基于声波传播时间估计的气流速度测量方法

 为实现对亚声速和超声速气流速度的统一测量,提出了一种基于声传感器的新型测量方法。首先,根据声波在亚声速和超声速气流中的传播特性,利用特定的测量装置建立了声波传播时间与气流速度之间的数学模型,从而将气流速度的测量问题转化为声波传播时间的测量问题。然后,在此基础上,利用计时法和最大似然估计(MLE)方法来估计声波传播时间;其中,计时法在实时性上优势明显,而MLE方法则在可靠性上优于前者。最后,分别从阵元位置扰动性、计时误差和克拉美-罗界(CRB)3个方面对所提算法的性能进行了分析与仿真验证。结果表明,该算法能够实现对亚声速和超声速气流速度的精确测量。     

A numerical model for bird strike on sidewall structure of an aircraft nose

In order to examine the potential of using the coupled smooth particles hydrodynamic(SPH) and finite element(FE) method to predict the dynamic responses of aircraft structures in bird strike events, bird-strike tests on the sidewall structure of an aircraft nose are carried out and numerically simulated. The bird is modeled with SPH and described by the Murnaghan equation of state, while the structure is modeled with finite elements. A coupled SPH–FE method is developed to simulate the bird-strike tests and a numerical model is established using a commercial software PAM-CRASH. The bird model shows no signs of instability and correctly modeled the break-up of the bird into particles. Finally the dynamic response such as strains in the skin is simulated and compared with test results, and the simulated deformation and fracture process of the sidewall structure is compared with images recorded by a high speed camera. Good agreement between the simulation results and test data indicates that the coupled SPH–FE method can provide a very powerful tool in predicting the dynamic responses of aircraft structures in events of bird strike.     

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.     

Testability integrated evaluation method based on testability virtual test data

Testability virtual test is a new test method for testability verification, which has the advantages such as low cost, few restrictions and large sample of test data. It can be used to make up the deficiency of testability physical test. In order to take the advantage of testability virtual test data effectively and to improve the accuracy of testability evaluation, a testability integrated eval- uation method is proposed in this paper based on testability virtual test data. Considering the char- acteristic of testability virtual test data, the credibility analysis method for testability virtual test data is studied firstly. Then the integrated calculation method is proposed fusing the testability vir- tual and physical test data. Finally, certain helicopter heading and attitude system is presented to demonstrate the proposed method. The results show that the testability integrated evaluation method is feasible and effective.     

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.     

无失效数据情形可靠性参数的分析

针对定时截尾可靠性试验中遇到无失效数据的情形,特别是在高可靠性、小样本问题中更容易产生无失效数据的情形,系统分析了产品可靠性参数的估计,以及各种方法间的比较。     

某型系留气球故障案例的可靠性分析

以某型系留气球外场试验的故障案例数据为基础,从故障件所属系统、故障件类型、故障发生时间、故障维修处理方式4方面,运用图表和数据相结合的方式展开可靠性分析,同时针对分析的结果,提出了相似型号系留气球设计与管理方面的一些建议。     

复合材料数据转换接口开发

由于复合材料的各向异性、耦合效应、层间剪切等特殊性质,复合材料结构的精确分析仿真已成为现代产品结构设计的迫切需求.基于CATIA和PATRAN二次开发,使复合材料结构模型相关数据精确地转换到有限元软件PATRAN中,将几何图形、铺层的力学性能、铺层方向、铺层形式直接体现在分析仿真中.     

关于飞机数字化装配对接技术的研究

飞机部件对接技术是把构成飞机基本结构的各个部件连接在一起,形成机身、机翼或整个飞机的过程。近年来,随着数控加工技术、激光测量技术、计算机控制技术、机器人技术、计算机网络和应用集成技术的迅猛发展,飞机装配由人工装配转化为半自动化、自动化装配。     

国际空间站测控通信系统研究

测控通信系统是国际空间站的重要组成部分,可靠的测控通信系统是确保空间站长期稳定在轨运行的基础。对国际空间站测控通信系统进行了较为深入的研究,介绍了国际空间站测控通信系统的组成,梳理了国际空间站中继S系统、中继Ku系统、空空通信系统的链路特性与工作方式,并总结归纳了国际空间站测控通信系统多手段备份、采用高性能编码等特点,以及对我国的启示,能够为我国测控通信系统的发展提供借鉴与参考。