载人飞船返回舱的烧蚀防热

载人飞船返回舱的烧蚀热防护技术研究和试验表明，碳化烧蚀材料是再入飞行器最有效的热防护层。对典型的碳化烧蚀体的热性能的预测分析模型和计算方法作了阐述。数值计算结果分别与电弧风洞试验和阿波罗的飞行验证试验作了比较，结果符合得很好。     

穿透式冷板的传热分析

对航空电子设备上采用的空心冷板冷却系统的传热特性进行了分析求解，得到了空心冷板稳态温度分布表达工和功率－温度－流量关系式，可作为空心冷板系统的设计依据，建立了空心冷板失效的动态温度模型，得到的温度－时间响应特性可用于评估冷板系统耐热冲击性能。     

Dayside reconnection during IMF northward: A possible foreshock effect

The northward and southward orientation of the interplanetary magnetic field (IMF) is usually considered as providing the external boundary conditions in the solar wind interaction with the Earth's magnetopause but it is the magnetic field in the magnetosheath that interacts with the Earth's magnetic field. In this paper, we consider the possibility that the wave activity in the foreshock region may affect the magnetic field orientation in the magnetosheath with time scales that might be geomagnetically effective. If magnetosheath magnetic field becomes disturbed on plasma streamlines which are connected to the quasi-parallel bow shock and foreshock, the magnetic field orientation on the inner magnetosheath may differ significantly from the undisturbed IMF. We present a model of dayside reconnection which may occur when the IMF northward and illustrate its effects on the erosion of the magnetopause.     

应用分力合成方法提高系统性能指标的研究

提出了将柔性结构的分力合成主动振动抑制方法和反馈控制律结合使用来提高柔性结构控制系统性能指标的方法。应用该方法仅需要知道闭环系统及柔性振动的频率及阻尼，而且可以同时抑制任意多个振动模态（包括控制器引起的振动，柔性振动及其他形式的振动），分力合成方法对频率及阻尼的不确定性具有较强的鲁棒性，使该方法易于工程实现，文章针对单柔性杆，将分力合成主动振动抑制方法和反馈控制相结合，设计了不同形式的大角度机动控制律，数值仿真和试验结果充分验证了方法的有效性。     

推力矢量和二元喷管

推力矢量是第四代战斗机获得过失速机动性的必要条件,而二元喷管又是推力矢量控制中性能较为优越的一类喷管。本文较全面地阐述了目前世界上推力矢量和二元喷管的发展和现况、二元喷管的构造和性能、二元喷管对改进飞机升阻特性和机动的作用。推力矢量能显著提高飞机在空战中的作战效率以及推力矢量控制所需的效能也在文中作了介绍。     

同无黑子耀斑相协的微波爆发机制的探讨

1980—1984年期间,我们在云南天文台9375MHz,3653MHz和2902 HHz三个波段的射电观测资料中,查到11组微波爆发与无黑子耀斑相伴随。本文研究了这些爆发与耀斑的大气层高度,射电爆发类型以及通过落进峰值流量-时间图的位置,确认出爆发机制是活动区中作麦克斯韦分布电子的热轫致辐射。     

Mo M-PO/SBR Algorithm Based on Collaborative Platform and Mixed Model

For electromagnetic scattering of 3-D complex electrically large conducting targets,a new hybrid algorithm,Mo M-PO/SBR algorithm,is presented to realize the interaction of information between method of moment(Mo M)and physical optics(PO)/shooting and bouncing ray(SBR). In the algorithm,the COC file that based on the Huygens equivalent principle is introduced,and the conversion interface between the equivalent surface and the target is established. And then,the multi-task flow model presented in this paper is adopted to conduct CPU/graphics processing unit(GPU)tests of the algorithm under three modes,i.e.,MPI/Open MP,MPI/compute unified device architecture(CUDA) and multi-task programming model(MTPM). Numerical results are presented and compared with reference solutions in order to illustrate the accuracy and the efficiency of the proposed algorithm.     

An Improved Nonlinear Dynamic Inversion Method for Altitude and Attitude Control of Nano Quad-Rotors under Persistent Uncertainties

Nonlinear dynamic inversion(NDI)has been applied to the control law design of quad-rotors mainly thanks to its good robustness and simplicity of parameter tuning.However,the weakness of relying on accurate model greatly restrains its application on quad-rotors,especially nano quad-rotors(NQRs).NQRs are easy to be influenced by uncertainties such as model uncertainties(mainly from complicated aerodynamic interferences,strong coupling in roll-pitch-yaw channels and inaccurate aerodynamic prediction of rotors)and external uncertainties(mainly from winds or gusts),particularly persistent ones.Therefore,developing accurate model for altitude and attitude control of NQRs is difficult.To solve this problem,in this paper,an improved nonlinear dynamic inversion(INDI)method is developed,which can reject the above-mentioned uncertainties by estimating them and then counteracting in real time using linear extended state observer(LESO).Comparison with the traditional NDI(TNDI)method was carried out numerically,and the results show that,in coping with persistent uncertainties,the INDI-based method presents significant superiority.     

High temporal resolution global PWV dataset of 2005–2016 by using a neural network approach to determine the mean temperature of the atmosphere

Atmospheric water vapour plays an important role in phenomena related to the global hydrologic cycle and climate change. However, the rapid temporal–spatial variation in global tropospheric water vapour has not been well investigated due to a lack of long-term, high-temporal-resolution precipitable water vapour (PWV). Accordingly, this study generates an hourly PWV dataset for 272 ground-based International Global Navigation Satellite System (GNSS) Service (IGS) stations over the period of 2005–2016 using the zenith troposphere delay (ZTD) derived from global-scale GNSS observation. The root mean square (RMS) of the hourly ZTD obtained from the IGS tropospheric product is approximately 4 mm. A fifth-generation reanalysis dataset of the European Centre for Medium-range Weather Forecasting (ECMWF ERA5) is used to obtain hourly surface temperature (T) and pressure (P), which are first validated with GNSS synoptic station data and radiosonde data, respectively. Then, T and P are used to calculate the water vapour-weighted atmospheric mean temperature (Tm) and zenith hydrostatic delay (ZHD), respectively. T and P at the GNSS stations are obtained via an interpolation in the horizontal and vertical directions using the grid-based ERA5 reanalysis dataset. Here, Tm is calculated using a neural network model, whereas ZHD is obtained using an empirical Saastamoinen model. The RMS values of T and P at the collocated 693 radiosonde stations are 1.6 K and 3.1 hPa, respectively. Therefore, the theoretical error of PWV caused by the errors in ZTD, T and P is on the order of approximately 2.1 mm. A practical comparison experiment is performed using 97 collocated radiosonde stations and 23 GNSS stations equipped with meteorological sensors. The RMS and bias of the hourly PWV dataset are 2.87/?0.16 and 2.45/0.55 mm, respectively, when compared with radiosonde and GNSS stations equipped with meteorological sensors. Additionally, preliminary analysis of the hourly PWV dataset during the EI Niño event of 2014–2016 further indicates the capability of monitoring the daily changes in atmospheric water vapour. This finding is interesting and significant for further climate research.