某型坦克炮控系统数字化与随机最优控制实现

针对坦克炮控系统器件性能离散性大、温漂严重、实现现代控制算法困难等问题,采用DSP为控制核心,嵌入机内测试单元(BIT)和相应的外围电路,在现有系统各项指标参数的约束下实现某型坦克炮控系统数字化改造。在此基础上,引入随机最优控制算法和浮动基准坐标轴的系统设计方法,实现系统稳定精度、跟踪精度和火炮射角装定精度同时提高。为该型坦克全车数字化和在线故障诊断提供了底层支持。     

反坦克导弹仿真试验技术探讨

系统仿真是一项生命力旺盛的技术领域。目前已成功地应用于航空、航天、军事、医学、信息、生命科学、材料、先进制造等高新技术领域的系统论证、试验、分析、维护、辅助设计和人员培训等方面。我国制导兵器系统仿真近年来有长足的发展,通过建模和验模,进行数学仿真与半实物仿真试验研制积累了经验。但是系统仿真还是一项新技术,如何提高仿真的效率,保证仿真试验的置信度,还有很多新的课题,特别是标准化在解决这些问题里的作用。本文总结了有关反坦克导弹系统仿真的经验,并就有关问题进行了探讨,对制导兵器产品研制开展系统仿真工作,具有参考价值。     

直升机低空突防中威胁因素的作用距离

分析了武装直升机在实施低空突防时的主要威胁来源.通过对雷达探测原理和低空条件下雷达受到的限制分析及其威胁作用距离计算,阐明了低空探测时常规雷达的不足,介绍了目前新的低空电磁探测方式;通过红外探测、噪声探测的原理和特点研究,表明了这两种方式在直升机低空突防威胁中的重要性,计算了其作用距离;讨论了上述三种方式作用距离,计算结果可以为航迹规划中参考轨迹和安全走廊的确定提供了参考.     

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.     

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.     

圆形电流误差边界限定形式的永磁同步电机预测控制

针对图形边界限定形式的感应电机预测控制存在简洁、直观等优点,进一步考虑将该控制策略应用于永磁同步电机.预测控制将电机和逆变器作为一个系统整体考虑,以空间电流矢量为控制对象,直接产生逆变器的开关控制信号.基于永磁同步电机在转子磁场坐标系下的数学模型,推导出电流矢量导数的估测模型,进而预测出电流矢量的轨迹,根据最优电压矢量选择判据选定开关状态,完成基于圆形电流误差边界限定形式的永磁同步电机的预测控制算法.通过MATLAB/SIMULINK进行仿真,仿真结果证明了提出方法的有效性.     

军用车辆轮毂电机位置传感器故障检测及容错控制

针对电传动装甲车辆恶劣工况下轮毂电机位置传感器容易产生故障问题,基于脉振高频电压注入法构建了位置传感器故障检测及容错控制系统.通过分析故障时位置传感器输出信号出现的幅值不平衡故障或正交不完全故障,采用阈值检测法实现故障检测,并使电机由有位置传感器控制切换为无位置传感器控制.仿真及实验结果表明,故障发生时,系统能够迅速检...     

船体腐蚀图像匹配算法的研究

船体腐蚀图像分析是计算机图像处理在船体腐蚀领域的一个应用技术．该文主要研究了船体腐蚀中断层图像匹配算法的设计与实现．该算法对于研究船体腐蚀的形成和分析具有十分重要的意义．     

亥姆霍兹线圈磁场均匀性的研究

推导了亥姆霍兹线圈所产生的磁感应强度的计算公式,利用该公式进行了编程计算,研究了亥姆霍兹线圈在空间所产生的磁场分布规律．以１％均匀度为例给出了磁场均匀区与环半径（距离）之间的关系．     

神经网络在自行火炮发动机燃油系统故障诊断中的应用

在讨论神经网络快速算法的基础上,研究了自行火炮发动机燃油供给系统几种常见故障的诊断方法,并在发动机实际运行中进行试验,结果表明,神经网络的采用使诊断模型具有智能化特点,用于发动机故障诊断效果是明显的。