基于迭代学习观测器的无人机故障鲁棒控制

针对无人机在飞行时存在执行机构故障和外界干扰问题,建立了无人机的动力学模型和系统发生执行器故障时的模型,提出了一种将迭代学习观测器和鲁棒自适应控制相结合的容错控制方法.利用迭代故障观测器去观测无人机控制系统的状态并通过迭代实时跟踪执行器故障,给出了该观测器的收敛性分析,并在此基础上设计基于自适应增益的趋近律,实现系统鲁棒自适应控制.进一步基于Lyapunov方法从理论上证明了设计的容错控制器的鲁棒稳定性.使用无人机控制系统对方法进行验证,仿真结果验证了方法的有效性.     

基于仿真的技术保障装备体系效能评估方法

针对陆军技术保障装备体系效能评估需求,提出了基于仿真的技术保障装备体系效能评估方法框架,研究构建了技术保障装备体系效能评估指标体系,给出了指标参数值计算方法和指标权重确定方法,设计了技术保障装备体系效能仿真评估系统功能框架,为面向技术保障装备体系论证与优化的效能评估提供了方法和手段支撑.     

Reaction degree of composition B explosive with multi-layered compound structure protection subjected to detonation loading

The explosive reaction degree and protection from explosions are concerns in the military field.In this work,the reaction degree of the composition B explosive was investigated experimentally.Multi-layered compound structures were used as barriers to weaken the blast loads.A comprehensive experiment using a high-speed camera and image processing techniques,side witness plates,and bottom witness plates was presented.Using the experimental fragment velocities,fragment piercing patterns,and damage characteristics,the reaction degree of the explosive impeded by different multi-layered com-pound structures could be precisely differentiated.Reaction parameters of the explosive obstructed by compound structures were obtained by theoretical analysis and numerical simulations.Unlike the common method in which the explosive reaction degree is only distinguished based on the initial pressure amplitude transmitted into the explosive,a following shock wave reflected from the side steel casing was also considered.Different detonation growth paths in the explosive formed.Therefore,all these shock wave propagation characteristics must be considered to analyze the explosive response impeded by compound structures.     

Visual-attention gabor filter based online multi-armored target tracking

The multi-armored target tracking (MATT) plays a crucial role in coordinated tracking and strike. The occlusion and insertion among targets and target scale variation is the key problems in MATT. Most state-of-the-art multi-object tracking (MOT) works adopt the tracking-by-detection strategy, which rely on compute-intensive sliding window or anchoring scheme in detection module and neglect the target scale variation in tracking module. In this work, we proposed a more efficient and effective spatial-temporal attention scheme to track multi-armored target in the ground battlefield. By simulating the structure of the retina, a novel visual-attention Gabor filter branch is proposed to enhance detection. By introducing temporal information, some online learned target-specific Convolutional Neural Networks (CNNs) are adopted to address occlusion. More importantly, we built a MOT dataset for armored targets, called Armored Target Tracking dataset (ATTD), based on which several comparable experiments with state-of-the-art methods are conducted. Experimental results show that the proposed method achieves outstanding tracking performance and meets the actual application requirements.     

基于BP神经网络的防空C3I人机交互性能评估

阐述了BP神经网络的相关原理,建立了防空武器指挥自动化系统人机交互性能评估的指标体系,对应用人工神经网络解决防空武器指挥自动化系统人机交互性能评估的方法问题进行了探讨,并且给出了神经网络的评估模型及算法.通过实例证明该方法是可行的.     

自润滑弹带挤进过程中渗出油量的对比计算

从弹带的作用及特性出发, 通过数值计算和统计计算 2种方法计算了自润滑弹带挤进过程中的渗出油量,初步得出了渗出油量和行程之间的关系。这一问题的解决为自润滑弹带材料的选择提供了理论依据。通过对 2种算法的比较可知, 数值计算误差更小一些, 而统计计算对数学条件要求不太苛刻。     

密闭条件下干湿球温度表的测量精度分析

通过实验,对利用干湿球温度表观测密闭库房湿度所产生的偏差进行了分析,确定了偏差的范围和大小,并提出了在实际工作中修正偏差的方法。     

武器装备全寿命费用宏观控制的系统动力学模型

以武器装备作战能力差距为牵引,以全寿命周期阶段对作战能力的影响为主要依据,建立了基于系统动力学的武器装备全寿命费用控制分析模型,客观、合理地描述了全寿命周期各阶段之间的相互影响,并对武器装备全寿命费用宏观费用控制问题进行了仿真实验分析。     

基于ABA处理和幅度加权的频率捷变单脉冲雷达角闪烁抑制技术

针对频率捷变幅度加权角闪烁抑制方法进行改进,提出了一种基于ABA(amplitude-based angle)处理的幅度加权角闪烁抑制方法。首先将单个脉冲测角的结果限制在一定范围内,然后对多个脉冲测角的结果进行幅度加权,仿真表明这种方法在各种信噪比条件下的角闪烁抑制性能都要大大优于常规的幅度加权方法。     

箱装弹药堆积数字化管理模型及软件实现

通过对箱装弹药储存管理特点的分析,提出了堆积管理数字化的构想,给出了典型的弹药堆垛结构算法模型,进行了弹药堆积管理软件的初步设计。