新型装备作战指挥信息系统军事需求论证的反向分析方法

基于新型装备作战指挥信息系统构成及功能,提出了"体系作战效果-作战运用方式-关键能力需求-需求方案决策优化"的军事需求映射机制,构建了新型装备作战指挥信息系统军事需求论证的反向分析总体框架,并分析反向分析方法的内容和设计了流程。该研究对新型作战力量指挥信息系统的顶层设计和工程建设具有一定的价值,对于开展其他复杂系统的体系结构研究也具有借鉴意义。     

一个分析与计算曲面结构的有效方法

给出了一种分析计算CAD曲面模型的数值方法。该方法将构成CAD模型的曲面片视作计算单元(面素单元),建立各面素单元的控制方程,再结合CAD曲面模型的流形特征组装各个单元控制方程以求整体解。面素单元的控制方程可根据问题的求解目标分别利用有限元—边界元耦合、有限元—无单元及其他耦合形成。结合线弹性问题的求解,系统地介绍了面素单元法的单元划分与处理、单元控制方程建立等核心环节。还给出了一个分析三倒圆过渡面静载荷变形的实例及其与ANSYS对照的结果。     

面向典型任务的有人/无人机协同效能评估

有人/无人机协同作战是C4ISR体系下的一种重要形式.本文以有人/无人机协同执行典型任务为研究背景,针对构建可靠、全面的有人/无人机协同效能理论评估方法的问题展开深入研究.首先分析了未来有人/无人机的协同模式和运用规则;然后采用协同系统综合指数模型,在单机能力模型的基础上,提出了一种有人/无人机编队协同效能评估方法;最...     

导弹集成测试策略研究

以美国军方在武器系统研发、生产和维护过程中推行的设计—制造—维护纵向集成测试策略为参考,针对我国导弹武器系统的测试和诊断技术的应用和发展现状,论述了适合我国导弹测试系统开发的集成测试策略。     

Robust adaptive UKF based on SVR for inertial based integrated navigation

Aiming at the problem that the traditional Unscented Kalman Filtering (UKF) algorithm can’t solve the problem that the measurement covariance matrix is unknown and the measured value contains outliers, this paper proposes a robust adaptive UKF algorithm based on Support Vector Regression (SVR). The algorithm combines the advantages of support vector regression with small samples, nonlinear learning ability and online estimation capability of adaptive algorithm based on innovation. Firstly, the SVR model is trained by using the innovation in the sliding window, and the new innovation is monitored. If the deviation between the estimated innovation and the measured innovation exceeds a given threshold, then measured innovation will be replaced by the predicted innovation, and then the processed innovation is used to calculate the measurement noise covariance matrix using the adaptive estimation algorithm. Simulation experiments and measured data experiments show that SVRUKF is significantly better than the traditional UKF, robust UKF and adaptive UKF algorithms for the case where the covariance matrix is unknown and the measured values have outliers.     

VXI总线在导弹综合测试系统的应用

介绍了VXI总线系统的技术特点 ,阐述VXI总线技术在导弹综合测试系统的应用情况 ,详细描述了利用VXI总线组建的导弹测试系统的硬件及应用软件的设计 ,指出VXI总线技术在国防武器装备中具有广泛的应用前景。     

Integrated guidance and control of guided projectile with multiple constraints based on fuzzy adaptive and dynamic surface

Based on fuzzy adaptive and dynamic surface (FADS), an integrated guidance and control (IGC) approach was proposed for large caliber naval gun guided projectile, which was robust to target maneuver, canard dynamic characteristics, and multiple constraints, such as impact angle, limited measurement of line of sight (LOS) angle rate and nonlinear saturation of canard deflection. Initially, a strict feedback cascade model of IGC in longitudinal plane was established, and extended state observer (ESO) was designed to estimate LOS angle rate and uncertain disturbances with unknown boundary inside and outside of system, including aerodynamic parameters perturbation, target maneuver and model errors. Secondly, aiming at zeroing LOS angle tracking error and LOS angle rate in finite time, a nonsingular terminal sliding mode (NTSM) was designed with adaptive exponential reaching law. Furthermore, combining with dynamic surface, which prevented the complex differential of virtual control laws, the fuzzy adaptive systems were designed to approximate observation errors of uncertain disturbances and to reduce chatter of control law. Finally, the adaptive Nussbaum gain function was introduced to compensate nonlinear saturation of canard deflection. The LOS angle tracking error and LOS angle rate were convergent in finite time and whole system states were uniform ultimately bounded, rigorously proven by Lyapunov stability theory. Hardware-in-the-loop simulation (HILS) and digital simulation experiments both showed FADS provided guided projectile with good guidance performance while striking targets with different maneuvering forms.     

吸气式远程超声速防空导弹一体化外形设计的几个重大技术问题

根据国外吸气式超声速战术导弹一体化外形设计取得的最新进展 ,着重分析了这类导弹外形设计的特点和技术关键 ,提出了吸气式远程超声速防空导弹一体化外形设计中应解决好的几个重大技术问题 ,以期引起各方对吸气式防空导弹总体设计中有关问题的关注和讨论 ,共同寻找解决这些技术问题的有效途径     

An INS/GNSS integrated navigation in GNSS denied environment using recurrent neural network

In view of the failure of GNSS signals, this paper proposes an INS/GNSS integrated navigation method based on the recurrent neural network (RNN). This proposed method utilizes the calculation principle of INS and the memory function of the RNN to estimate the errors of the INS, thereby obtaining a continuous, reliable and high-precision navigation solution. The performance of the proposed method is firstly demonstrated using an INS/GNSS simulation environment. Subsequently, an experimental test on boat is also conducted to validate the performance of the method. The results show a promising application prospect for RNN in the field of positioning for INS/GNSS integrated navigation in the absence of GNSS signal, as it outperforms extreme learning machine (ELM) and EKF by approximately 30% and 60%, respectively.     

空军地面雷达信息综合技术

空军地面雷达信息综合技术研究是以面向防空作战任务的战场信息共享支持为目标,借助先进的通信体系结构和技术体制,将各级雷达信息有机地集成起来,形成一体化的战场信息共享支撑体系,以提高我军联合指挥控制能力.