变换域通信系统及其关键技术

变换域通信系统通过信道估计在变换域设计信号波形避开干扰,它没有采用载波调制,而是用一个类似噪声的基函数进行信息调制。论述了变换域通信系统的基本概念,对变换域通信系统的关键技术——环境干扰估计与检测、基函数序列与波形设计、调制解调与高速率数据传输进行了分析,最后指出了其应用前景。     

三维动态非结构重叠网格Navier-Stokes方程并行算法

 提出了一种三维动态非结构重叠网格Navier-Stokes(N-S)方程的并行计算方法。N-S方程的空间离散采用格点有限体积方法,时间离散采用隐式的双时间步长方法。应用一方程Spalart-Allmaras(S-A)模型来计算湍流黏性。并行计算采用动态的区域分裂方法,在每一物理时间步利用METIS网格分区系统对网格进行分区。为了实现各CPU之间的负载均衡,每块网格都按CPU个数进行分区并对活动节点和非活动节点进行了加权处理。最后,通过对外挂物投放无黏流动的数值模拟和内埋武器弹舱开启黏性流动的数值模拟,验证了该并行程序的准确性、高性能并行计算以及处理复杂几何外形的能力。     

基于截断最小二乘和半正定规划的空间非合作目标相对位姿估计

面向空间在轨服务和碎片清除的重大应用需求,围绕空间光场复杂、空间目标尺度变化及相对姿态与位置强耦合等难题,提出了一种基于截断最小二乘与半正定规划的空间非合作目标相对位姿估计方法。基于TOF相机,首先进行体素下采样,提取快速点特征直方图(FPFH)特征,考虑目标的局部几何结构尺寸,计算两组FPFH特征的相似度并预测特征之间的对应关系,采用截断最小二乘和半正定规划方法对姿态和位置进行解耦,实现了空间非合作目标的相对位姿估计。使用非合作目标的3D模型进行仿真验证,仿真结果表明：该方法在三种不同高斯噪声强度下具有较好的估计特性,为后续的工程应用及在轨任务实施提供了理论与技术支撑。     

High precision dynamic model and control considering J2 perturbation for spacecraft hovering in low orbit

For spacecraft hovering in low orbit, a high precision spacecraft relative dynamics model without any simplification and considering J₂ perturbation is established in this paper. Using the derived model, open-loop control and closed-loop control are proposed respectively. Gauss's variation equations and the coordinate transformation method are combined to deal with the relative J₂ perturbation between the two spacecraft. The sliding mode controller is adopted as the closed-loop controller for spacecraft hovering. To improve the control accuracy, the relative J₂ perturbation is regarded as a known parameter term in the closed-loop controller. The external uncertainty perturbations except J₂ perturbation are estimated by numerical difference method, and the boundary layer method is used to weaken the impact of chattering on the sliding mode controller. The open-loop control of spacecraft hovering with the relative J₂ perturbation and without the relative J₂ perturbation are simulated and compared, and the results prove that the accuracy of open-loop control with relative J₂ perturbation has been significantly improved. Similarly, the simulation of the closed-loop control are presented to validate the effectiveness of the designed sliding mode controller, and the results demonstrate that the designed sliding mode controller including the derived relative J₂ perturbation can guarantee the high accuracy and robustness of spacecraft hovering in long-term mission.     

Neal-Smith时域PIO预测准则及应用

基于Neal-Smith频域准则,Neal-Smith时域准则(TDNS, Time Domain Neal-Smith criterion)是另一重要的固定翼飞机驾驶员诱发振荡(简称PIO)预测准则,其无需对人机系统的非线性进行任何假设和简化.以某机型为模型,采用TDNS,通过俯仰角闭环操纵误差信号与目标捕获时间之间的关系来同时预测I、II型驾驶员诱发振荡,同时分析了不同速率限制环节对预测结果的影响,基于误差信号的均方差及其二次偏导数,得到了TDNS准则一般计算方法及各个影响因素的关系.结果表明,TDNS准则的计算方法可行、直观、高效.     

Forecasting space weather: Can new econometric methods improve accuracy?

Space weather forecasts are currently used in areas ranging from navigation and communication to electric power system operations. The relevant forecast horizons can range from as little as 24 h to several days. This paper analyzes the predictability of two major space weather measures using new time series methods, many of them derived from econometrics. The data sets are the A_p geomagnetic index and the solar radio flux at 10.7 cm. The methods tested include nonlinear regressions, neural networks, frequency domain algorithms, GARCH models (which utilize the residual variance), state transition models, and models that combine elements of several techniques. While combined models are complex, they can be programmed using modern statistical software. The data frequency is daily, and forecasting experiments are run over horizons ranging from 1 to 7 days. Two major conclusions stand out. First, the frequency domain method forecasts the A_p index more accurately than any time domain model, including both regressions and neural networks. This finding is very robust, and holds for all forecast horizons. Combining the frequency domain method with other techniques yields a further small improvement in accuracy. Second, the neural network forecasts the solar flux more accurately than any other method, although at short horizons (2 days or less) the regression and net yield similar results. The neural net does best when it includes measures of the long-term component in the data.     

空间近程高速相对运动方程的状态转移矩阵

分析了空间近程高速相对运动的特点,建立了描述近程高速相对运动的线性微分方程组,并给出了状态转移矩阵与解析解。仿真结果表明:对于HEO-GEO近程高速相对运动,所建方程的相对距离计算误差仅为16 cm,不足Hill方程计算误差的15%。所给出的状态转移矩阵对于实现空间目标拦截等任务的实时高精度相对导航和制导算法具有一定的应用价值。     

振荡函数的移动最小二乘逼近方法

移动最小二乘法在求解偏微分方程数值解中得到广泛使用,但是用等距节点逼近振荡函数时逼近精度不高,针对这一问题,用适应函数变化的非均匀节点离散求解区域,与之相适应,移动最小二乘法中权函数的支撑域半径也随节点密度变化,这里用基于领域搜索算法确定支撑域半径。数值算例表明,在移动最小二乘法中,用适应节点变化的节点集及基于领域的搜索算法确定支撑域半径能够有效减小逼近误差。     

大载荷摆动情况下飞行器姿态控制研究(英文)

天文观测卫星的主敏感器安装在一个具有二自由度、并直接与卫星平台相连的万向支架上。因敏感器的质量和长度不能忽略,故卫星姿态及其质心位置、转动惯量等结构参数将因敏感器与卫星间的角运动而发生改变,因此大载荷摆动情况下的飞行器姿态控制是本文研究的重点。本文根据动量矩定理推导出了存在内部相对运动的二刚体动力学模型,卫星系统的转动惯量将由该模型确定。由卫星的当前及其期望姿态四元数,构建出描述卫星姿态偏差的拟欧拉角;对拟欧拉角进行规范化处理,以保证三通道所对应的拟欧拉角分量分别由控制力矩的3个分量所控制。之后,提出了基于拟欧拉角的姿态开关控制律,该控制律可保证三通道所对应的相轨迹可沿开关线滑向坐标原点(其期望状态)。仿真结果表明,即使是在结构不对称和三通道严重耦合的情况下,该控制律也能保证卫星姿态可以得到较好的控制。     

高动态下的星体目标质心提取方法

高动态情况下,星点像斑在星敏感器探测器上会呈现出拖尾现象,星点质心无法被准确提取。针对上述难点,本文提出了一种高动态条件下基于差异哈希算法的星点质心提取方法。该方法分为三步：第一,建立动态星斑的数学模型;第二,利用差异哈希算法和汉明距离实现星跟踪窗口内星体目标粗定位;第三,在粗定位区域使用阈值分割与连通域法提取星点质心。实验结果表明,该方法能够适应各种长度的曝光时间,并实现星敏感器在3（°）/s条件下的稳定跟踪。在曝光时间50ms,角速度3（°）/s的条件下,星对角距误差为13”,平均提取率为96%,相比于传统方法,分别提高了29.6%和22.9%。