The energy release of substorm and magnetic storm: Its present state and future improvements by KuaFu mission

Considering the KuaFu mission, state of the energy release of substorm and storm is simply presented and it’s improvements by KuaFu mission are investigated. The KuaFu mission will provide us an opportunity to improve our understanding of the energy release during the storm and the substorms. The two KuaFu-B satellites flying in 180° phase-lagged formation in a polar orbit will allow synoptic observations of the auroral oval, central plasma sheet, ring current and other regions. It can monitor the polar region 24/7 continuously. The advantage of the KuaFu mission is to provide the data during all phases of storm and substorm time that can be used to study the global energy release during all phases continuously. The data from auroral imager and other in-situ instruments on board KuaFu-B can be used to study the auroral dynamics and Joule heating during a storm and substorm. The data from the neutral atom imager instrument can be used to study the dynamics and the energy release in the ring current region from sudden commencement to complete storm recovery. Furthermore the data from KuaFu-A, which is around L1 point, can be used to study the interplanetary conditions along with the data from the plasma sheet to study the triggering process and energy release during a substorm. So, KuaFu mission with its continuous time monitoring facilities would enable us to make much progress towards solving the underlying problems.     

1993年9月12—14日磁暴期间磁层—电离层耦合分析

采用具有明确物理意义的多个地磁指数，以及地面台站链观测的地磁和电离层参数，对一次典型磁暴期内从极光区到赤道附近电离层电流、电场演化发展的耦合过程作了具体分析．结果表明，地磁指数和观测参数能较好地说明磁层－电离层耦合理论结果的主要特征．     

空间站对日定向装置半物理试验台关键技术

为有效模拟空间站对日定向装置驱动性能受柔性太阳翼的扰动,验证对日定向装置驱动控制性能,采用半物理试验技术对对日定向装置进行地面试验考核。设计超高刚度及运动误差无附加力自适应的半物理试验台,对支撑连接机构和加载单元进行有限元分析与刚度测试;建立大尺度柔性太阳翼的动力学模型,并采用Wilson θ法进行动力学模型的实时数值求解;运用跟踪微分法对对日定向装置低速运行下的角速度和角加速度进行估计;最后通过对半物理试验台的响应精度、加载有效性进行仿真和试验考核,结果表明试验台加载力矩幅值为 0~ 85 Nm、频率为0.01~3 Hz时,绝对精度优于0.85 Nm,相对精度优于1%,从而验证了半物理试验台对太阳翼扰动载荷模拟的真实有效性,可实现对日定向装置的性能测试。     

舰载无人机拦阻着舰中机身冲击响应分析

针对某舰载无人机拦阻着舰过程中的机体强度问题,以其中机身结构为主要研究对象,首次设计了包括中机身结构与前后机身、机翼假件以及拦阻钩等构件的地面拦阻模拟试验方案,并搭建了相应装置,采用地面试验和刚柔耦合仿真模拟2种方法,对拦阻着舰过程中拦阻力冲击下中机身结构的动态响应特性进行了全面分析。试验与仿真结果表明：中机身最大航向过载沿两条主传力路径自后机身到前机身方向衰减,下传递路径点的过载峰值明显大于上传递路径点的峰值;发现最大过载点位于拦阻接头处,应变危险点位于机腹梁前段处;中机身结构上各测点的试验和仿真过载误差均在5%以内,应变误差均在8%以内,验证了试验结果的有效性和刚柔耦合数值仿真方法的可行性。地面拦阻试验及数值仿真的联合分析可为舰载无人机机身结构强度设计提供重要参考,并为后续舰载无人机的拦阻着舰分析以及机身结构响应预测提供依据。     

Online condition diagnosis for a two-stage gearbox machinery of an aerospace utilization system using an ensemble multi-fault features indexing approach

China manned space station is designed to operate for over ten years. Long-term and sustainable research on space science and technology will be conducted during its operation. The application payloads must meet the ‘‘long life and high reliability" mission requirement. Gearbox machinery is one of the essential devices in an aerospace utilization system, failure of which may lead to downtime loss even during some disastrous catastrophes. A fault diagnosis of gearbox has attracted attentions for its significance in preventing catastrophic accidents and guaranteeing sufficient maintenance. A novel fault diagnosis method based on the Ensemble Multi-Fault Features Indexing(EMFFI) approach is proposed for the condition monitoring of gearboxes. Different from traditional methods of signal analysis in the one-dimensional space, this study employs a supervised learning method to determine the faults of a gearbox in a two-dimensional space using the classification model established by training the features extracted automatically from diagnostic vibration signals captured. The proposed method mainly includes the following steps. First, the vibration signals are transformed into a bi-spectrum contour map utilizing bi-spectrum technology,which provides a basis for the following image-based feature extraction. Then, Speeded-Up Robustness Feature(SURF) is applied to automatically extract the image feature points of the bi-spectrum contour map using a multi-fault features indexing theory, and the feature dimension is reduced by Linear Discriminant Analysis(LDA). Finally, Random Forest(RF) is introduced to identify the fault types of the gearbox. The test results verify that the proposed method based on the multi-fault features indexing approach achieves the target of high diagnostic accuracy and can serve as a highly effective technique to discover faults in a gearbox machinery such as a two-stage one.     

两种激光烧蚀微推力器工作模式的讨论

激光烧蚀微推力器技术是激光推进技术最有可能率先实现工程应用的技术研究方向。作为一种新型的空间推进领域电推进推力器技术,以其系统集成度较高、电功耗较低、冲量元精准等优势特性,在推进性能和系统集成等方面形成鲜明的特色,对于多种空间推进任务具备潜在的应用价值。以激光烧蚀微推力器发展历程为背景,总结提炼当前推力器技术发展趋势,提出了激光烧蚀微推力器目前最具研究价值的两种工作模式,分别对高低比冲两种不同工作模式进行了性能分析和比对,对激光烧蚀微推力器应用前景进行了展望,最后给出了进一步研究的建议。     

低速流场中柔性悬臂板的后颤振响应

建立了一个新的非线性气动弹性模型,对低速流场中柔性悬臂板的后颤振响应特性进行了分析。建模中考虑了结构几何非线性、气动力非线性以及两者之间的强耦合效应。通过实验数据对所建立的气动弹性模型进行了验证。发现在低速流场中柔性悬臂板可能会以周期加倍的方式进入混沌运动。结构几何非线性效应和翼尖涡引起的非定常气动力效应对柔性悬臂板的结构响应有显著影响,而尾涡变形引起的非定常气动力对结构运动的影响较小。还研究了不同耦合算法的差异,给出了小展弦比大柔性结构非线性气动弹性数值仿真时耦合策略的选择依据。     

航空武器质量检验样本容量确定算法

利用数理统计的假设检验理论对航空武器质量检验样本容量确定方法进行了研究.提出了基于施行特征函数的航空武器质量检验样本容量确定算法.算法利用航空武器质量检验施行特征函数的特点,通过控制在原假设实际上不真时,错误接受原假设的概率,对航空武器质量检验样本容量进行确定.与一般产品检验只能控制错误拒绝原假设的概率相比,算法不仅能够控制错误拒绝原假设的概率,而且能够控制错误接受原假设的概率,从而客观反映武器质量的真实状况.     

近程反导舰炮拦截掠海目标供靶需求分析

针对舰炮武器系统设计定性试验供靶飞行速度低、飞行高度降不下来,且小航路捷径供靶实现难度大风险高,因此考核标准低,难以对舰炮武器系统进行有效充分考核等问题,从舰炮武器系统试验靶标供靶的速度、高度、航路捷径等方面分析了影响目标毁伤概率的因素,建立了毁伤概率计算模型。通过实际验算论证了近程反导舰炮拦截掠海导弹类目标时,如果目标速度低、飞行高度高、航路捷径大,对此类目标的毁伤概率将明显增大,导致武器系统考核标准降低。提出了为真实考核武器装备的作战效能,要采用速度高、掠海飞行、航路捷径小的靶弹类目标进行拦截试验,以解决试验的充分性、边界条件问题,实现从严考核之目的。     

电磁屏蔽抗干扰技术研究

从干扰源性质出发,将屏蔽分为电场屏蔽、磁场屏蔽和电磁场屏蔽,并对它们进行了分析研究。针对其特性提出其适用范围及注意事项,从而增强了抗干扰的效果。