全台压气机实验数据采集处理自动化

1.引言 压气机实验提出了更高的要求,测试系统不仅只具有数据采集的功能,而且是一个集控制、数据采集、实时处理、打印、绘图等于一体的多功能自动化测试系统。以此为目的,建立了一个以IBM PC/XT微型计算机为中心控制机的适于全台压气机实验的多功能大型数据采集处理自动化系统。     

矩形风洞收缩段流场的计算和分析

本文结合西工大低速风洞设计进行了矩形三元收缩段流场的计算和分析,计算采用差分方法和贴体坐标,以AF1格式进行离散化并利用ADI方法求解。对三种常用的收缩曲线(即Witozinsky曲线,五次方曲线和双三次方曲线)的三元流场进行了具体计算和比较。计算结果正确反映了三元收缩段流动的特点,给出了流动三元性对壁面逆压梯度和出口均匀性影响的数值结果,表明本文方法是三元收缩段设计的有效分析和设计手段。     

Automated air defense system using knowledge-based system

The proposed KAAD (knowledge-based automated air defense) system demonstrates a man-machine environment for airspace defense systems. When the unknown aircraft is hostile, a threat rating and response methods are generated by the system. It serves as a double-check decision-making system for a war control center. In addition to this application, the KAAD system can also be a useful tool as a training program for the war controller. The capabilities of the system are limited due to the shortage of knowledge resources. It requires communications among war controllers and air fighter pilots to organize a practical knowledge base. It is shown that the KAAD system can be combined with an automated ATC (air traffic control) system to become a practical system for air defense applications     

发动机故障诊断主状态量模型的数学模型

发动机故障诊断的一种主要方法是根据故障方程和发动机性能参数的测量值确定故障的类别和故障程度,故障方程组通常是亚定的。主状态量模型是求解亚定的故障方程的有效方法。主状态量模型的主要内容是根据最少故障原理,利用最优化方法求解然后根据合理性准则选择合理最优解。本文详细地讨论了主状态量模型可能采用的数学模型,并且指出:(1)主状态量模型可以采用不同的数学模型求解;(2)并非所有的数学模型都能给出合理的结果。本文的研究结果表明,约束或无约束超定最小二乘法和单个优选的散度法是发动机故障诊断主状态量模型的理想算法,而本文中所讨论的其他算法都或多或少存在一定的问题。     

发动机故障诊断主状态量模型合理解的选择

主状态量模型是基于发动机故障方程的发动机故障诊断的一种十分有效的方法,它在发动机故障诊断上的成功应用已为大量实例所证实。发动机故障诊断主状态量模型的一个技术关键就是合理解的选择问题。本文给出了选择合理解的基本原则。这些原则可以有效地提高合理解选择的确定性和故障诊断的故障分辨率。对于JT9D发动机的大量故障实例利用主状态量模型(加权最小二乘法)进行了检验。故障诊断的成功率达90%以上,并且得到了许多有用的信息,文中给出了24个实例的故障诊断结果以及故障趋势分析的典型例子。     

Galileo Probe Nephelometer experiment

The objective of the Nephelometer Experient aboard the Probe of the Galileo mission is to explore the vertical structure and microphysical properties of the clouds and hazes in the atmosphere of Jupiter along the descent trajectory of the Probe (nominally from 0.1 to > 10 bars). The measurements, to be obtained at least every kilometer of the Probe descent, will provide the bases for inferences of mean particle sizes, particle number densities (and hence, opacities, mass densities, and columnar mass loading) and, for non-highly absorbing particles, for distinguishing between solid and liquid particles. These quantities, especially the location of the cloud bases, together with other quantities derived from this and other experiments aboard the Probe, will not only yield strong evidence for the composition of the particles, but, using thermochemical models, for species abundances as well. The measurements in the upper troposphere will provide ground truth data for correlation with remote sensing instruments aboard the Galileo Orbiter vehicle. The instrument is carefully designed and calibrated to measure the light scattering properties of the particulate clouds and hazes at scattering angles of 5.8°, 16°, 40°, 70°, and 178°. The measurement sensitivity and accuracy is such that useful estimates of mean particle radii in the range from about 0.2 to 20 can be inferred. The instrument will detect the presence of typical cloud particles with radii of about 1.0 , or larger, at concentrations of less than 1 cm³.Deceased.     

CFAR data fusion center with inhomogeneous receivers

Detection systems with distributed sensors and data fusion are increasingly used by surveillance systems. A system formed by N inhomogeneous constant false alarm rate (CFAR) detectors (cell-averaging (CA) and ordered statistic (OS) CFAR detectors) is studied. A recursive formulation of an algorithm that permits a fixed level of false alarms in the data fusion center is presented, to set the optimum individual threshold levels in the CFAR receivers and the optimum `K out of N' decision rule in order to maximize the total probability of detection. The algorithm also considers receivers of different quality or with different communication channel qualities connecting them with the fusion center. This procedure has been applied to several hypothetical networks with distributed CA-CFAR and OS-CFAR receivers and for Rayleigh targets and interference, and it was seen that in general the fusion decision OR rule is not always the best     

Improved strapdown coning algorithms

Three improved algorithms for strapdown attitude computation utilizing accumulated gyro increments from the previous and current update are developed and evaluated analytically under classical coning motion. The error criterion of Miller is derived directly from the rotation vector concept. The accuracy of updating rotation vector estimation can be improved at least two orders of magnitude as compared with those of conventional algorithms. The proposed algorithm is equivalent to increasing the number of gyro samples used in the conventional method and it requires less computer loading     

Modification of the SAR step transform algorithm

When the basic step transform algorithm is used to compress synthetic-aperture radar (SAR) signals in azimuth, the linear FM rate and sampling rate must satisfy certain tight constraints. In practice, these constraints cannot be satisfied and errors are introduced into the compressed SAR image. A modification is described of the basic step transform which incorporates interpolation and resampling into the algorithm. These changes allow the removal of the constraints and make the step transform more useful for the compression of real data. An autofocusing capability is also included, without introducing much additional complexity     

能量法及其试飞方法研究

在简要地回顾能量法并与经典的性能分析法作比较后，本文着重叙述能量法的试飞方法研究，实践证明，能量法的试飞方法是一种简单，有效的方法，能解决高速飞机能量有利的一些问题。