Interface flux reconstruction method based on optimized weight essentially non-oscillatory scheme

Aimed at the computational aeroacoustics multi-scale problem of complex configurations discretized with multi-size mesh, the flux reconstruction method based on modified Weight Essentially Non-Oscillatory (WENO) scheme is proposed at the interfaces of multi-block grids. With the idea of Dispersion-Relation-Preserving (DRP) scheme, different weight coefficients are obtained by optimization, so that it is in WENO schemes with various characteristics of dispersion and dissipation. On the basis, hybrid flux vector splitting method is utilized to intelligently judge the amplitude of the gap between grid interfaces. After the simulation and analysis of 1D convection equation with different initial conditions, modified WENO scheme is proved to be able to independently distinguish the gap amplitude and generate corresponding dissipation according to the grid resolution. Using the idea of flux reconstruction at grid interfaces, modified WENO scheme with increasing dissipation is applied at grid points, while DRP scheme with low dispersion and dissipation is applied at the inner part of grids. Moreover, Gauss impulse spread and periodic point sound source flow among three cylinders with multi-scale grids are carried out. The results show that the flux reconstruction method at grid interfaces is capable of dealing with Computational AeroAcoustics (CAA) multi-scale problems.     

Super-resolution reconstruction of astronomical images using time-scale adaptive normalized convolution

In this work, we describe a new multiframe Super-Resolution (SR) framework based on time-scale adaptive Normalized Convolution (NC), and apply it to astronomical images. The method mainly uses the conceptual basis of NC where each neighborhood of a signal is expressed in terms of the corresponding subspace expanded by the chosen polynomial basis function. Instead of the conventional NC, the introduced spatially adaptive filtering kernel is utilized as the applicability function of shape-adaptive NC, which fits the local image structure information including shape and orientation. This makes it possible to obtain image patches with the same modality, which are collected for polynomial expansion to maximize the signal-to-noise ratio and suppress aliasing artifacts across lines and edges. The robust signal certainty takes the confidence value at each point into account before a local polynomial expansion to minimize the influence of outliers. Finally, the temporal scale applicability is considered to omit accurate motion estimation since it is easy to result in annoying registration errors in real astronomical applications. Excellent SR reconstruction capability of the time-scale adaptive NC is demonstrated through fundamental experiments on both synthetic images and real astronomical images when compared with other SR reconstruction methods.     

基于强跟踪UPF的重力梯度辅助定位方法

针对重力梯度辅助定位中,存在重力梯度的强非线性分布及系统模型偏差等问题,将STUPF引入匹配定位过程。该方法根据残差信息实时调节系统状态跟踪能力,有效应对模型偏差对定位的影响。基于真实INS数据的仿真实验结果表明,STUPF可达到较好的定位效果,且与标准PF、GPF算法相比,其在定位的精度、稳定性及运算量上具有一定优势。     

大弯角串列叶型形状及相对位置的耦合优化设计

为了提高串列叶型设计的质量,建立了一套结合改进微粒群优化算法、自适应Kriging模型、非均匀有理B样条(NURBS)参数化方法的串列叶型优化设计系统。该系统可以实现叶型形状和叶型相对位置的耦合优化设计。提出了一种改进微粒群优化算法。在微粒群算法中,自适应改变微粒的惯性因子、学习因子、邻域微粒数目可以有效地平衡算法的全局和局部寻优能力。采用人工免疫算子对微粒群进行变异处理可以有效保持种群多样性。运用NURBS方法实现了串列叶型的参数化,设计了一种NURBS控制点的扰动方法,证明了改进EI(expected improvement)准则能使Kriging模型更容易跳出局部最优解。应用该系统优化某大弯角串列叶型,优化结果表明:在设计工况,优化后叶型的总压损失系数降低了40.4%,优化后的叶型在全攻角下的总压损失系数减小了,静压升增加了,在正攻角下的性能改善更明显,证明了该研究的耦合优化设计方法具有很好的实际应用价值。     

改进的参考电压矢量获取方法

针对基于空间矢量调制的永磁同步电机直接转矩控制方法中,参考电压矢量获取涉及电机参数,而电机参数的变化又导致预测结果不可靠的问题,提出了一种不依赖电机参数的参考电压矢量获取方法。通过对转矩误差以及定子磁链幅值误差进行PI控制,对其输出量分别分配一定的权重,用其绝对值的加权,作为参考电压矢量幅值的控制量,用其比值作为确定参考电压矢量相对于定子磁链矢量角度偏差的依据。仿真结果表明,该方法能很好克服电机参数变化造成的影响,从而试验验证了该方法的有效性。     

多模型GGIW-GLMB算法跟踪机动群目标

针对多个机动群目标跟踪问题,提出了一种多模型伽马高斯逆威夏特-广义标签多贝努利（MM-GGIW-GLMB）算法。采用多模型算法对群目标进行运动建模,利用最适高斯（BFG）近似在预测阶段对多模型进行融合,减小了多模型算法的运算量,为进一步提高算法在目标机动阶段的跟踪性能,引入强跟踪滤波器（STF）对BFG算法得到的预测状态协方差进行修正。利用最优次模式分配（OSPA）距离及其一倍标准差和航迹标签正确率衡量算法对机动群目标的跟踪性能。仿真结果表明,本文算法能够提升对机动群目标的跟踪精度和稳定性。      

基于仿真的小型数据中心气流组织研究

为了实现小型数据中心能在办公室环境中运行而降低运行成本这一实际需求,提出了蒸汽压缩制冷系统与服务器融合封闭的降噪与制冷的一体化设计方案。在关键部件——轴流风扇和蒸发器的仿真策略得到验证的基础上,建立了系统气流组织仿真模型以分析箱体内流动与换热特征,以方差和信息熵构建不均匀性评价指标以评估不同风扇排布方式对服务器温度场均匀性的影响,讨论了发热密度增大时的应对策略。结果表明,轴流风扇不均匀的动量驱动导致了蒸发器内不均匀的流动与换热,所设计的降噪制冷系统可以使服务器的排风温度控制在21.6~22.2℃,增加蒸发器的散热风扇可以整体上改善温度场均匀性,发热密度增大时增大服务器的通风量是降低排风温度的有效措施。      

地标自主导航的高精度地标库建立方法

利用地标信息的卫星自主导航方法是通过星载光学摄像机实时拍摄地标景象来计算卫星的位置、速度等参数,具有完全自主的特点,并且适用范围广泛,可用于能够周期性获得地面图像的航天器,但受到地标选取方法以及地标库建立策略的制约,影响到导航精度,阻碍了推广使用。针对上述问题,提出了建立全局及高性能的地标库,即采用全球地标控制点选取的原则选取性能优良的全球地标样本,并自动生成全局地标库。通过计算机仿真验证了该方法的有效性,结果表明,使用全球地标控制点选取地标样本,并自动生成全局地标库,可以快速而准确地为航天器进行高精度的自主导航,导航位置误差约为99 m,速度误差约为0.08 m/s。