基于NFTET的高超声速飞行器鲁棒轨迹重构设计

考虑高超声速飞行器故障下安全再入飞行问题,针对飞行器发生较大故障的情况,提出了基于相邻可行轨迹存在定理(Neighboring feasible trajectory existence theorem,NFTET)的鲁棒在线轨迹重构算法。在标称情况下基于反馈线性化预测校正制导算法生成满足各种约束条件的再入轨迹;由于NFTET只适用于发生较小故障的情况,为保证较大故障下飞行器仍能以较高精度安全着陆,基于NFTET理论设计了鲁棒轨迹重构算法,得到了较高落点精度的飞行轨迹。仿真结果表明,本文所提出算法能有效解决飞行器较大故障下的安全再入轨迹重构问题,提高了飞行器的自主容错能力。     

临近空间高超声速目标滑跃式轨迹Sine-AIMM跟踪算法

针对单一的Sine模型算法无法与临近空间高超声速目标滑跃式轨迹准确匹配,现有的交互多模型(IMM)算法跟踪效果也不够理想的问题,提出一种基于多重贝叶斯准则的自适应交互式多Sine模型(Sine-AIMM)临近空间高超声速滑跃式目标跟踪算法.算法采用多个Sine模型对滑跃式轨迹进行匹配,并利用多重贝叶斯准则在线调整各模型...     

A swept fin-induced flow field with different height mounting gaps

In order to apply the air fin successfully and ensure the maneuverability of hypersonic vehicle, a key problem to be studied urgently is the heat flux brought by the fin mounting gap. The appearance of mounting gap and fin shaft can induce many complex flow structures which need more attentions to be investigated. Under Ma 6, Nano-tracer-based Planar Laser Scattering (NPLS) and Temperature Sensitive Paints (TSP) were applied to visualize and measure transient flow structures and heat flux distribution of a swept fin-induced flow field with different height mounting gaps. Complementarily, Reynolds-averaged N-S equations were solved with k-ω SST turbulent model. The heat flux distribution results of numerical simulation and TSP observed the change of high heat flux region with different mounting gap, both in position and magnitude. The streamlines based on Computational Fluid Dynamics (CFD) and flow visualization results obtained by NPLS revealed the cause of high heat flux region. The high heat flux region in this flow field is mainly related to the reattachment of vortex and flow stagnation. The increase of gap height can lead to stronger gap overflow and shaft-induced horseshoe vortex, which are source of the high heat flux around the fin. The case with the highest mounting gap (4 mm) en-counters the most severe aerodynamic heating, both on the surface of fin and plate. Thus, under the premise of ensuring the flexibility of the fin, the gap should be set as small as possible.     

基于间接法在线能力评估和自主规划技术研究

针对运载火箭推力故障条件下的自主救援任务,研究了一种基于间接法的在线能力评估和自主规划方法.构建了以入轨点能量最大为最优性能指标的最优控制问题.通过数值方法探讨了在满足轨道倾角和入轨点路径角约束条件下,入轨点速度、远地点和近地点跟入轨高度之间的关系,设计了一种与入轨高度相关的特征量来对入轨能力进行评估.以近地点最高为救...     

基于遗传算法的军事物流运输计划

针对军事物流运输中车辆装载和车辆路径的组合问题进行研究,建立车辆装载和车辆路径组合问题的目标优化模型。通过改进遗传算法对模型求解,得到了较为满意的结果,可以在满足多车型多品种货物配送约束的条件下,实现运输车辆最少、车辆满载率高、车辆运输路径最短的目标。     

小不对称物体配平性能风洞实验研究

用阶跃响应法,在风洞中测量小不对称物体配平性能的实验原理、实验装置、数据处理及部分实验结果。 模型支承于空气静压轴承。在模型内部设有电磁机构,在一次吹风中,可以阶跃方式多次提供不对称量。由高精度、非接触的感应同步器数字测量模型俯仰角变化历程。用修正Newton-Raphson法处理数据,求出小不对称量引起的配平角δ_o、俯仰力矩C_mo和气动刚度C_ma、气动阻尼C_mq等参数。 对11°斜切锥,钝度比分别为0.06及0.16的模型进行了风洞实验。实验M数为33.5和4。实验结果表明,所采用的实验原理、设备及方法可提供较好的精度及分辨率。实验还求出了配平性能(δ_o,C_mo)以及C_ma,C_mq随M数的变化。     

复杂可修系统效能中可信度矩阵的构造方法

复杂可修系统可信度建模对保证效能的定量分析至关重要.本文在考虑不同维修状况的基础上,着重对不同任务剖面内相应任务阶段中武器装备可信度进行了深入的定量分析和综合,进而构造出武器装备的可信度矩阵,用于武器装备的效能分析;文中以某地面车辆为例,进一步论证了武器装备可信度矩阵的工程含义,旨在为合理确定一大类武器装备的效能和可信度指标提供理论依据.     

多任务在轨服务模块化智能航天器技术研究

首先介绍了在轨服务技术的分类及国内外近期研究进展,结合各国已开展项目的验证情况,分析了在轨服务模式、适应多任务在轨服务航天器的发展思路。为适应卫星发射和在轨服务的任务需要,提出了多任务服务航天器的方案设想,以期降低在轨服务操作的难度,提升在轨服务系统执行多任务的能力。最后初步分析了用于演示验证任务的服务航天器总体参数及任务规划。     

Optimization of entry-vehicle shapes during conceptual design

During the conceptual design of a re-entry vehicle, the vehicle shape and geometry can be varied and its impact on performance can be evaluated. In this study, the shape optimization of two classes of vehicles has been studied: a capsule and a winged vehicle. Their aerodynamic characteristics were analyzed using local-inclination methods, automatically selected per vehicle segment. Entry trajectories down to Mach 3 were calculated assuming trimmed conditions. For the winged vehicle, which has both a body flap and elevons, a guidance algorithm to track a reference heat-rate was used. Multi-objective particle swarm optimization was used to optimize the shape using objectives related to mass, volume and range. The optimizations show a large variation in vehicle performance over the explored parameter space. Areas of very strong non-linearity are observed in the direct neighborhood of the two-dimensional Pareto fronts. This indicates the need for robust exploration of the influence of vehicle shapes on system performance during engineering trade-offs, which are performed during conceptual design. A number of important aspects of the influence of vehicle behavior on the Pareto fronts are observed and discussed. There is a nearly complete convergence to narrow-wing solutions for the winged vehicle. Also, it is found that imposing pitch-stability for the winged vehicle at all angles of attack results in vehicle shapes which require upward control surface deflections during the majority of the entry.     

Vision-based bio-inspired guidance law for small aerial vehicle

During predation, a flying insect can form a stealth flight path. This behavior is called motion camouflage. Based on the study results of this behavior, the perception and neurology of flying insects, a novel bio-inspired guidance law is proposed for the terminal guidance for small aerial vehicle with charge-coupled device imaging seekers. The kinematics relationship between a small aerial vehicle and target is analyzed, and a two-dimensional guidance law model is established by using artificial neural networks. To compare with the proportional guidance law, the numerical simulations are carried out in the vertical plane and in the horizontal plane respectively. The simulation results show that the ballistic of the small aerial vehicle is straighter and the normal acceleration is smaller by using the bio-inspired guidance law than by using the proportional guidance law. That is to say, the bio-inspired guidance law just uses the information of the target from the imaging seeker,but the performance of it can be better than that of the proportional guidance law.