Spacecraft optimal rendezvous controller design using simulated annealing

A new global approach for rendezvous Linear Quadratic controller design is presented in this paper. Instead of solving the algebraic Riccati equation, a continuous simulated annealing (SA) algorithm is used to design rendezvous LQ controller. Optimization of one automatic rendezvous controller with 18 design parameters is illustrated. The results show that the SA algorithm can locate the global solution effectively and robust, besides a great number of global solutions have been obtained by the SA. The SA has demonstrated better performance than other optimization algorithms such as floating-coded Genetic Algorithm, Simplex method and Powell algorithm.     

高负荷跨音速复合气冷涡轮叶片的试验研究

在燃气涡轮研究所 ( GTE)的涡轮叶片综合冷却效果试验器上对四套大载荷跨音速复合式气冷涡轮叶片 (多种气膜孔方案 ) ,成功地进行了 2 90小时试验。试验结果表明 ,导叶在 2 - 8% ,动叶在 1- 6%宽广的冷气流量比范围内 ,具有良好的冷却特性。此外还分析了叶片参数对冷却效果的影响     

用Newton子迭代方法计算前飞旋翼粘性绕流

通过求解Navier-Stokes方程数值模拟了直升机旋翼前飞非定常流场，为了同时保证计算的时间精确性和计算效率，时间推进格式采用了双时间推进方法，在该方法中，子迭代过程由十分高效的LU-SSOR方法完成，且使子迭代过程成为Newton子迭代，空间上应用中心平均的有限体积法进行离散，为了模拟前飞桨时间的相对运动，网格布局采用了运动嵌套网格方法，应用本文方法对-悬停流场进行了数值计算，计算结果与实验吻合较好，尽管缺乏实验数据的验证，对-有升力前飞状态的数值模拟结果是可信的。     

快速凝固Al88Ce2Ni7Fe3非晶铝合金初生型晶化的研究

用X光衍射和透射电镜研究证实快速凝固Al88sCe2Ni7Fe3非晶铝合金晶化过程中的初期阶段为初生型晶化。初生相α－Al的结晶体积分数和纳米晶体尺寸随退火温度的升高表现出非同步增长行为：前者逐渐增加而后者变化不明显。不同退火态样品的小角X光散射结果表明，非晶基体中不断析出的纳米晶α－Al粒子，由开始的低温稀疏分布转向高温密集分布。根据实验结果，分析和讨论初生相α－Al的体积分数、晶粒数目、粒子尺寸及粒子分布在初生型晶化过程中的变化规律，为纳米晶α－Al粒子强化非晶基体提供了清晰的物理图像。     

现代飞机交流电源过电压保护问题探讨

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翼面结构雷达散射截面（RCS）的测量与分析

 影响飞机结构RCS值的因素很多。对于全金属结构的飞机,由于雷达波受到金属蒙皮的遮挡,其内部结构对飞机RCS的影响不大,几何外形及蒙皮材料的电磁特性是主要的影响因素,但对于在机体结构中采用了复合材料的情况就复杂多了。     

提高WP－11发动机起动高度的研究与实施

研究了ＷＰ－１１发动机点火高度从４０００ｍ提高到８０００ｍ的某些问题。详细讨论了点火高度的理论基础，并为ＷＰ－１１研制了一种可用的空中补氧点火装置，扩大了ＷＰ－１１发动机的使用范围。带着空中补氧点火装置的ＷＰ－１１发动机成功完成了高空舱试验和Ｙ－８飞机带飞实验。     

几何量纳米计量方法及仪器

几何量计量已经走进纳米空间,本文在讨论纳米计量的必要性、可能性和特殊性的基础上介绍并总结了几何量纳米计量的基本方法和仪器。     

先进工艺在飞机起落架制造中的应用

介绍了我国飞机起落架制造技术的发展概况及先进工艺在起落架制造过程中的应用。     

Blind adaptive decision fusion for distributed detection

We consider the problem of decision fusion in a distributed detection system. In this system, each detector makes a binary decision based on its own observation, and then communicates its binary decision to a fusion center. The objective of the fusion center is to optimally fuse the local decisions in order to minimize the final error probability. To implement such an optimal fusion center, the performance parameters of each detector (i.e., its probabilities of false alarm and missed detection) as well as the a priori probabilities of the hypotheses must be known. However, in practical applications these statistics may be unknown or may vary with time. We develop a recursive algorithm that approximates these unknown values on-line. We then use these approximations to adapt the fusion center. Our algorithm is based on an explicit analytic relation between the unknown probabilities and the joint probabilities of the local decisions. Under the assumption that the local observations are conditionally independent, the estimates given by our algorithm are shown to be asymptotically unbiased and converge to their true values at the rate of O(1/k/sup 1/2/) in the rms error sense, where k is the number of iterations. Simulation results indicate that our algorithm is substantially more reliable than two existing (asymptotically biased) algorithms, and performs at least as well as those algorithms when they work.