通用型机载火控系统精度测试系统设计

分析了通用型机载火控系统精度测试系统的功能要求,介绍了基于PC104总线的通用型机载火控系统精度测试系统硬件的通用平台和基于测试模型的软件通用平台的设计方法,最后分析了系统设计的主要技术难点和解决方法.     

投放时机和投放位置对航空攻潜武器命中概率的影响

航空攻潜武器的投放时机和投放位置选择严重影响其对潜攻击效能.本文在建立了航空攻潜武器命中目标模型和目标机动运动模型的基础上,仿真分析了不同投放时机和投放位置下直升机悬停投雷、飞行投雷和投放航空自导深弹的命中概率.研究结果表明投放时机和位置的选择对攻潜武器命中概率有较大影响,对于提高航空攻潜武器命中率具有一定的参考价值.     

Error analysis of high-precision DEM generated from airborne dual-antenna interferometric SAR data

结合机载双天线干涉合成孔径雷达(InSAR)正侧视成像模型,分析了机载双天线InSAR数据处理中存在的影响数字高程模型(DEM)高程精度和点位精度的主要因素,包括平台高度、斜距、干涉相位、基线长度、基线倾角、中心多普勒频率以及载机姿态,着重分析了平台高度、基线长度、基线倾角以及侧视角等因素的变化与DEM误差之间的关系.选用机载双天线InSAR数据进行了干涉实验,并对生成的DEM进行了误差分析,实验分析结果和误差定量分析的结果相一致.对机载双天线InSAR数据处理进行误差分析有利于提高DEM的高程和点位精度,也有利于机载双天线InSAR系统设计及飞行试验设计,因而具有重要实用意义.     

前置跟踪射击瞄准误差研究

通过分析机载火控系统在前置跟踪状态下的瞄准误差源,定量地给出了瞄准误差模型.为衡量飞行员飞行素质、评价飞行训练质量提供了一个重要依据.     

机载火控系统智能检修设备的设计

介绍了基于PC的机载火控系统智能检修设备的设计思想,重点讨论了检修设备的硬软件实现方法.在软件部分阐述了利用VC控件MSComm编程实现串口通信的方法.系统精度和自动化程度高,具有良好的通用性,可方便地推广应用到新型机载火控系统上.     

基于数据库模型的某型机载火控系统外场检查系统设计

介绍了一种基于PC／104总线的某型机载火控系统外场检查系统的硬件结构和软件设计方法。详细说明了用层次数据库描述某型机载火控系统检测模型的方法,并描述了如何用面向对象方法设计测试程序。     

机器人定位精度标定技术的研究

机器人末端位姿的精度依赖于各连杆几何参数的精度。为了提高机器人的位姿精度，需要对机器人进行标定，为此必须研究机器人运动学模型的建立方法。基于MDH模型和微分运动学，识别出机器人的各个连杆几何参数误差对机器人位姿精度影响程度，并结合最小二乘算法，对机器人的定位精度进行修正。实验表明，该方法适合对机器人几何参数误差的标定，并且能够提高机器人的综合性能。     

精度关系的仿真与舰炮火控系统反应时间的关系分析

精度和反应时间在舰炮作战指挥中总是相互矛盾的,在对精度关系的仿真和舰炮火控系统反应时间的关系分析中,只能对误差大小的适度性加以保证从而获得良好的精度以及反应时间。     

频域分解模态识别方法的阻尼识别精度研究EI北大核心CSCD

在模态参数识别中,模态阻尼比往往比固有频率、振型参数更难被准确识别。为了提高频域分解模态识别方法的阻尼识别精度,分析了算法中产生误差的主要因素,提出了采用自回归模型谱估计代替原有周期图谱估计的改进方法。开展了仿真算例研究,以白噪声激励下结构的振动响应为输入条件,使用频域空间域分解法进行模态参数识别。算例结果验证了采用基于自回归模型的谱估计代替原有的周期图法谱估计,既保留了对密频模态的分辨能力,又提高了阻尼参数的识别精度,且在采样数据长度较短的情况下具有优越性。     

机枪结构动态特性的优化研究

利用Ansys有限元分析软件对建立的有限元模型进行了模态分析,通过对设计变量、状态变量和目标函数的合理选择建立了优化模型,对机枪的机构参数进行了优化.建立了某机枪的有限元实体模型,在模态分析的基础上优化武器的机构动态特性.求解了机枪的自由模态参数,与试验模态分析所得到的模态参数进行了对比验证,通过结构优化得到了结构修改方案.机枪的有限元模型通过优化结构参数提高了机枪的结构动态特性,武器的射击频率与机枪整体结构的固有频率匹配更加合理,提高了武器的射击精度.     

考虑身管柔性的坦克行进间发射动力学研究

针对弹丸起始扰动会影响坦克行进间射击密集度问题,建立身管柔性的坦克行进间发射动力学模型;考虑弹丸动不平衡及质量偏心、弹炮相互作用、弹炮间隙,建立坦克行进间射击弹丸膛内运动方程;编制行进间射击的坦克发射动力学仿真程序,获得某坦克行进间射击弹丸膛内运动规律及千米立靶密集度,并试验验证仿真结果。该结果可为提高坦克行进间射击精度提供理论基础与仿真手段。     

Probability-based predictive self-healing reconfiguration for shipboard power systems

The electric power systems in US Navy ships supply energy to sophisticated systems for weapons, communications, navigation and operation. During battle, various weapons may attack a ship causing severe damage to the electrical system on the ship. This damage can lead to de-energisation of critical loads which can eventually decrease a ship's survivability. It is very important therefore to maintain the availability of power to the loads that keep the power system operational. There exists technology for ships that can detect incoming weapons. This knowledge can be used to determine reconfiguration actions which can be taken before the actual hit to reduce the damage to the electrical system when the weapon hits. Then reconfiguration for restoration can be performed after the hit to reconfigure loads de-energised by the damage from the hit. A new automated probabilistic predictive self-healing methodology to determine such reconfiguration control actions is presented. Implementation of these actions will lead to less damage caused by a weapon hit and can considerably improve a ship's chances of surviving an attack. This probabilistic approach entails three major functions: weapon damage assessment, pre-hit reconfiguration before a weapon hit for damage reduction and reconfiguration for restoration after a weapon hit to restore de-energised loads. A case study is presented to illustrate the new methodology     

Multiple models track algorithm for radar with high pulse-repetition frequency in frequency-modulated ranging mode

When the airborne fire control radar operates with the high pulse-repetition frequency (PRF) in the frequency-modulated ranging mode, the range measurement is ambiguous. Here, the problem of target range estimation and ambiguity resolving is converted to the problem of static multiple models estimation and decision. Frequency and pseudo-range measurements are used to update each model of the target with the probabilistic data association and tracking filter. The method to select the PRF used to detect the target is also suggested according to the state estimates of the survived models. Simulation results demonstrate the improved accuracy and convergence when compared with the conventional methods     

多冲击声源定位算法

为了解决导弹、空投鱼雷等各种类型物体入水点精确定位问题,针对多个冲击声源产生的复杂抵达序列,提出先排序组合定位,再对最小方差项排序,然后用组合关联模型选取最优解组合的算法,实现对多个冲击声源目标的精确定位.误差分析给出了阵位误差和测时误差对定位精度的影响.仿真测试了13枚弹头在130m×30ｍ区域内、1s时间内均匀分布的冲击定位情况,13点定位误差与阵位预置误差基本相当,并且,冲击区域在阵中心时的定位精度高于冲击区域在阵边缘时的定位精度.港内试验验证了该算法能够有效地对多个点进行解算定位,其定位精度在5m以内.     

吊仓双视场CCD电视跟踪测量系统研究

为减少或避开地球表面稠密大气层对可见光、红外辐射背景以及减少地面杂电波的严重干扰，从空中直接摄取与精密跟踪测量动态目标的光辐射及电波特性具有十分重要意义。国外机载，弹工及星载等先进测量手段皆采取了避开大气层的测量模式，本文设计了一种适用于飞机吊仓使用的ＴＶ跟踪测量系统，特别是从地面上直接遥控空中机载ＴＶ测量设备，采用双镜头双视场共用一个ＣＣＤ接收器件进行二档大变双视场自动变焦技术以便能获取高清晰度     

新型光学动态靶标模拟空间目标研究

  光学动态靶标是用于对光电经纬仪进行室内检测的重要设备.为检验新型光学动态靶标模拟空间飞行目标的能力,衡量其检测性能,验证其结构优点,利用Matlab软件模拟靶场常用飞行轨迹,对多种形式空间飞行目标进行仿真计算.得出靶标在模拟空间目标过程中各种参数的变化曲线,包括角度变化曲线、速度变化曲线以及加速度变化曲线;同时利用已有数据,拟合靶标俯仰角度误差曲线.仿真结果显示,新型动态靶标的速度、加速度匹配灵活,模拟目标区域广阔,模拟目标形式多样,且更加接近真实目标,与传统靶标相比,具有明显的创新性和实用性,其性能能够满足光电经纬仪室内检测的需要.利用靶标俯仰角误差曲线进行实时误差补偿的方法,为进一步提高靶标精度提供理论参考.     

A novel application of a microaccelerometer for target classification

This paper presents a novel method of target classification by means of a microaccelerometer. Its principle is that the seismic signals from moving vehicle targets are detected by a microaccelerometer, and targets are automatically recognized by the advanced signal processing method. The detection system based on the microaccelerometer is small in size, light in weight, has low power consumption and low cost, and can work under severe circumstances for many different applications, such as battlefield surveillance, traffic monitoring, etc. In order to extract features of seismic signals stimulated by different vehicle targets and to recognize targets, seismic properties of typical vehicle targets are researched in this paper. A technique of artificial neural networks (ANNs) is applied to the recognition of seismic signals for vehicle targets. An improved back propagation (BP) algorithm and ANN architecture have been presented to improve learning speed and avoid local minimum points in error curve. The improved BP algorithm has been used for classification and recognition of seismic signals of vehicle targets in the outdoor environment. Through experiments, it can be proven that target seismic properties acquired are correct, ANN is effective to solve the problem of classification and recognition of moving vehicle targets, and the microaccelerometer can be used in vehicle target recognition.     

ia-PNCC: Noise Processing Method for Underwater Target Recognition Convolutional Neural Network

Underwater target recognition is a key technology for underwater acoustic countermeasure. How to classify and recognize underwater targets according to the noise information of underwater targets has been a hot topic in the field of underwater acoustic signals. In this paper, the deep learning model is applied to underwater target recognition. Improved anti-noise Power-Normalized Cepstral Coefficients (ia-PNCC) is proposed, based on PNCC applied to underwater noises. Multitaper and normalized Gammatone filter banks are applied to improve the anti-noise capacity. The method is combined with a convolutional neural network in order to recognize the underwater target. Experiment results show that the acoustic feature presented by ia-PNCC has lower noise and are well-suited to underwater target recognition using a convolutional neural network. Compared with the combination of convolutional neural network with single acoustic feature, such as MFCC (Mel-scale Frequency Cepstral Coefficients) or LPCC (Linear Prediction Cepstral Coefficients), the combination of the ia-PNCC with a convolutional neural network offers better accuracy for underwater target recognition.     

基于机电-刚柔耦合特性的进给系统动态误差影响因素分析

进给系统动态误差是决定数控机床加工精度的关键因素,明确机械系统和控制系统参数以及两者之间耦合作用对进给系统动态误差的影响是当前面临的重要课题。以某五轴联动加工中心的进给系统为研究对象,充分考虑进给系统传动件结合面间刚度和滚珠丝杠柔性特征,搭建了进给传动系统动力学模型,并利用有限元软件进行了验证。利用典型三环PID（proportion integration differentiation,比例积分微分）控制结构搭建了机电-刚柔耦合进给系统动力学模型,通过仿真分析研究了机械系统参数和控制系统参数对进给系统动态误差的影响规律。结果表明,机械系统参数中,滚珠丝杠导程和螺母副轴向刚度对进给系统动态误差的影响显著,支撑轴承轴向刚度的影响不明显;控制系统参数中,位置环比例增益对进给系统动态误差的影响显著,速度环比例增益的影响不明显。研究结果为实现进给系统动态误差的可预知和可控性奠定了理论基础。     

时栅转台自动标定系统的研究

提出一种自动检测时栅转台误差、辨识误差模型系数和误差补偿的方法。该系统利用自制的数控控制箱结合嵌入式技术,以高精度的圆光栅作为基准量仪, 以双微控制器与上位机为基础,形成双闭环控制结构,实现系统的高精度定位。在对极点8个待定参数和对极内20个待定参数分别进行傅里叶变换的参数辨识,得到辨识误差模型的系数,实现了实时在线误差补偿。实验结果表明,时栅转台的精度达到2.4″,提高了时栅转台标定精度与标定效率。