核心机驱动风扇级气动参数径向分布对变循环发动机性能的影响

为了考虑部件流动细节对发动机性能的影响,采用迭代耦合方法建立了变循环发动机(Variable cycle engine,VCE)多维仿真模型。在VCE多维仿真模型中,核心机驱动风扇级(Core driven fan stage,CDFS)三维仿真模型的结果以流量修正因子、压比修正因子和等熵效率修正因子的形式反馈给VCE零维仿真模型,对CDFS的特性图进行修正。在考虑CDFS气动参数径向分布的影响时,根据CDFS涵道比及三维仿真结果,计算CDFS内、外涵的流量、压比及等熵效率,同时在VCE零维仿真模型中以CDFS外涵特性图的辅助变量β值取代CDFS涵道比作为迭代变量。结果表明:在VIGV角度为15°时,外涵区域的压比低于内涵区域的压比;而在VIGV角度为40°时,叶尖区域的流动分离更为严重,导致转子进口的攻角增大,转子叶尖区域的负荷加重,外涵区域的压比高于内涵区域的压比;CDFS气动参数径向分布对VCE性能有较为明显的影响,CDFS较高的内涵压比及较低的外涵压比可使发动机核心流流量增大及总增压比升高,进而引起发动机推力的增大,推力最大变化为1.75%。     

Testing the no-hair theorem with observations of black holes in the electromagnetic spectrum

According to the no-hair theorem, astrophysical black holes are uniquely described by their mass and spin. In this paper, we review a new framework for testing the no-hair hypothesis with observations in the electromagnetic spectrum. The approach is formulated in terms of a Kerr-like spacetime containing a quadrupole moment that is independent of both mass and spin. If the no-hair theorem is correct, then any deviation from the Kerr metric quadrupole has to be zero. We show how upcoming VLBI imaging observations of Sgr A∗ as well as spectroscopic observations of iron lines from accreting black holes with IXO may lead to the first astrophysical test of the no-hair theorem.     

径向基神经网络在优化导引律中的应用

应用神经网络的非线性的特点,在纯比例导引律的导引下,分析战机的运动轨迹,通过采样取得的一系列载机的控制输入数据,根据追踪导引控制的内在要求(目标视线角速度的绝对值减小并趋于零),设计载机导引控制器的相应的离散输出值,离线训练一个径向基神经网络模块,嵌入到载机控制回路中,作为战机导引的控制输入,实现载机在纯比例导引下的性能优化;仿真结果表明,在节能及省时方面,能达优化纯比例导引律的目的。     

Integrated Entry Guidance for Reusable Launch Vehicle

A method for the implementation of integrated three-degree-of-freedom constrained entry guidance for reusable launch vehicle is presented. Given any feasible entry conditions, terminal area energy management interface conditions, and the reference trajectory generated onboard then, the method can generate a longitudinal guidance profile rapidly, featuring linear quadratic regular method and a proportional-integral-derivative tracking law with time-varying gains, which satisfies all the entry corridor constraints and meets the requirements with high precision. Afterwards, by utilizing special features of crossrange parameter, establishing bank-reversal corridor, and determining bank-reversals according to dynamically adjusted method, the algorithm enables the lateral entry guidance system to fly a wide range of missions and provides reliable and good performance in the presence of significant aerodynamic modeling uncertainty. Fast trajectory guidance profiles and simulations with a reusable launch vehicle model for various missions and aerodynamic uncertain-ties are presented to demonstrate the capacity and reliability of this method.     

利用Gaussian型RBF网络进行函数逼近的构造性估计

前馈人工神经网络有着极其广泛的应用，如何估计隐层神经元数及相应的逼近误差，一直是确定前馈网络结构的难点和关键。RBF网络是一种最重要的前馈网络，本文给出了利用Gaussian型RBF网络逼近连续函数或Lebesgue-可积函数时的构造性隐层单元数显式估算式及相应的显式逼近误差估算式。文中的结论也易于推广到离散样本的情形。这些结论对于提高Guassian型RBF在实际应用时的计算精度和减少计算量具有一定的指导意义。     

基于水平集方法的连续体结构拓扑优化方法研究

考虑到现有各种连续体结构拓扑优化方法的优缺点,提出了一种新的连续体结构拓扑优化新策略。该方法将无网格法和水平集方法结合起来,充分发挥各自的优点,使得该拓扑优化新策略具有良好的收敛性和计算精度。     

基于Log—Sigmoid型径向基神经网络的雷达辐射源识别

提出基于一种新的鲁棒性径向基 (RBF)神经网络的雷达辐射源识别方法。此网络应用Log -Sigmoid函数作为基函数 ,避免了学习过程中的不稳定状态 ,并且比传统的RBF有更好的学习性能和函数逼近能力。并介绍一种新的归一化函数 ,通过归一化函数把不同类型 ,不同量纲的原始评估数值转换到 [- 1,1]区间 ,该效用函数较好地体现了“奖优罚劣”的原则 ,同时又更有利于神经网络的训练。仿真实验证明了该方法的优越性。     

智能型减压器试验台的研制

主要介绍了基于硬件设备和软件编程基础上的智能型减压器试验台的设计与应用。测试系统保留了最通常的手动操作系统，增加了全新的自动数据采集系统。试验台可精确、同步测量高入口压力值时的瞬时出口压力值，同时，增加了入口压力控制系统，大大提高了工作效率。     

第三代移动通信系统中非线性多用户检测技术

在CDMA系统中，多用户检测技术是提高系统容量，减少用户间干扰的关键。非线性多用户检测包括干扰消除和神经网络检测技术。其中干扰消除检测是对不同用户独立进行MAI估计，然后从接收信号中减去对该用户而言的部分或全部MAI；多用户检测从本质上看是一个组合优化问题，所有解决组合优化的算法原则上均可适用于多用户检测，其中基于神经网络的解组合优化方法当然也适用于多用户检测。本文论述了几种非线性多用户检测器的基本原理及其特点。     

Comparison of the CHAMP radio occultation data with the Canadian advanced digital ionosonde in the Polar Regions

In this paper we present the results of the comparison of the retrieved electron density profiles of the Ionospheric Radio Occultation (IRO) experiment on board CHAMP (CHAllenging Minisatellite Payload), with the ground ionosonde profiles for the Polar Regions. IRO retrieved electron density profiles from CHAMP are compared with Canadian Advanced Digital Ionosonde (CADI) measurements at two vertical sounding stations well within the Polar Cap, Eureka (geog. 80°13′ N; 86°11′ W) and Resolute Bay (geog. 74°41′ N; 94°54′ W). We compared the ionospheric parameters such as the peak electron density of the F-layer (NmF₂) and the peak height of the F-layer (h_mF₂) for a 3-year period, 2004–2006. CHAMP derived NmF₂ shows reasonable agreement with the ionosonde retrieved NmF₂ for both the stations (0.76 and 0.71 correlation coefficient, for Eureka and Resolute Bay, respectively) whereas the h_mF₂ agreement is not that acceptable (0.25 and 0.37 correlation coefficient, respectively). The h_mF₂ from vertical sounding showed less spread than the CHAMP h_mF₂.