新一代歼击机超机动飞行的动态逆控制

 根据反馈线性化理论, 讨论了神经网络自适应非线性动态逆控制设计。首先根据时标分离原则, 采用动态逆方法设计快回路和慢回路控制器; 其次提出基于模型逆的神经网络非线性直接自适应控制方案, 设计一种在线神经网络用于补偿模型逆误差。仿真表明, 该控制方案具有较好的自适应能力和鲁棒性。     

Space weather: its effects and predictability

Terrestrial technology is now, and increasingly, sensitive to space weather. Most space weather is caused by solar storms and the resulting changes to the Earth's radiation environment and the magnetosphere. The Sun as the driver of space weather is under intense observation but remains to be adequately modelled. Recent spacecraft measurements are greatly improving models of solar activity, the interaction of the solar wind with the magnetosphere, and models of the radiation belts. In-situ data updates the basic magnetospheric model to provide specific details of high-energy electron flux at satellite orbits. Shock wave effects at the magnetopause can also be coarsely predicted. However, the specific geomagnetic effects at ground level depend on the calculation of magnetic and electric fields and further improvements are needed. New work on physical models is showing promise of raising geomagnetic and ionospheric predictability above the synoptic climatological level. This revised version was published online in August 2006 with corrections to the Cover Date.     

Real-Time Specifications of the Geospace Environment

We report the recent progress in our joint program of real-time mapping of ionospheric electric fields and currents and field-aligned currents through the Geospace Environment Data Analysis System (GEDAS) at the Solar-Terrestrial Environment Laboratory and similar computer systems in the world. Data from individual ground magnetometers as well as from the solar wind are collected by these systems and are used as input for the KRM and AMIE magnetogram-inversion algorithms, which calculate the two-dimensional distribution of the ionospheric parameters. One of the goals of this program is to specify the solar-terrestrial environment in terms of ionospheric processes, providing the scientific community with more than what geomagnetic activity indices and statistical models provide. This revised version was published online in August 2006 with corrections to the Cover Date.     

Modelling of the electromagnetic field in the interplanetary space and in the Earth's magnetosphere

A magnetohydrodynamic model of the solar wind flow is constructed using a kinematic approach. It is shown that a phenomenological conductivity of the solar wind plasma plays a key role in the forming of the interplanetary magnetic field (IMF) component normal to the ecliptic plane. This component is mostly important for the magnetospheric dynamics which is controlled by the solar wind electric field. A simple analytical solution for the problem of the solar wind flow past the magnetosphere is presented. In this approach the magnetopause and the Earth's bow shock are approximated by the paraboloids of revolution. Superposition of the effects of the bulk solar wind plasma motion and the magnetic field diffusion results in an incomplete screening of the IMF by the magnetopause. It is shown that the normal to the magnetopause component of the solar wind magnetic field and the tangential component of the electric field penetrated into the magnetosphere are determined by the quarter square of the magnetic Reynolds number. In final, a dynamic model of the magnetospheric magnetic field is constructed. This model can describe the magnetosphere in the course of the severe magnetic storm. The conditions under which the magnetospheric magnetic flux structure is unstable and can drive the magnetospheric substorm are discussed. The model calculations are compared with the observational data for September 24–26, 1998 magnetic storm (Dst _min=−205 nT) and substorm occurred at 02:30 UT on January 10, 1997. This revised version was published online in August 2006 with corrections to the Cover Date.     

AR模型在时间序列误差分析中的应用

为检测某火控系统的性能,采用统计量分析和AR模型预测相结合来对火控系统实时解算的数据进行分析的一种方法。根据分析结果可以看出,距离误差和航向误差是两种不同类型的误差,距离误差主要是由随机的量测误差构成的,而航向误差主要是系统误差。     

基于联系数系统态势排序的目标威胁综合评估

对防空导弹将要拦截的目标进行威胁程度评估,通常是先分析影响目标威胁程度的因素,并赋予各因素权重,计算各因素在某时刻的状态值并规范化,再通过加权求和综合合成; 根据合成结果对多个目标的威胁程度作出排序,求出威胁程度最大的目标。文章阐明了采用以上的加权求和计算有时会失效,指出失效的主要原因来自加权求和模型自身,可改用基于联系数系统态势排序的目标威胁综合评估解决这一问题。     

三维四向编织复合材料基本性能的有限元模拟

依据三维四向编织复合材料的结构特点,建立了能真实反映其空间构型的"双纽线"单元体胞模型,并以此为基础,采用有限元方法对C／SiC三维四向编织复合材料的基本性能参数进行了数值模拟,获得了该材料在制备冷却阶段的热变形行为以及残余应力和残余应变的分布状况,同时获得了制备后室温条件下该材料的等效弹性模量与等效热膨胀系数值。     

带矢量喷管的涡扇发动机动态过程研究

建立带矢量喷管的涡扇发动机动态数学模型。研究了矢量喷管偏转角和偏转角速度对涡扇发动机工作的影响。研究结果表明 ,不同的矢量喷管偏转角速度对发动机涡轮前燃气温度会产生不同温度峰值 ,而且温度峰值随矢量偏转角速度增大而增大。而在一定的不同矢量角作用下 ,发动机的阶跃响应过程调节参数无明显变化      

液体火箭发动机试验台贮箱增压系统模块化仿真

采用一维理想气体流动的有限元状态变量模型,运用模块化建模与仿真方法和Fortran90语言进行了某液体火箭发动机试验台贮箱增压系统工作过程的仿真,获得了细致的管网状态参数分布曲线,为分析贮箱增压系统的工作过程及各组件的作用提供了数值依据。数学模型和模块化建模与仿真方法显示出较好的有效性和通用性。      

来流含水对航空发动机风扇/压气机特性的影响

结合大小水滴模型和由大量试验数据得到的损失和落后角模型,采用两相流理论与数值模拟的手段,在来流含水的状态下计算了某型发动机压缩系统的特性;分别研究了来流含水量、水滴尺寸等对压气机性能的影响。结果表明:进口气流中水的含量以及它存在形式均对压缩系统性能有不可忽视的影响,同时也验证了本文方法有效性和应用价值。