计算机在光栅和线纹检测中的应用

介绍了一个将PC机和8031单片机组成的计算机系统应用于光栅尺、线纹尺检测的实例。     

运载火箭姿态系统自适应神经网络容错控制

针对运载火箭姿态系统跟踪问题,考虑干扰、执行器故障和模型不确定因素的影响,设计了一种基于自适应神经网络的非线性容错控制律。该控制算法结合了连续的终端滑模控制,径向基神经网络和自适应控制方法。首先,基于滑模控制理论,设计了一种快速终端滑模面,保证系统跟踪误差能够在有限时间收敛至零。然后,在终端滑模面基础上,提出了一种基于自适应径向基神经网络估计的终端滑模控制律。利用自适应参数的神经网络逼近系统参数并提高抗干扰性能,采用平滑连续控制策略消除了终端滑模中的颤动现象。通过李雅普诺夫的分析方法证明了闭环系统的收敛性和全局稳定性。采用数值仿真,验证了提出的基于自适应径向基神经网络的终端滑模控制律具有较好的跟踪性能和精度。     

线性尺寸未注公差标准演变及应用

从实际应用的角度出发，阐述了线性尺寸未注公差各标准的演变和主要特点，并提出了在机械加工应用中具有简明、省时、质优等特点。     

宽角扫描圆极化相控阵天线轴比的优化设计

文章推导了椭圆极化的分解表示方式，从理论上给出了优化天线轴比的方法。给出了几个实际天线的测试结果比较，验证了该方法的可行性。     

Vision-based bio-inspired guidance law for small aerial vehicle

During predation, a flying insect can form a stealth flight path. This behavior is called motion camouflage. Based on the study results of this behavior, the perception and neurology of flying insects, a novel bio-inspired guidance law is proposed for the terminal guidance for small aerial vehicle with charge-coupled device imaging seekers. The kinematics relationship between a small aerial vehicle and target is analyzed, and a two-dimensional guidance law model is established by using artificial neural networks. To compare with the proportional guidance law, the numerical simulations are carried out in the vertical plane and in the horizontal plane respectively. The simulation results show that the ballistic of the small aerial vehicle is straighter and the normal acceleration is smaller by using the bio-inspired guidance law than by using the proportional guidance law. That is to say, the bio-inspired guidance law just uses the information of the target from the imaging seeker,but the performance of it can be better than that of the proportional guidance law.     

JPEG有损压缩图像保留格式加密研究

本文针对JPEG格式有损压缩图像加解密过程中图像数据损失较大的问题,提出了基于码流方式的保留格式加解密算法,并对JPEG图像加密算法的处理效果、效率及安全性进行了测试。通过实验发现,本文算法能够获得较好的JPEG有损压缩图像的保留格式加密效果。     

传感器安装对爆炸冲击测试结果影响的试验研究

为了找到爆炸冲击测试结果精确度的影响因素,利用轻气炮冲击试验装置作为冲击源,设计了专用对比工装,模拟安装过程中的实际操作因素的影响程度。以压阻式传感器为研究对象,以激光多普勒测振仪校准结果为基准,对比耦合剂种类、连接螺栓规格、表面粗糙度、安装力矩以及传感器安装数量等因素对测试结果的影响。结果表明前4种因素对冲击测试的影响较小,均在3 dB的容差范围以内;而传感器安装数量和与被测对象的连接方式对冲击测试结果影响较大。     

A salient edges detection algorithm of multi-sensor images and its rapid calculation based on PFCM kernel clustering

Multi-sensor image matching based on salient edges has broad prospect in applications, but it is difficult to extract salient edges of real multi-sensor images with noises fast and accurately by using common algorithms. According to the analysis of the features of salient edges, a novel salient edges detection algorithm and its rapid calculation are proposed based on possibility fuzzy C-means （PFCM） kernel clustering using two-dimensional vectors composed of the values of gray and texture. PFCM clustering can overcome the shortcomings that fuzzy C-means （FCM） cluster- ing is sensitive to noises and possibility C-means （PCM） clustering tends to find identical clusters. On this basis, a method is proposed to improve real-time performance by compressing data sets based on the idea of data reduction in the field of mathematical analysis. In addition, the idea that kernel-space is linearly separable is used to enhance robustness further. Experimental results show that this method extracts salient edges for real multi-sensor images with noises more accurately than the algorithm based on force fields and the FCM algorithm; and the proposed method is on average about 56 times faster than the PFCM algorithm in real time and has better robustness.     

基于任务分析的飞行机组失误预测研究

在过去的20年内有多起严重事故由机组失误引起,采取措施防止或减少飞行机组失误成为降低航空事故率的关键.通过使用人误预测技术预测机组在执行飞行任务时的失误,寻找失误原因,进一步改进驾驶舱设计或增加培训来降低航空事故率是可行的方法.本研究以民航领域飞行安全需求为背景,在原有人误预测技术基础上,开发了基于任务分析的飞行机组失误预测模型,以某型飞机起飞任务为例,对飞行机组在操纵飞机起飞过程中可能发生的人误进行分析,实现了飞行机组失误的定性和定量预测.     

民机与民航产业投入产出分析

运用价值型投入产出模型,基于投入产出表,分析我国民机产业在国民经济中的地位、与各部门之间的相关联系、对其他部门的依赖性以及对国民经济的带动,并进一步与民航产业进行对比分析。研究结果进一步印证民机产业在国民经济发展中的重要性,为进一步争取国家政策支持提供理论基础和依据。