Robust cubature Kalman filter method for the nonlinear alignment of SINS

Nonlinear initial alignment is a significant research topic for strapdown inertial navigation system(SINS).Cubature Kalman filter(CKF)is a popular tool for nonlinear initial alignment.Standard CKF assumes that the statics of the observation noise are pre-given before the filtering process.Therefore,any unpredicted outliers in observation noise will decrease the stability of the filter.In view of this problem,improved CKF method with robustness is proposed.Multiple fading factors are introduced to rescale the obser-vation noise covariance.Then the update stage of the filter can be autonomously tuned,and if there are outliers exist in the observations,the update should be less weighted.Under the Gaussian assumption of KF,the Mahalanobis distance of the innovation vector is supposed to be Chi-square distributed.Therefore a judging index based on Chi-square test is designed to detect the noise outliers,determining whether the fading tune are required.The proposed method is applied in the nonlinear alignment of SINS,and vehicle experiment proves the effective of the proposed method.     

Bionic stab-resistant body armor based on triangular pyramid structure

A stab-resistant substrate was designed and realized with a triangular pyramidal structure, inspired by the biological armor model in nature. The stab-resistance behavior and dynamic response mechanisms were studied through numerical simulation and experimental testing of a knife impacting a substrate, and an optimal structural design was obtained accordingly, with a tilted angle of 22.5° and optimal thickness of 1.2 mm. It was shown that the triangular pyramidal structure generated twice the internal energy of the knife than the flat substrate due to the dispersing effect of the structure. The force parallel to the inclination caused a significant scratch on the substrate surface, while the force perpendicular caused obvious substrate deformation. A new riveting method was used to form the total layer, which passed the GA 68—2008 standard. The stab-resistant clothing coupled with the reduced wearing burden could provide effective protection and avoid fatal injuries on security personnel working in dangerous environments. The method provided may enlighten the future design and manufacturing of stab-resistant clothing.     

基于遗传算法的航空兵出动架次计算方法

针对航空兵出动架次计算问题,基于资源受限项目调度理论进行问题描述和建模,以给定兵力对目标任务的最大出动架次为效能指标,分析影响因素和约束条件,建立了问题数学模型.根据问题模型特点,采用遗传算法进行求解,针对染色体编码问题,设计了一种扩展任务列表编码方法;针对初始解集求解问题,提出了一种基于优先规则的出动架次分配算法.并构建了航空兵出动架次计算仿真算例对问题模型和求解算法进行验证,实验结果表明,所提模型和算法能够有效求解大规模航空兵出动架次计算问题.     

CBM与IETM集成中的数据模型设计及运用

针对现有交互式电子手册(IETM-Interactive Electronic Technical Manual)与基于状态维修(CBM-Con-dition Based Maintenance)系统集成设计中对接口数据的特点类型、结构模式及运用过程缺乏规范化设计的不足,基于开放系统体系结构(OSA-CBM),对集成中的数据内容进行了统一建模,规范了OSA-CBM 6层数据类型与3级CBM系统、4种集成方式的相互关系.面向CBM与IETM集成应用,提出了3种数据结构模式及其运用过程,有效解决了集成接口中的数据模型设计问题.     

重评北洋时期冯玉祥治军

冯玉祥是从北洋军中普通一兵“起家”的高级将领,又是反抗北洋军阀“发家”的有代表性的军人。笔者认为冯玉祥在北洋时期的治军颇具特点,是对北洋军的“变异”。本文探讨其“变异”的原因,并指出冯玉祥治军存在着家长制的弊端。     

航天测控调度问题的拉格朗日启发式算法

通过分析航天测控调度问题的测控需求,建立了航天测控调度0-1整数规划模型,运用拉格朗日松弛方法对模型中的任务约束和设备约束进行了松弛,运用次梯度优化算法求得了航天测控调度问题上界,同时得到了决策变量对应的拉格朗日权重,可以作为决策变量在最优解中是否被调度的启发式信息,对拉格朗日权重进行分析,提出了求解问题可行解的拉格朗日启发式算法。最后,通过对两个场景的试验分析验证了拉格朗日启发式算法所求可行解的优越性。     

在"两课"教学中贯彻"三个代表"重要思想

在院校政治理论和思想品德课教学中,贯彻落实军委总政关于"七一"讲话"三进入"的指示精神,必须从"两课"教学课程体系、教材体系、教学方法、教学制度等方面全面渗透和贯彻"三个代表"重要思想,切实提高"两课"教学的质量.     

快轴伺服系统的设计与性能测试

研制了用于加工非回转对称光学元件的快轴伺服系统(FAS)的整体结构及其控制系统,系统具备较大行程和高工作频率,最大的行程可达到30mm。系统采用了音圈电机驱动的气体静压轴承技术、线性电流放大器、高分辨率编码器以及高速控制系统。对不同截面形状气浮导轨的静、动态特性进行了有限元分析。系统采用PID反馈和速度/加速度前馈控制方法来改善系统的动态性能。FAS系统0.1mm阶跃响应的上升时间为2ms,最大超调量为0.4%,稳态时间为4ms,对铝件进行超精密切削实验,表面粗糙度可达Ra24nm,实验结果表明系统具有较好的动态和切削特性。     

基于时间窗的宽带阵列多目标干扰资源调度

随着宽带数字阵列技术和有源干扰技术的不断发展和成熟,舰载有源干扰设备的未来发展方向将是宽带数字阵列有源干扰系统。针对多目标干扰问题,提出了目标干扰时间窗概念和两种时间窗的处理方法,并建立干扰资源调度模型,通过仿真计算和对比分析,得出基于模糊时间窗的资源调度模型性能优于基于硬时间窗的资源调度模型,能够对干扰资源进行合理的调度,提高宽带阵列多目标干扰能力。     

多平台雷达有源干扰资源分配算法

根据现代干扰机特点,建立"多对多"雷达有源干扰资源分配数学模型,结合分配算法的具体应用环境,提出了基于多Agent分布协同拍卖的雷达干扰资源分配算法,实例表明该方法可行。