航天器运输包装箱仿真验证平台技术研究

针对数量有限的物理跑车试验无法满足减振与保温性能测试需求的问题，提出一套航天器运输包装箱动力学与热学仿真验证方法，包括：建立适用于包装箱系统的刚柔耦合多体动力学系统，通过结合线路条件测试生成的动力学系统外部激励，实现减振性能虚拟跑车测试；建立基于计算流体力学的包装箱热学模型，通过模拟自然对流和空调控制，实现包装箱保温性能虚拟跑车测试；基于C/S架构和导航式流程设计思想，建立航天器运输包装箱仿真验证平台，通过实际案例证明该平台仿真结果与实际跑车测试数据具有较高的一致性。     

基于工程教育专业认证背景下地方特色院校“金课”建设的研究与探索

"金课"作为一项新提出不久的概念,许多重点院校和地方特色院校已经着手打造了一部分精品课程,主要是一些开放性课程和文法类课程,原因是这一类课程思维发散,教学手段多样,可以运用现代化信息技术手段采取线上线下教学模式。但是教育部推出的"金课"建设不单单只是针对于这些类课程,对于工科专业的课程建设,也需要打造"金课",尤其是以工程教育专业认证的标准和理念打造地方特色院校"金课",是我们这些地方特色工科院校需要重点研究和探索的。本文的研究重点在于如何把工程教育专业认证的理念与课程建设有机融合体现工科"金课"的"四性"。     

高背压等离子点火器及其液体燃料点火特性实验研究

航天应用的液体火箭发动机及燃烧型加热器燃烧室室压高、燃料流量大、温度低、有重复启动需求，实现安全可靠点火的难度较大。针对这些需求，研究了一种采用高背压设计的电弧等离子体点火器。实验研究了Ar，N₂气体工质在高进气压力下的伏安特性，发现N₂在宽压力范围内适用于点火。发射光谱分析表明，在高达数MPa的进气压力下，Ar，N₂等离子体射流电子密度符合局部热力学平衡判据（LTE判据），点火能量集中。N₂等离子体整体温度低于Ar，但阳极喷口附近温度高于Ar，N₂等离子体射流火焰长，卷吸沿程空气造成射流平均温度偏低，但有助于低温液体推进剂的蒸发混合和强化点火。等离子体射流引起了臭氧和氮氧化物的形成，具有促进点火和化学反应的作用。背压提高引起电源输出电压升高，提高供气压力和电流，有助于点火器在高背压环境中稳定电压。燃烧型空气加热器燃烧室的点火实验发现，采用N₂等离子体喷注面中心点火，可以在短时间内完成酒精-空气和酒精-液氧-空气的点火，最高燃烧室室压接近5MPa时，点火器仍能稳定工作，多次使用电极烧蚀不明显，在液体火箭发动机的重复可靠点火方面具有很好的应用前景。     

一种应用于超小型无人机的新型定高传感器

使用美国ICSENSOR公司的压阻硅式绝压传感器，对静压进行测量，并设计出适合超小型无人机使用的新型定高传感器，这种定高传感器具有灵敏度高，重量轻，单电源供电，板式结构。可靠性高，重复性好的特点，填补了应用于超小型无人机的定高传感器产品的空白。     

电连接器接点焊接工艺研究

针对航天产品电连接器接点焊点与引线断裂失效问题,分析了焊接过程中助焊剂、焊料、焊接工具和防护套等对接点焊接质量的影响。结合实践经验,提出相关工作参数和材料的选取原则,确定了生产中焊接技术的质量控制点。     

Almost instant time inference for hybrid partially dynamic Bayesian networks

A Bayesian network (BN) is a compact representation for probabilistic models and inference. They have been used successfully for many military and civilian applications. It is well known that, in general, the inference algorithms to compute the exact a posterior probability of a target node given observed evidence are either computationally infeasible for dense networks or impossible for general hybrid networks. In those cases, one either computes the approximate results using stochastic simulation methods or approximates the model using discretization or a Gaussian mixture model before applying an exact inference algorithm. This paper combines the concept of simulation and model approximation to propose an efficient algorithm for those cases. The main contribution here is a unified treatment of arbitrary (nonlinear non-Gaussian) hybrid (discrete and continuous) BN inference having both computation and accuracy scalability. The key idea is to precompile the high-dimensional hybrid distribution using a hypercube representation and apply it for both static and dynamic BN inference. Since the inference process essentially becomes a combination of table look-up and some simple operations, the method is shown to be extremely efficient. It can also he scaled to achieve any desirable accuracy given sufficient preprocessing time and memory for the cases where exact inference is not possible     

Performance evaluation for MAP state estimate fusion

This paper presents a quantitative performance evaluation method for the maximum a posteriori (MAP) state estimate fusion algorithm. Under ideal conditions where data association is assumed to be perfect, it has been shown that the MAP or best linear unbiased estimate (BLUE) fusion formula provides the best linear minimum mean squared estimate (LMMSE) given local estimates under the linear Gaussian assumption for a static system. However, for a dynamic system where fusion is recursively performed by the fusion center on local estimates generated from local measurements, it is not obvious how the MAP algorithm will perform. In the past, several performance evaluation methods have been proposed for various fusion algorithms, including simple convex combination, cross-covariance combination, information matrix, and MAP fusion. However, not much has been done to quantify the steady state behavior of these fusion methods for a dynamic system. The goal of this work is to present analytical fusion performance results for MAP state estimate fusion without extensive Monte Carlo simulations, using an approach developed for steady state performance evaluation for track fusion. Two different communication strategies are considered: fusion with and without feedback to the sensors. Analytic curves for the steady state performance of the fusion algorithm for various communication patterns are presented under different operating conditions.     

基于遗传算法的H∞混合灵敏度导弹解耦控制器设计及加权函数选择方法研究

导弹在大攻角再入飞行过程中,偏航通道和滚动通道存在着气动交连耦合,当耦合影响较大时,采用传统的把耦合项当作随机干扰的办法来处理,容易造成系统失稳。因此采用基于H∞混合灵敏度解耦控制的方法对通道间进行解耦,对于H∞混合灵敏度加权函数,通过遗传算法优化获得,并推导了H∞混合灵敏度标准型的建立过程和遗传算法优化加权函数的步骤。应用该方法,对导弹大攻角飞行过程中通道间的解耦控制进行设计。仿真表明,对参数不确定性的耦合系统,该方法具有良好的解耦性和鲁棒稳定性。     

风量与风机的安全运行

本文阐明了离心式通风机在通风除尘(或排毒净化)系统中的作用,以及离心式通风机产生风压.风量的工作工程,从而引出风机的性能参数风量L、风压P、功率N、效率η等.文章突出地论述了风量对风压、功率、效率的影响;详尽地分析了离心式通风机的性能曲线,特别是N—L曲线;根据性能曲线分析得知,风量L为零(L=0)时,风消耗的功率N最小.从而得出结论;系统中的离心式通风机必须是在关闭状态下启动,以确保通风机的安全运行.     

Dose equivalent, absorbed dose and charge spectrum investigation in low Earth orbit.

Particle intensity, dose equivalent and absorbed dose have been measured on board the space shuttle Endeavour during STS-108 in December 2001 by Dublin Institute for Advanced Studies (DIAS). The dose estimates are based on very accurate measurements of recoils produced in CR-39 by cosmic ray primary and secondary protons and heavier nuclei and by secondary neutrons. The corresponding LET spectra were used to determine dose equivalent and absorbed dose values. Estimates of the total flux of Z > or = 2 nuclei have been undertaken and a preliminary charge spectrum was measured. Some comparisons are made with preliminary data obtained on STS-105 (ISS Expedition) and other missions using CR-39 detectors.