无人机爬升转弯航迹预测

信息获取、自动精确打击等使得无人机已成为不可缺少的武器。快速精确的航迹预测可以提高作战效率,提供及时、最优的冲突解决方案。针对无人机的优良特性,首先优化无人机的航迹模型,并对其可行性进行理论推导,重点研究了以最大功率爬升转弯过程,验证了优化后的过程优于普通爬升转弯模型。此航迹预测方法可以快速得出航迹特征点以及到达航迹特征点的时间。     

Identification method for helicopter flight dynamics modeling with rotor degrees of freedom

A comprehensive method based on system identification theory for helicopter flight dynamics modeling with rotor degrees of freedom is developed. A fully parameterized rotor flapping equation for identification purpose is derived without using any theoretical model, so the confidence of the identified model is increased, and then the 6 degrees of freedom rigid body model is extended to 9 degrees of freedom high-order model. Bode sensitivity function is derived to increase the accuracy of frequency spectra calculation which influences the accuracy of model parameter identification. Then a frequency domain identification algorithm is established. Acceleration technique is developed furthermore to increase calculation efficiency, and the total identification time is reduced by more than 50% using this technique. A comprehensive two-step method is established for helicopter high-order flight dynamics model identification which increases the numerical stability of model identification compared with single step algorithm. Application of the developed method to identify the flight dynamics model of BO 105 helicopter based on flight test data is implemented. A comparative study between the high-order model and rigid body model is performed at last. The results show that the developed method can be used for helicopter high-order flight dynamics model identification with high accuracy as well as efficiency, and the advantage of identified high-order model is very obvious compared with low-order model.     

"公寓"型LRU可靠性指标的预计法探讨

探讨了“公寓”型LRU可靠性预计的方法,“公寓”型LRU的电子元器件不属于同一系统,因此不能按“串联”型预计,如何预计则应进一步研究,本文提出了预计的3种方法。     

系统可靠性预计方法综述

系统可靠性预计是进行可靠性设计的基础,其主要价值在于为设计决策提供依据。本文阐明了系统可靠性预计的概念,分析了系统可靠性预计的基本过程,综述了系统可靠性的预计方法,介绍和评论了各自的优缺点和适用范围,并对预计方法的发展前景做了初步展望。     

航天器深空飞行中的遥控问题

分析了航天器深空飞行中与遥控工作密切相关的信息传输时延,分析了遥控工作面对的控制实时性、控制精度、控制验证等方面的问题;从遥控工作的控制方式、发令工作模式、遥控工作机制、发令时间补偿等方面提出了解决思路。     

波形记录仪触发延迟线性的实验研究

提出了使用正弦波激励评价触发延迟线性度和触发抖动的新方法,通过一个波形在有触发延迟和无触发延迟时,采集序列间的相位差对应的时间差来最终判定触发延迟结果。用该方法实现的触发延迟线性度测量方法,将触发延迟直接溯源到激励信号的频率量上,无需额外的精密延时器等装置,减少了测量环节,并且可以实现任意延迟的精确测量。以不同频率、不同触发延迟、不同采集速率下的实验结果的对比给出了触发延迟线性校准的结论性意见,同时验证了所述方法的有效性和切实可行性。     

测定平尾铰链力矩系数的试飞方法

在试飞中的了解决平尾下洗有无法测定的困难，提出了一种测定基本铰链力矩系数的方法－外推截矩法，并概述了铰链力矩系数及其导数的测量方法，简单介绍了下洗角，基本铰链力矩系数和最大铰链力矩的理论估算方法及几个有关参数的修正问题，还讨论了所测数据的精度以及由于最大铰链力矩数值可能引起的飞行限制。     

微型固体火箭发动机用短点火延迟点火器研究

短的点火延迟期对某些微型固体火箭发动机尤为重要。文中引用固相点火理论，在诸多向推进剂表面供热的方式中，着重分析了起重要作用的对流换热，认为提高点火燃气的流速能明显地提高点火燃气对推进剂表面的热交换率，使推进剂表面很快达到发火温度，在微型固体火箭发动机的短点火延迟点火器设计中应用了这一理论，并获得了理想的效果。     

DLR-F4翼身组合体的阻力计算

为了考察自行研发的CFD软件的计算能力和阻力计算精度，本文采用LU—SGS方法、MUSCL差分格式和Baldwin—Lomax代数湍流模型，数值模拟了AIAA阻力计算工作室提供的DLR—F4翼身组合体的绕流流场，综合分析了easel和case2的气动力的计算结果，并与NASA Christopher L．Rumsey采用CFL3D6．0和AFRL/VAAC Don W．Kinsey采用Cobalt60提供的两组计算结果以及AGARD提供的两种不同风洞的测力试验结果作了比较。计算结果表明，本文计算精度与国外CFD软件相当。为了提高激波，边界层干扰的模拟精度，今后要重点加强湍流模型的应用研究。     

Space weather: its effects and predictability

Terrestrial technology is now, and increasingly, sensitive to space weather. Most space weather is caused by solar storms and the resulting changes to the Earth's radiation environment and the magnetosphere. The Sun as the driver of space weather is under intense observation but remains to be adequately modelled. Recent spacecraft measurements are greatly improving models of solar activity, the interaction of the solar wind with the magnetosphere, and models of the radiation belts. In-situ data updates the basic magnetospheric model to provide specific details of high-energy electron flux at satellite orbits. Shock wave effects at the magnetopause can also be coarsely predicted. However, the specific geomagnetic effects at ground level depend on the calculation of magnetic and electric fields and further improvements are needed. New work on physical models is showing promise of raising geomagnetic and ionospheric predictability above the synoptic climatological level. This revised version was published online in August 2006 with corrections to the Cover Date.