应用UIO的卫星姿控故障检测与仿真

为了克服未知输入对观测器的影响,防止在故障检测滤波器中出现错误的报警,以Chen和Patton提出的未知输入观测器的基本架构,设计了两个观测器.这两个观测器分别对故障敏感和不敏感,推导了两种情况下的误差方程,并且设计了残差.该残差能够与故障信号建立直接的联系,便于对故障的分析与诊断.该方法用于卫星姿控系统中,并且进行了仿真.     

基于正交实验设计的UAV编队配系优化方法

针对多无人机执行对地攻击作战任务的背景,建立了编队对地攻击模型,提出了基于正交实验设计的编队配系优化方法。在考虑多机协同作战因素下,构建了编队目标分配的基本模型;以探测、识别和杀伤为基本过程,构建了攻击过程模型;以空袭方付出代价、防空方毁伤程度和作战效率为依据,构建了目标函数模型,分析了模型中中间变量与目标函数之间的关系;利用正交实验设计原理,研究了编队配系优劣的评价方法。实例分析表明,该方法能够在已有的资源约束条件下,给出编队的最优配系方案。     

陶瓷基复合装甲防12.7mm穿甲燃烧弹的靶试研究（Ⅱ）

基于对材料特性和防弹机理的认识,设计了由（SiC＋Si）陶瓷、616装甲钢和高强PE材料构成的陶瓷基复合靶板,靶板防护面密度为118 kg/m2,尺寸为500 mm×500 mm×25 mm。利用现役12.7 mm穿甲燃烧弹考核靶板在6发弹打击下的防护能力,检验靶板设计思路。结果表明：靶板结构是可行的,可防住V25为818 m/s的现役12.7 mm穿甲燃烧弹。     

基于LDA算法的一维距离像特征提取

在线性分辨分析(LDA)基础上,通过遗传算法寻找Fisher准则下最优的线性映射中心和相应的最优映射,使不同模式在特征空间内具有最大的可分离性,并将该算法用于雷达目标一维距离像特征提取与识别中。实验表明,和原算法相比,新算法在特征提取性能和目标正确识别率上有较大提高,说明了算法的有效性。     

导弹防御系统中的雷达目标识别研究

以评估美国国家导弹防御(NMD)系统雷达识别能力为背景,分析了地基雷达识别弹道导弹目标的技术途径。根据弹道导弹目标群在飞行中段和再入段表现出的特性差异,提出了涉及目标结构特性、姿态特性以及再入特性的综合识别策略,并初步分析了各种识别措施的可行性。     

设备健康状态评估指标体系约简方法

针对设备健康状态评估涉及指标多、指标间关系复杂的问题,提出基于粗糙集和遗传算法的设备健康状态评估指标体系约简方法.将粗糙集理论和遗传算法相结合,对设备健康状态评估指标进行约简的同时,提高约简效率.某燃气轮机健康状态评估指标体系约简案例显示,该方法能够在不失代表性、系统性的前提下,将复杂指标体系约简为较为简洁、明了的指标体系,保持评估结果准确的同时减少信息收集工作量.     

Shock-induced reaction behaviors of functionally graded reactive material

In this paper, the ballistic impact experiments, including impact test chamber and impact double-spaced plates, were conducted to study the reaction behaviors of a novel functionally graded reactive material (FGRM), which was composed of polytetrafluoroethylene/aluminum (PTFE/Al) and PTFE/Al/bismuth trioxide (Bi₂O₃). The experiments showed that the impact direction of the FGRM had a significant effect on the reaction. With the same impact velocity, when the first impact material was PTFE/Al/Bi₂O₃, compared with first impact material PTFE/Al, the FGRM induced higher overpressure in the test chamber and larger damaged area of double-spaced plates. The theoretical model, which considered the shock wave generation and propagation, the effect of the shock wave on reaction efficiency, and penetration behaviors, was developed to analyze the reaction behaviors of the FGRM. The model predicted first impact material of the FGRM with a higher shock impedance was conducive to the reaction of reactive materials. The conclusion of this study provides significant information about the design and application of reactive materials.     

Influence of a liquid-filled compartment structure on the incoming shaped charge jet stability

Liquid-filled compartment structure consists of a bulk steel plate with matrix blind holes which are filled with liquid and a steel front plate to seal up the liquid with rings and bolts.The liquid-filled compart-ment structure can resist the shaped charge warhead effectively.This paper presents experimental and theoretical investigations of the penetration ability of the residual shaped charge jet emerging from the liquid-filled compartment structure after the penetration process at different impact angles.On the basis of shock wave propagation theory,the influence of the liquid-filled compartment structure on jet sta-bility is analysed.The interferences of the liquid backflow caused by a reflected shock wave and a back plate on jet stability under different impact angles are also examined.In addition,the range of the disturbed velocity segments of the jet at different impact angles and the penetration ability of the re-sidual jet are obtained.A theoretical model is validated against the experimental penetration depths.     

A novel signal feature extraction technology based on empirical wavelet transform and reverse dispersion entropy

Feature extraction is an important part of signal processing, which is significant for signal detection, classification, and recognition. The nonlinear dynamic analysis method can extract the nonlinear characteristics of signals and is widely used in different fields. Reverse dispersion entropy (RDE) proposed by us recently, as a nonlinear dynamic analysis method, has the advantages of fast computing speed and strong anti-noise ability, which is more suitable for measuring the complexity of signal than traditional permutation entropy (PE) and dispersion entropy (DE). Empirical wavelet transform (EWT), based on the theory of wavelet analysis, can decompose a complex non-stationary signal into a number of empirical wavelet functions (EWFs) with compact support set spectrum, which has better decomposition performance than empirical mode decomposition (EMD) and its improved algorithms. Considering the advantages of RDE and EWT, on the one hand, we introduce EWT into the field of underwater acoustic signal processing and fault diagnosis to improve the signal decomposition accuracy; on the other hand, we use RDE as the features of EWFs to improve the signal separability and stability. Finally, we propose a novel signal feature extraction technology based on EWT and RDE in this paper. Experimental results show that the proposed feature extraction technology can effectively extract the complexity features of actual signals. Moreover, it also has higher distinguishing ability for different types of signals than five latest feature extraction technologies.     

An efficient SPH methodology for modelling mechanical characteristics of particulate composites

Particulate composites are one of the widely used materials in producing numerous state-of-the-art components in biomedical, automobile, aerospace including defence technology. Variety of modelling techniques have been adopted in the past to model mechanical behaviour of particulate composites. Due to their favourable properties, particle-based methods provide a convenient platform to model failure or fracture of these composites. Smooth particle hydrodynamics (SPH) is one of such methods which demonstrate excellent potential for modelling failure or fracture of particulate composites in a Lagrangian setting. One of the major challenges in using SPH method for modelling composite materials depends on accurate and efficient way to treat interface and boundary conditions. In this paper, a master-slave method based multi-freedom constraints is proposed to impose essential boundary conditions and interfacial displacement constraints in modelling mechanical behaviour of composite materials using SPH method. The proposed methodology enforces the above constraints more accurately and requires only smaller condition number for system stiffness matrix than the procedures based on typical penalty function approach. A minimum cut-off value-based error criteria is employed to improve the compu-tational efficiency of the proposed methodology. In addition, the proposed method is further enhanced by adopting a modified numerical interpolation scheme along the boundary to increase the accuracy and computational efficiency. The numerical examples demonstrate that the proposed master-slave approach yields better accuracy in enforcing displacement constraints and requires approximately the same computational time as that of penalty method.