基于雷达跟踪仿真的滑翔式再入弹道突防性能分析

从防御雷达对再入弹道跟踪效果的角度,对滑翔式再入飞行器的突防性能进行了初步分析。基于Unscented卡尔曼滤波和考虑气动模型的目标跟踪模型,加入雷达测量噪声,计算目标跟踪误差,比较弹道式与滑翔式再入弹道的跟踪效果。仿真结果表明：(1) 滑翔式再入弹道有横向机动且飞行高度较低,雷达的发现时间较晚,可观测时间比较短;(2) 由于雷达的跟踪动力学模型中很难对气动力准确建模,滑翔式弹道借助气动力产生机动,雷达对其跟踪的误差要大于弹道式再入弹道; (3) 在相近的雷达观测条件下,弹道机动性越强,雷达跟踪精度越差;(4) 尽量使防御方所假设的目标动力学模型失配是增加突防能力的有效措施。     

降低亚轨道飞行器再入法向过载峰值的攻角设计方法

针对亚轨道飞行器再入中的大过载问题,提出一种通过保持法向过载动态平衡以大幅降低法向过载峰值的攻角设计方法。该方法基于再入飞行中过载演化特性,通过自主分段、预测反馈及迭代修正对再入攻角进行设计,使攻角变化率与法向过载的期望平衡值相适应,并可经过重复计算及收敛实现法向过载峰值最小化。仿真计算的结果表明,该方法能够大幅降低亚轨道飞行器再入中的法向过载,且按照该方法设计所获攻角策略可有效用于亚轨道飞行器再入任务规划、再入轨迹和制导律设计。
     

一种飞行器最优末制导律研究及仿真

为使再入飞行器攻击目标时获得最大毁伤效果,基于弹目相对运动方程,并考虑落角等多约束条件,用线性二次型(LQR)最优控制的黎卡提方程,设计了一种新的最优末制导律,并给出了零阶无时延系统的近似表达式。典型弹道和不同约束条件下的仿真结果表明:该末制导律有较优的精确性、有效性和弹道性能。     

Proactive optimization of transmission power and 3D trajectory in UAV-assisted relay systems with mobile ground users

In this paper, an Unmanned Aerial Vehicle (UAV)-assisted relay communication system is studied, where a UAV is served as a flying relay to maintain a communication link between a mobile source node and a remote destination node. Specifically, an average outage probability minimization problem is formulated firstly, with the constraints on the transmission power of the source node, the maximum energy consumption budget, the transmission power, the speed and acceleration of the flying UAV relay. Next, the closed-form of outage probability is derived, under the hybrid line-of-sight and non-line-of-sight probability channel model. To deal with the formulated nonconvex optimization, a long-term proactive optimization mechanism is developed. In particular, firstly, an approximation for line-of-sight probability and a reformulation of the primal problem are given, respectively. Then, the reformulated problem is transformed into two subproblems: one is the transmission power optimization with given UAV’s trajectory and the other is the trajectory optimization with given transmission power allocation. Next, two subproblems are tackled via tailoring primal–dual subgradient method and successive convex approximation, respectively. Furthermore, a proactive optimization algorithm is proposed to jointly optimize the transmission power allocation and the three-dimensional trajectory. Finally, simulation results demonstrate the performance of the proposed algorithm under various parameter configurations.     

一种新的升力式再入投送系统轨道部署方法

针对天基再入投送系统与传统星座轨道部署问题的不同,建立了用于轨道部署覆盖性能仿真的星下点轨迹、覆盖条带计算模型和覆盖判别条件模型;针对传统部署方法的不均匀性,提出了一种新的升力式再入飞行器全球部署方法。该方法采用双倾角条带覆盖方式克服了传统部署方法的固有缺陷,既实现了全球覆盖又提高了重点区域的覆盖重数。仿真结果表明该部署方法的覆盖性能相对传统方法有明显提高,在满足全球100%覆盖的同时又对重点区域的覆盖重数提高了约20%,覆盖性能优异。     

Multi-disciplinary design optimization with fuzzy uncertainties and its application in hybrid rocket motor powered launch vehicle

In this paper, an Uncertainty-based Multi-disciplinary Design Optimization (UMDO) method combining with fuzzy theory and Multi-Discipline Feasible (MDF) method is developed for the conceptual design of a Hybrid Rocket Motor (HRM) powered Launch Vehicle (LV). In the method proposed, membership functions are used to represent the uncertain factors, the fuzzy statistical experiment is introduced to analyze the propagation of uncertainties, and means, standard deviations and credibility measures are used to delineate uncertain responses. A geometric programming problem is solved to verify the feasibility of the Fuzzy-based Multi-Discipline Feasible (F-MDF) method. A multi-disciplinary analysis of a three-stage HRM powered LV involving the disciplines of propulsion, structure, aerodynamics and trajectory is implemented, and the mathematical models corresponding to the F-MDF method and the MDF method are established. A two-phase optimization method is proposed for multi-disciplinary design optimization of the LV, including the orbital capacity optimization phase based on the Ziolkowski formula, and the scheme trajectory verification phase based on the 3-degree-of-freedom point trajectory simulation. The correlation coefficients and the quadratic Response Surface Method (RSM) based on Latin Hypercube Sampling (LHS) are adopted for sensitive analysis of uncertain factors, and the Multi-Island Genetic Algorithm (MIGA) is adopted as the optimization algorithm. The results show that the F-MDF method is applicable in LV conceptual design, and the design with the F-MDF method is more reliable and robust than that with the MDF method.     

返回式卫星烧蚀热防护机理与数值模拟

详细讨论了低温炭化材料的质量损失和吸热机理。利用分层模型,给出具有不同物理和化学特性的各层的能量守恒关系。用积分法给出各层热防护的数值模拟,数值模拟计算结果与一维热传导解析解结果一致,亦与地面烧蚀实验結果一致。     

A multi-strategy pigeon-inspired optimization approach to active disturbance rejection control parameters tuning for vertical take-off and landing fixed-wing UAV

In this paper, Active Disturbance Rejection Control(ADRC) is utilized in the pitch control of a vertical take-off and landing fixed-wing Unmanned Aerial Vehicle(UAV) to address the problem of height fluctuation during the transition from hover to level flight. Considering the difficulty of parameter tuning of ADRC as well as the requirement of accuracy and rapidity of the controller, a Multi-Strategy Pigeon-Inspired Optimization(MSPIO) algorithm is employed. Particle Swarm Optimization(PSO), Gen...     

测绘导航高精度定位关键技术及应用

人工智能(AI)、卫星导航及室内定位三大技术的快速发展持续推动测绘科技向智能化、学科交叉、信息融合的方向发展。指出了装备虚拟化与数据处理多样化将成为测绘导航的基本形态，拓展了测绘学科的内涵与外延。智能滤波是未来测绘导航定位理论发展的重要方向，AI芯片将成为测绘导航装备的关键部件，从而提高滤波效率与产品的实用性。给出了车载导航模组研制的技术流程，提出了模组原始信息同步采集与延时补偿、自适应定位算法及嵌入式固件时间分片优化等关键技术，研制了覆盖分米、厘米及毫米级定位精度的无缝组网定位、车载导航及变形监测模组，并研发了相应的终端系统，针对相应的应用领域，给出了各自应用的解决方案，以及具体的应用案例。     

相对厚度对低雷诺数流动中翼型动态气动力特性的影响

以固定翼微型飞行器为研究背景,研究了相对厚度对低雷诺数流动中翼型动态气动力特性的影响规律.采用Roe迎风差分格式和双时间步迭代方法,数值求解拟压缩性修正不可压Navier-Stokes方程,给出了数值算法与实验数据的对比验证.以翼型弦长为特征长度,在Re=500～50,000情况下,选取不同最大相对厚度和不同最大相对厚度位置的翼型,计算了其等速上仰时的动态气动力,结果表明前者对气动力影响显著,较小最大相对厚度值可获得较大的动态升阻比.