旋转固体火箭发动机内弹道理论与实验研究

本文系统地总结了我们在旋转固体火箭发动机内弹道理论与实验研究方面的某些成果，其中包括含铝丁羟推进剂的试片实验和装药发动机实验以及燃速敏感性预示和内弹道预示，得出了一些有益的结论，可供发动机设计及推进剂配方设计参考。     

动态推力频域恢复技术

介绍了固体火箭发动机静止试验动态推力的测量方法。首先对试验台架和发动机进行动态校准得到系统的响应函数，然后利用频率响应函数对试验过程中测到的输出力函数进行恢复，以获得真实的输入力函数。实践证明，频域恢复技术是有效的途径之一。     

固体发动机药柱粘结试件的三维应力分析

推进剂／衬层／绝热层矩形粘结试件已作为随发动机测试试件，用于监控药柱最薄弱的推进剂／衬层界面粘结质量。由于试件较厚，又材料具有粘弹特性，因此应对它进行三维粘弹性有限元分析。本文分析了推进剂／衬层界面附近的应力分布情况，并给出试件启裂点有效应力与拉伸平均应力之比的集中系数，供药柱结构完整性分析人员使用     

空空导弹的一种优化复合控制方案研究

通过研究空空导弹推力矢量和气动复合控制与一般气动控制方式，讨论了新一代近距格斗型空空导弹的一种控制模式，并参照某型导弹的数学模型及有关气动参数对两种控制方式进行了数字仿真。结果表明，在新一代格斗型空空导弹上采用复合控制方式可明显地改善导弹的总体性能。     

大机动飞行情况下姿态控制系统的设计

本文针对目前战术导弹广泛使用捷联系统这个现状,以及对大机动飞行器采用姿态角误差反馈进行控制有时出现的奇异问题,提出并研究了基于四元数进行大机动战术导弹姿态控制系统的设计问题.首先,给出了大机动飞行情况下基于四元数描述的弹体动力学模型,然后,基于非线性控制系统综合方法设计了姿态控制系统,并验证了系统的稳定性.研究结果表明,基于四元数进行姿态控制系统的设计,既解决了姿态角表示法存在的奇异性问题,又可减少捷联计算机的计算量,对战术导弹具有重要实际意义.最后,通过数值仿真验证了本文提出方法的有效性.     

惯性式低频振动传感器畸变波形恢复问题初探

水电机组振动是表征水电机组运行稳定性的主要指标之一。然而，水电机组转频太低，适合于使用测量低频振动信号的惯性式低频振动传感器。由于传感器本身频率特性，造成其输出波形的低频段必然产生较大的畸变。为了获得实测低频振动信号的真实波形，对振动传感器输出的畸变波形恢复问题进行了初步探讨。     

大型空间模拟器总体检漏技术

论述了大型空间环境模拟器的总体检漏技术,针对大型模拟器的特点,从设计、加工到安装调试等过程介绍了检漏方法的选择,并着重介绍了氦质谱检漏法可检灵敏度的分析,对大型模拟器的检漏方案进行了全过程的设计.     

扩展旋转矢量捷联姿态算法

给出了一种新的旋转矢量捷联姿态构造算法，该算法由陀螺样本的多重积分来构造旋转矢量的最小二乘估计。新算法具有较好的顺序递推结构，易于在机载计算机上编程实现，比传统方法更容易满足一些限制较多的特殊应用。文中还给出了该算法在机载计算机上的计算流程及算法的局部硬件化实现。     

Energy Spectrum of Galactic 10–100 MeV Protons in Quiet Sun Periods

The dynamics of the proton energy spectrum during the solar cycle is studied. The spectra were determined by 1–100 MeV particle fluxes measured by different instruments mounted aboard the Earth's IMP-8 satellite for more than one hundred quiet-time intervals in the period between 1974 and 1991. The galactic branch of the spectra (E _p > 10 MeV) constructed for every quiet interval was fitted by a power law function, J =CE . The theory predicts that in the 1–100 MeV energy range, where the adiabatic cooling of particles is dominant, = 1, while we have derived a double-peak distribution. The main maximum has the mean value = 1.35. The mean value of the second, much weaker maximum, is = 0.95. Within the main maximum, values are distributed in accordance with the Gaussian law with a standard deviation D/ = 0.12. The substantial difference of from unity requires the elaboration of a new model of modulation processes in the inner heliosphere. The values corresponding to the second maximum show that modulation processes correspond sometimes to theoretical conceptions. It is shown that correlates weakly with parameters A and describing the solar branch of the spectrum (J(E) = AE ^–). At the same time, a more significant correlation is observed between and the solar activity index, R _z, the counting rate of the Deep River neutron monitor, and the energy value in the minimum of the energy spectrum flux, E _min.     

Production of neutrons from interactions of GCR-like particles

In order to help assess the risk to astronauts due to the long-term exposure to the natural radiation environment in space, an understanding of how the primary radiation field is changed when passing through shielding and tissue materials must be obtained. One important aspect of the change in the primary radiation field after passing through shielding materials is the production of secondary particles from the breakup of the primary. Neutrons are an important component of the secondary particle field due to their relatively high biological weighting factors, and due to their relative abundance, especially behind thick shielding scenarios. Because of the complexity of the problem, the estimation of the risk from exposure to the secondary neutron field must be handled using calculational techniques. However, those calculations will need an extensive set of neutron cross section and thicktarget neutron yield data in order to make an accurate assessment of the risk. In this paper we briefly survey the existing neutron-production data sets that are applicable to the space radiation transport problem, and we point out how neutron production from protons is different than neutron production from heavy ions. We also make comparisons of one the heavy-ion data sets with Boltzmann-Uehling-Uhlenbeck (BUU) calculations.