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。     

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.     

1/spl phi/ 3W grid-connection PV power inverter with partial active power filter

This paper presents a single-phase three-wire (1/spl phi/ 3W) grid-connection photovoltaic (PV) power inverter with a of partial active power filter (PAPF) feature, which can not only deal with PV power but filter current harmonics and improve power factor. Once the processed power exceeds the switch ratings, the inverter can reduce its output reactive power and harmonic power, while still supplying the maximum real power generated by the PV arrays. In the derivation of control laws, a limit circle is defined to confine the output power of the inverter. To determine the power that the inverter can process, the instantaneous reactive power of a 1/spl phi/ 3W system is defined and used to calculate reactive power, which can avoid complex detections of phase angle and magnitude of the fundamental component of a nonlinear load current. Simulation results and experimental measurements have verified the proposed algorithm and the feasibility of the inverter.     

掠海飞行导弹击水概率的仿真研究

本文对掠海导弹的击水概率问题进行了研究,提出了用均匀设计、Monte—Carlo法和逐步回归法建立击水概率预报公式的仿真方法,并结合某型号的反舰导弹进行计算,得到了满意的结果。本文还利用表观频率和表观频谱的概念,建立起飞航导弹的背景干扰——海浪和阵风的数学模型,并用波叠加法进行了数字仿真。     

开放式飞行任务规划方法

本文给出了一种基于分布式黑板结构的开放式飞行任务规划方法，简要叙述了飞行器飞行任务规划的概念和其独特要求，并对飞行任务规划的数据预处理、知识表达、规划方法作了深入的探讨。最后介绍了分布式黑板的结构和运行方式。     

态势评估领域知识的表示方法研究

从分析态势评估专家系统的结构出发,研究战场态势评估知识库的构建,进而对态势评估的领域知识进行归纳,并通过示例探讨对态势评估领域知识的表示方法,同时把可信度方法引入态势评估不确定性知识的表示,给出了复合条件可信度的计算方法。     

空间相机中与大口径透镜有关的结构设计分析

某空间相机镜头在光学设计时，因透过率、吸收率等原因，为了满足光学系统要求，经过各方面平衡后，其中有一片透镜比正常径厚比设计的偏薄些。在镜头总体结构设计时，单独对该镜片及与之相配的结构件进行了有限元分析和实验检测，发现不同的结构形式对镜片面形影响不同。为了解决这一问题，在实验中进行了探讨，以保证整个相机系统满足空间相机的实用要求。     

氨电弧喷射推力器实验和数值研究

为了证实氨电弧喷射推力器良好的工作性能，对其进行了系统的实验和数值研究。在实验研究中建立了高真空实验系统、先进的小推力测量系统和恒定电流控制系统，在数值研究中采用二阶精度无波动、无自由参数的耗散差分格式(NND格式)数值求解耦合电磁源项的扩展N-S方程组。通过实验获得了不同结构尺寸的推力器不同工作条件下的工作性能，通过数值模拟给出了推力器的流场结构，预计了其推力、比冲和推进效率。研究结果表明，氨电弧喷射推力器工作性能良好，能够担负一定的空间应用任务。     

航空发动机用新材料——16Cr3NiWMoVNbE齿轮钢

综合介绍了新型齿轮钢--16Cr3NiWMoVNbE钢的性能、热工艺及其在航空发动机上的应用.该钢具有淬透性高、晶粒长大倾向低等优异的综合性能,其使用温度可达350℃.该钢的研制成功,满足了我国新一代航空发动机对齿轮材料的需求.