叶片”的出流方案，并通过优化型面起始点半径，确保出流过程中不产生明显的液面塌陷。仿真及缩比试验结果表明，相比传统的“圆盘+倒锥”出流方案，贮箱推进剂在无塌陷型面出流方案下的出流过程中，没有明显的气液掺混或漩涡夹气现象，贮箱内推进剂可得到充分利用。在此基础上，利用Wallis两相漂移模型对输送管内两相介质传播速度进行了理论研究，并结合出流过程中气泡运动速度的试验结果，提出了输送管内推进剂的可用量准则。     

基于联邦滤波的多传感器管道定位方法CSCD

由低成本微惯性测量单元(MIMU)和里程轮组合的管道定位系统在里程轮出现打滑情况下,组合定位误差将快速发散。为解决里程轮打滑时量测信息失效的问题,采用光电测速传感器作为冗余测速传感器,利用联邦滤波对MIMU、里程轮和光电测速传感器多源信息进行融合,并基于预测残差设计了自适应信息分配因子,实现了不同特性传感器的最优融合。仿真实验结果表明,提出的多传感器管道定位方法可以降低里程轮打滑导致的管道定位误差,对于120m长的仿真管道,定位误差为管线长度的0.015%。     

水下航行体舵板张开特性研究与分析

在对流固耦合仿真计算方法分析的基础上,建立起水下航行体舵板张开过程的仿真计算模型,采用该模型 对舵板张开过程的角速度、载荷以及响应等变化规律进行了研究。在水下航行体发射试验中,对舵板张开角度、舵 板应变等参数进行了测试,对测试获取的数据与仿真结果进行了对比分析,研究表明二者一致性较好,能够为水下 航行体的水弹道分析和舵板的结构设计、材料选择等提供指导。     

一种提高GNSS测速精度的自适应Kalman滤波算法

在卫星导航系统动态定位中,采用基于瞬时多普勒观测量的最小二乘法确定速度,当载体高机动时,多普勒误差迅速增大,从而导致测速精度大幅度降低。针对该问题,提出一种同时实现动态模型自适应修正和观测模型自适应更新的Kalman滤波算法。算法采用滑动窗方式来建立实时更新的动态模型参数,使当前统计模型自适应地跟踪载体的动态特性。此外,算法提出观测模型的自适应更新方法,通过设置载体状态判决门限,高、中机动时仅进行受动态应力影响小的伪距更新,低机动下添加精度较高的伪距率更新。通过Sprient GSS8000模拟器产生的动态场景验证表明,相对于最小二乘法和常规Kalman滤波算法,提出的自适应Kalman滤波算法能够全面提高载体在多种运动状态下的测速精度。