基于分布式模型预测控制的多UAV协同区域搜索

针对多无人机(UAV)协同区域搜索问题展开研究。提出了一种基于分布式模型预测控制(DMPC)的多UAV分布式优化搜索方法。首先基于传统的搜索图模型,建立了多UAV协同搜索的问题描述和状态空间模型,然后在DMPC框架下,将集中式多UAV在线优化决策问题转化为各架UAV的小规模分布式优化问题,采用基于纳什最优和粒子群优化(PSO)相结合的算法实现对每个子系统优化问题的迭代求解。仿真结果表明:DMPC方法能够有效地降低多UAV协同搜索决策问题的求解规模,是一种可行的方法。     

用于非线性跟踪问题的一种新的粒子滤波器

机动目标跟踪系统通常是非线性而且不完全观测的 ,所以问题的关键在于每一时刻的目标机动性都是高度不确定的。提出了一种新的平滑粒子滤波算法 ,该算法在粒子滤波器中加入了对系统模型的概率分布密度的平滑处理 ,从而很好的解决了目标的机动性估计问题。在仿真研究中 ,与辅助粒子滤波器的比较验证了本文算法处理非线性跟踪问题的优越性     

粒子群优化算法在微型无人机设计中的应用

针对一种翼展为550mm的电动力微型无人机的优化设计问题．对粒子群优化算法进行了改进，弥补了原来算法当最优解在设计变量上下限边界时无法找到最优解的缺陷，然后对电动力无人机的电池容量的优化选取进行了探讨，最后对该机进行了研制和试飞。由试飞结果可知，该机的留空时间为68min，与优化计算结果十分相近，证明了优化计算结果的可行性和高精度。     

Why should the latitude of the observer be considered when modeling gradual proton events? An insight using the concept of cobpoint

The shape of flux profiles of gradual solar energetic particle (SEP) events depends on several not well-understood factors, such as the strength of the associated shock, the relative position of the observer in space with respect to the traveling shock, the existence of a background seed particle population, the interplanetary conditions for particle transport, as well as the particle energy. Here, we focus on two of these factors: the influence of the shock strength and the relative position of the observer. We performed a 3D simulation of the propagation of a coronal/interplanetary CME-driven shock in the framework of ideal MHD modeling. We analyze the passage of this shock by nine spacecraft located at ∼0.4 AU (Mercury’s orbit) and at different longitudes and latitudes. We study the evolution of the plasma conditions in the shock front region magnetically connected to each spacecraft, that is the region of the shock front scanned by the “cobpoint” (Heras et al., 1995), as the shock propagates away from the Sun. Particularly, we discuss the influence of the latitude of the observer on the injection rate of shock-accelerated particles and, hence, on the resulting proton flux profiles to be detected by each spacecraft.     

Perspective on space radiation for space flights in 2020–2040

The Sun undergoes several well known periodicities in activity, such as the Schwabe 11 year cycle, the Gleissberg 80–90 year cycle, the Suess 200–210 year cycle and the Halstatt 2200–2300 year cycle. In addition, there is evidence that the 20th century levels of solar activity are unusually high. The years 2020–2040 are expected to coincide with increased activity in human space flight beyond low Earth orbit. The solar cycles and the present level of solar activity are reviewed and their activities during the years 2020–2040 are discussed with a perspective on space radiation and the future program of space flight. It is prudent to prepare for continuing levels of high solar activity as well as for the low levels of the current deep minimum, which has corresponded to high galactic cosmic ray flux.     

Review on latest progress on supergiant fast X-ray transients and future direction

In the recent years, the discovery of a new class of Galactic transients with fast and bright flaring X-ray activity, the supergiant fast X-ray transients, has completely changed our view and comprehension of massive X-ray binaries. These objects display X-ray outbursts which are difficult to be explained in the framework of standard theories for the accretion of matter onto compact objects, and could represent a dominant population of X-ray binaries. I will review their main observational properties (neutron star magnetic field, orbital and spin period, long term behavior, duty cycle, quiescence and outburst emission), which pose serious problems to the main mechanisms recently proposed to explain their X-ray behavior. I will discuss both present results and future perspectives with the next generation of X-ray telescopes.     

多段翼积冰的数值模拟及防冰预测

为研究飞行器翼面积冰预测问题,通过对积冰形成机理的分析,提出了基于经典Messinger模型的积冰表面传质传热的改进模型;通过引入对多段翼空气流场的插值计算,建立了多段翼翼面积冰预测模型;考虑防冰系统向翼面控制体带入的等效热功率,提出了防冰条件下的积冰预测方法.通过对算例的分析对比,数值模拟计算结果与实验数据基本吻合,表明本文提出的结冰计算模型合理,能够用来进行积冰预测分析,为进一步研究翼面结冰后的飞行动力学问题及防除冰系统的设计奠定了基础.      

基于满意度的贮备多阶段任务系统可靠性优化

分析了多阶段任务系统成功运行的条件;在冷贮备系统的可靠性计算模型的基础上提出了单元是二态,失效率服从指数分布的冷贮备多阶段任务系统的可靠性计算模型;建立了系统可靠度、体积、重量和价格的子满意度函数,并利用层次分析法确定各个子满意度函数的影响因子;构建了基于综合满意度函数的贮备多阶段任务系统可靠性冗余优化模型,应用微粒群算法对模型进行求解.算例通过一个3个阶段的冷贮备系统来阐述该方法的应用,并验证了模型的合理性及算法的有效性.      

描述颗粒沉积动力学演变过程的一种随机算法

为了解决普通Monte Carlo算法计算精度和计算代价无法协调的矛盾,发展了一种新的多重Monte Carlo(MMC)算法求解考虑多分散性颗粒沉积的通用动力学方程,该算法引入加权虚拟颗粒的概念,基于时间驱动MonteCarlo技术,模拟过程中保持虚拟颗粒数目和计算区域体积不变。首先详细介绍了考虑颗粒沉积的MMC算法,包括时间步长的设置、颗粒是否沉积的判断、沉积后果的处理等。然后选定三个存在理论分析解的特殊工况对MMC算法进行验证,数值模拟结果与相应的理论分析解符合很好,表明该算法具有较高的计算精度,同时该算法计算代价很小。