安全阀性能检测系统的测量不确定度

分析了安全阀性能检测系统中的主要误差因素，对安全阀动作性能和排量系数的测量不确定度进行了初步计算。     

A novel approach for predicting inlet pressure of aircraft hydraulic pumps under transient conditions

Cavitation caused by insufficient suction is a major factor that influences the life of aircraft pumps. Currently, pressurizing the tank can solve the cavitation problem under steady large-flow conditions. However, this method is not always effective under transient conditions (from zero flow to full flow in a very short time). Moreover, to apply and design other measures, such as a boost impeller, the suction dynamics during the transient period must be investigated. In this paper, a novel approach based on the pressure wave propagation theory is proposed for predicting the inlet pressure of an aircraft pump under transient conditions. First, a dynamic model of a typical aircraft pump is established in the form of differential equations. Then, the transient flow model of the inlet line is described using momentum and continuity equations, and the governing equations are discretized by the method of characteristics and the finite difference method. The simulated results are in good agreement with the results from verification tests. Further simulation analysis indicates that the wave velocity and transient time may influence the inlet and reservoir pressure as well as the size of the inlet line. Finally, solutions for upgrading the inlet pressure are discussed. These solutions provide guidelines for designing inlet installations.     

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.     

Application in prestiction friction compensation for angular velocity loop of inertially stabilized platforms

To overcome the influence of the nonlinear friction on the gimbaled servo-system of an inertial stabilized platforms(ISPs) with DC motor direct-drive, the methods of modeling and compensation of the nonlinear friction are proposed. Firstly, the inapplicability of LuGre model when trying to interpret the backward angular displacement in the prestiction regime is observed experimentally and the reason is deduced theoretically. Then, based on the dynamic model of direct-drive ISPs, a modified LuGre model is proposed to describe the characteristic of the friction in the prestiction regime. Furthermore, the state switch condition of the three friction regimes including presliding, gross sliding and prestiction is presented. Finally, a composite compensation controller including a nonlinear friction observer and a feedforward compensator based on the novel LuGre model is designed to restrain the nonlinear friction and to improve the control precision. Experimental results indicate that compared with those of the conventional proportion–integration–differentiation(PID) control method and the PID plus LuGre model-based friction compensation method, the dwell-time has decreased from 0.2 s to almost 0 s, the position error decreased to 86.7%and the peak-to-peak value of position error decreased to 80% after the novel compensation controller is added. It concludes that the composite compensation controller can greatly improve the control precision of the dynamic sealed ISPs.