永磁驱动重构型车载充电机三相DC/DC变流器的研究

提出了一种新型永磁驱动重构型车载充电机三相DC/DC变流器集成系统。该集成系统将永磁驱动的电机绕组和DC/AC逆变器重构成车载充电机实现电动汽车驱动-充电的集成,具有空间利用率高、充电快速和可靠性高等特点。分析了集成系统的结构和工作原理,推导了充电系统的三相DC/DC变换器数学模型。在此基础上,利用MATLAB/Simulink仿真软件搭建了驱动-充电集成系统仿真模型,对同步脉宽调制(PWM)控制和交错PWM控制策略进行仿真研究,分析对比了交流侧电压电流、直流侧电机绕组电感电流和直流侧电压波形。仿真结果表明,与交错PWM控制策略相比,同步PWM控制策略下该新型结构充电系统具有更好的运行性能。     

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.     

卫星导航系统失效性能分析与重构方法研究

摘要： 以建成后的北斗卫星导航系统为对象,研究导航星座中有卫星失效下的星座性能和重构方法.分析不同失效模式下导航星座的服务性能,在此基础上建立导航星座重构构型的优化模型和基于遗传算法的导航星座重构构型优化设计方法;研究星座构型重构过程中卫星的机动策略和机动模型;针对某一具体的失效情况通过仿真计算验证重构模型的有效性和准确性并给出该失效情况下构型重构的机动方案.     

基于稀疏重建的MIMO-OTH雷达多模杂波抑制算法

针对由多模传播引起的多普勒扩展杂波(SDC)严重影响天波超视距雷达(OTHR)对慢速船舰目标的检测这一问题,在基于多输入多输出体制的新一代天波超视距(MIMO-OTH)雷达系统下,利用空域信息抑制多模SDC。传统处理方法需要目标角度先验信息,而在实际中,该信息往往很难获得。为此,提出一种新的基于稀疏重建的多模杂波抑制算法。该算法将二维的稀疏角度搜索转变为一维的角度搜索,使运算量大大降低,且估计出的收发角(DOA-DOD)自动配对,同时可获得各个传播路径下信号的时间多普勒信息,达到了理想的MIMO-OTH雷达多模杂波抑制效果。仿真结果证明了所提算法的有效性。     

Effects of pressure oscillation on aerodynamic characteristics in an aero-engine combustor

The effects of pressure oscillation on aerodynamic characteristics in an aero-engine combustor are investigated. A combustor test rig is designed to simulate the pressure drop characteristics of a practical annular combustor. The pressure drop characteristics are firstly measured under atmosphere condition with non-reacting flow (or cold flow), and the air mass flow proportion of each component (dome/liner) are obtained; these properties are base lines for comparison with combustion state. The combustion tests are then carried out under conditions of inlet temperature 340–450 K, fuel air ratio 0.010–0.028. The stability map and the oscillation frequencies are obtained in the tests, the results show that pressure oscillation amplitude increases with the increase of fuel air ratio. Phase trajectory reconstruction is applied to classify the pressure oscillation motion; there are three motions captured in the tests including: “disk”, “ring” and “cluster”. The pressure drops across the dome under strong pressure oscillation are distinctly divergent from the cold flow, and the changes of pressure drops are mainly affected by pressure oscillation amplitude, but is less influenced by pressure oscillation motion nor oscillation frequencies. Based on the mass flow conservation, the reduction of effective flow area of combustor under strong pressure oscillation is demonstrated. Liner wall temperatures are analyzed through Multiple Linear Regression (MLR) method to estimate the reduction of the air mass flow proportion of the liner cooling under strong pressure oscillation. Finally, the air mass flow proportions of each component under strong pressure oscillation are estimated, the results show that the pressure oscillation motion also has influence on air mass flow proportion.     

Multi-coset angular sampling-based compressed sensing of blade tip-timing vibration signals under variable speeds

Blade Tip-Timing (BTT) has been regarded as a promising way of on-line blade vibration monitoring. But blind multi-band BTT vibration reconstruction is a big challenge under variable speeds and under-sampling. In order to deal with it, a novel Compressed Sensing (CS) method is proposed based on Multi-Coset Angular Sampling (MCAS) in this paper. First, multi-coset sampling scheme of BTT vibration signals is presented. Then the CS model of BTT vibration signals is derived in order domain. A sufficient condition of the number of BTT sensors is derived for perfect reconstruction and optimal placement of BTT sensors is determined by minimizing the condition number. In the end, numerical simulations are done to validate the proposed method and the performances of four reconstruction algorithms are compared, i.e., Orthogonal Matching Pursuit (OMP), Multiple Signal Classification (MUSIC), Basis Pursuit Denoising (BPDN) and Modified Focal Underdetermined System Solver (MFOCUSS). Influences of the sensor placement, the number of BTT sensors and measurement noises on the reconstruction performances are also testified. The results demonstrate that the proposed method is feasible and the overall performance of the BPDN algorithm is the best among the four algorithms. Also the reconstruction performance decreases with the accelerations of rotating speed.     

基于观测器的航天器执行机构失效故障重构

针对刚体航天器在轨运行时存在执行机构失效故障和外部干扰问题,提出了一种基于观测器的故障检测与重构方法。该方法运用迭代学习技术,利用上一步的执行机构故障观测信息来估计当前的故障信息,并最终实现故障的精确重构。此外基于Lyapunov方法从理论上证明了此故障诊断方法能够实时、在线地实现对常值、时变甚至随机型的执行机构失效故障的重构,并且对外干扰力矩具有一定的鲁棒性。最后,仿真结果验证了该方法的有效性。
     

过渡协调模式下机翼数学模型的建立

讨论了飞机制造模式由模拟量协调体系向数字量协调体系转化过程中出现的问题,重点研究了其中的关键技术,即飞机外形数字化模型的建立,主要包括理论图的分析与转化,外形数据的获取,翼型轮廓曲线的计算,外形曲面的重构以及误差检验等。上述建模过程遵循了原始设计意图,保证所建数模符合生产中使用的制造与检验依据,为定型飞机数字化建模提供了理论指导。     

基于实时可达域的高速飞行器分组队形优化

无动力高速飞行器作为欠驱动系统,在进行编队飞行队形优化时需系统地考虑其控制特点。借助“实时可达域”这一概念,在分析高速飞行器实际可到达区域的基础上,考虑集群成员数量变化以及实际集群包含多个任务小组的情况,提出一种适用于高速飞行器集群的分组动态队形优化方法。仿真结果表明提出的队形优化方法可对队形形状和参数进行一体化优化,可灵活适应多种飞行任务,同时也适用于集群成员数量发生变化的队形重构问题,具有重要应用价值。