射频波电流驱动对经典单撕裂模影响的数值研究

本文在平板位型下采用二维可压缩磁流体模型,研究了沉积在不同位置的外部局域驱动电流对稳态经典单撕裂模的影响和极向剪切流对驱动电流抑制磁岛作用的影响。研究发现外部驱动电流对撕裂模的抑制作用对其沉积位置很敏感,尤其是对于其沉积位置在径向的偏移。当存在极向剪切流时,外部驱动电流对撕裂模的抑制作用对极向剪切流的幅值有要求,在阈值范围内极向剪切流越大外部驱动电流对磁岛抑制效果越好,超阈值却相反。     

考虑发动机干扰的尾吊布局后体气动优化设计

针对尾吊布局飞机考虑发动机干扰的机身后体减阻优化设计问题,建立了适用于复杂构型的气动外形优化设计系统。该优化设计系统采用了自由形变(FFD)参数化方法和基于紧支函数的径向基函数(RBF)动网格技术、计算流体力学(CFD)技术、Kriging代理模型以及改进的微分进化算法。利用该系统对机身后体进行了减阻优化设计,总阻力减小了2.67%。流场分析显示,阻力减小得益于优化后改变了机身后体与短舱之间流管的形状,减小了与挂架产生的不利干扰,消除了流动分离,削弱了激波强度。优化结果表明,针对尾吊布局飞机后体减阻优化设计问题,所建立的优化设计系统具有较好的实用性。     

Intelligent modeling and identification of aircraft nonlinear flight

In this paper, a new approach has been proposed to identify and model the dynamics of a highly maneuverable fighter aircraft through artificial neural networks（ANNs）. In general, aircraft flight dynamics is considered as a nonlinear and coupled system whose modeling through ANNs, unlike classical approaches, does not require any aerodynamic or propulsion information and a few flight test data seem sufficient. In this study, for identification and modeling of the aircraft dynamics, two known structures of internal and external recurrent neural networks（RNNs） and a proposed structure called hybrid combined recurrent neural network have been used and compared.In order to improve the training process, an appropriate evolutionary method has been applied to simultaneously train and optimize the parameters of ANNs. In this research, it has been shown that six ANNs each with three inputs and one output, trained by flight test data, can model the dynamic behavior of the highly maneuverable aircraft with acceptable accuracy and without any priori knowledge about the system.     

Weighted marginal fisher analysis with spatially smooth for aircraft recognition

Due to limitations to extract invariant features for recognition when the aircraft presents various poses and lacks enough samples for training, a novel algorithm called Weighted Marginal Fisher Analysis with Spatially Smooth （WMFA-SS） for extracting invariant features in aircraft rec- ognition is proposed. According to the Graph Embedding （GE） framework, Heat Kernel function is firstly introduced to characterize the interclass separability when choosing the weights of penalty graph. Furthermore, Laplacian penalty is applied to constraining the coefficients to be spatially smooth in this algorithm. Laplacian penalty is able to incorporate the prior information that neigh- boring pixels are correlated. Besides, using a Laplacian penalty can also avoid the singularity of Laplacian matrix of intrinsic graph. Once compact representations of the images are obtained, it can be considered as invariant features and then be performed in classification to recognize different patterns of aircraft. Real aircraft recognition experiments show the superiority of our proposed WMFA-SS in comparison to other GE algorithms and the current aircraft recognition algorithm; the accuracy rate of our proposed method is 90.00% for dataset BH-AIR1.0 and 99.25% for dataset BH-AIR2.0.     

Multi-view space object recognition and pose estimation based on kernel regression

The application of high-performance imaging sensors in space-based space surveillance systems makes it possible to recognize space objects and estimate their poses using vision-based methods. In this paper, we proposed a kernel regression-based method for joint multi-view space object recognition and pose estimation. We built a new simulated satellite image dataset named BUAA-SID 1.5 to test our method using different image representations. We evaluated our method for recognition-only tasks, pose estimation-only tasks, and joint recognition and pose estimation tasks. Experimental results show that our method outperforms the state-of-the-arts in space object recognition, and can recognize space objects and estimate their poses effectively and robustly against noise and lighting conditions.     

钝体后预混火焰稳定机理与钝体尺寸间关系的研究

为了进一步理解火焰稳定的详细机理,采用钝体作为火焰稳定机理的研究模型,详细分析了火焰根部流场特性对于火焰稳定的影响。研究了二维通道中不同尺寸V型钝体在不同进口速度下的反应流场,分析了预混煤油火焰根部特性。进口煤油和空气的当量比为Φ=0.6,进口温度300K,环境压力0.1MPa。结果显示在钝体分别为小尺寸、中间尺寸和大尺寸时,钝体后火焰根部特征、回流区特征和火焰根部位置随进口速度变化的规律都各不相同。当D=1mm钝体尺寸较小时,速度从0.4m/s增加到0.48m/s,一个火焰根部向下游移动4.5mm;当D=8mm钝体为中间尺寸时,来流速度从1m/s增加到5m/s,两个火焰根部首先向下游移动7mm,再向上游移动3.7mm;当D=32mm钝体尺寸较大时,来流速度从5m/s增加到25m/s,两个火焰根部均向上游移动2mm。     

基于星座图恢复的PSK信号调制方式盲识别

针对非协作通信条件下PSK信号识别问题,提出了一种基于星座图恢复的MPSK/MDPSK信号调制方式盲识别系统.该系统不需要信号任何先验信息,星座图恢复所需的参数如载波频率、符号速率、位定时信息均从接收序列中估计得到,同时,在系统中采用相位差分的方法以消除由载波估计偏差引起的星座图扩散.提出并定义信号隶属度函数,该函数利用星座图盲聚类得到的聚类中心的数目计算隶属度来实现MPSK和MDPSK信号调制方式识别.仿真表明,在AWGN信道条件下,当SNR＞11dB时,对所有信号的识别率大于90%,对于BPSK、4PSK信号在SNR＞6dB时识别率达到100%,证明了该算法的有效性.     

基于多层感知器神经元的空间柔性机器人位置跟踪控制

针对基体位置及姿态均不受控的自由漂浮柔性空间机器人轨迹跟踪问题,提出了一种前馈多层感知器(MLP)神经网络控制策略.建立了末端柔性的自由漂浮基机器人的耦合动力学模型,再利用MLP神经网络良好的逼近能力来自适应补偿非线性柔性臂的逆动力学模型,其误差代价函数由PID控制器提供,权重及阀值的调整采用改进的BP反传算法.最后通过仿真比较详细分析了所提方案的工作机理及对非线性强耦合系统控制的有效性.     

发动机谐振与箭体模态耦合稳定性及机理研究

针对发动机谐振可能与箭体弹性振动之间发生耦合共振,从而引起姿态控制系统不稳定的问题,首先将发动机谐振特性简化为一个二阶环节,建立了包含发动机谐振方程的火箭姿态动力学模型;然后分析了发动机谐振对箭体模态极点频率和阻尼比的影响,并从理论上分析了出现负阻尼比时发动机和箭体模态间的耦合共振机理,在此基础上计算了导致姿态控制系统...     

精铸空心涡轮叶片模具虚拟修模方法

针对精铸空心涡轮叶片的精确控形问题,开展模具型腔优化设计中的虚拟修模技术研究.以某型号空心涡轮叶片为研究对象,采用数值模拟的方法,通过使用ProCAST软件对有限元模型进行计算,获得空心涡轮叶片的精铸位移场,基于位移场的反变形虚拟修模方法对模具型腔进行优化设计.经修模后的模具型腔仿真验证及模具型腔型号鉴定,结果表明,按...