长征系列运载火箭发射人造卫星的情况简析

分析了现在报刊上有关长征系列运载火箭发射情况报道中存在的问题,给出了1970～1998年长征系列运载火箭发射人造卫星情况的汇总表。     

飞行器散射中心的超分辨力诊断

高/超分辨力微波成像诊断测量是隐身飞行器设计的重要手段。本文讨论飞行器的超分辨力微波成像诊断测量技术,研究了四种微波成像算法,给出了微波暗室测量条件下,利用各种算法对飞机模型成像的结果。     

车速台速度脉冲信号的处理方法研究

在简单介绍车速表检测的必要性以及车速表检测台分类基础上,讲解了霍尔元件测量速度脉冲的原理;结合实际应用中出现的问题,针对大量的试验数据结果进行分析研究后,得出一种科学合理的脉冲信号测量处理方法,使测量结果得到明显改善。     

机动襟翼对纵向PIO的影响

机动襟翼在我国是一项刚被采用的新技术，而驾驶员诱发振荡是严重威胁飞行安全并一直困扰航空界的一大难题，主要通过对机动襟翼调节规律的分析，建立包括机动襟翼在向的人－机闭环系统数学模型，从而计算了分析机动襟翼对纵向驾驶员诱发振荡的影响，并以某机为例，对该机机动襟翼整个工作范围内的各飞行状态，有无机动襟翼两种情况下的ＰＩＯ进行了仿真计算。结果表明，机动襟翼设计合理，对ＰＩＯ影响不大。     

Reliability and safety analysis of redundant vehicle management computer system

Redundant techniques are widely adopted in vehicle management computer （VMC） to ensure that VMC has high reliability and safety. At the same time, it makes VMC have special characteristics, e.g., failure correlation, event simultaneity, and failure self-recovery. Accordingly, the reliability and safety analysis to redundant VMC system （RVMCS） becomes more difficult. Aimed at the difficulties in RVMCS reliability modeling, this paper adopts generalized stochastic Petri nets to establish the reliability and safety models of RVMCS. Then this paper analyzes RVMCS oper- ating states and potential threats to flight control system. It is verified by simulation that the reli- ability of VMC is not the product of hardware reliability and software reliability, and the interactions between hardware and software faults can reduce the real reliability of VMC obviously. Furthermore, the failure undetected states and false alarming states inevitably exist in RVMCS due to the influences of limited fault monitoring coverage and false alarming probability of fault mon- itoring devices （FMD）. RVMCS operating in some failure undetected states will produce fatal threats to the safety of flight control system. RVMCS operating in some false alarming states will reduce utility of RVMCS obviously. The results abstracted in this paper can guide reliable VMC and efficient FMD designs. The methods adopted in this paper can also be used to analyze other intelligent systems＇ reliability.     

作战任务对防空导弹武器系统威胁判断结果的影响分析

梳理了判断涉及的目标参数结合武器系统的作战任务需求。提出了一种根据作战任务建立威胁判断数学模型的指导方案，给出了如何应用该方案对已有模型进行改进的措施。仿真分析中对一种基于层次分析法和模糊综合决策法的空袭目标威胁评估模型进行改进，在多目标的空袭环境中演示了不同作战任务对目标威胁判断结果的影响，验证了模型的工程参考价值。     

高超声速冲压发动机-飞行器计力体系讨论

从吸气式高超声速飞行器受力分析出发,讨论如何统计飞行器受力的问题,建议在研究中使用增量法。这种方法将冲压发动机冷、热工况产生的力(力矩)增量视为飞行器运动分析中所需的"发动机推力或拉力",这个力或力矩分别叠加在飞行器冷通气状态的力或力矩上。这样,就与传统的飞行器运动方程中的力建立了一一对应的关系,可最大限度地使用以往建立的数据获取方法、分析软件、实验技术体系,将给后续工作带来极大的便利。另外,使用此方法,实验容易获得高质量的数据,通过大量容易组织的冷态实验也可使数值模拟的准确度大大提高,使未来飞行器的运动分析结果更可信。在这个体系下,内流道的冷工况阻力(轴向力)是高超声速冲压发动机与飞行器一体化需考虑的重要问题,一方面飞行器总体任务设计需限定内流道冷阻范围,另一方面要使发动机在要求的冷阻范围内高效工作,后者是高超声速发动机研究面临的严峻挑战。     

经验Bayes岭估计在GINS车载试验工具误差辨识中的应用

在利用车载试验进行GINS工具误差辨识过程中,由于输入加速度很小使得系统存在严重的复共线性。应用传统的最小二乘方法会出现增大最小二乘估计量的方差、参数估计值不稳定、产生弃真错误等问题。本文引入经验Bayes岭估计方法来进行GINS车载试验工具误差辨识工作。仿真结果表明,和传统最小二乘方法相比,经验Bayes岭估计的辨识精度有所提高,并可克服系统存在的复共线性的影响。     

Optimal trajectory and downlink power control for multi-type UAV aerial base stations

Unmanned Aerial Vehicles (UAVs) enabled Aerial Base Stations (UABSs) have been studied widely in future communications. However, there are a series of challenges such as interference management, trajectory design and resource allocation in the scenarios of multi-UAV networks. Besides, different performances among UABSs increase complexity and bring many challenges. In this paper, the joint downlink transmission power control and trajectory design problem in multi-type UABSs communication network is investigated. In order to satisfy the signal to interference plus noise power ratio of users, each UABS needs to adjust its position and transmission power. Based on the interactions among multiple communication links, a non-cooperative Mean-Field-Type Game (MFTG) is proposed to model the joint optimization problem. Then, a Nash equilibrium solution is solved by two steps: first, the users in the given area are clustered to get the initial deployment of the UABSs; second, the Mean-Field Q (MFQ)-learning algorithm is proposed to solve the discrete MFTG problem. Finally, the effectiveness of the approach is verified through the simulations, which simplifies the solution process and effectively reduces the energy consumption of each UABS.     

Highly reliable relative navigation for multi-UAV formation flight in urban environments

Formation flight of multiple Unmanned Aerial Vehicles (UAVs) is expected to bring significant benefits to a wide range of applications. Accurate and reliable relative position information is a prerequisite to safely maintain a fairly close distance between UAVs and to achieve inner-system collision avoidance. However, Global Navigation Satellite System (GNSS) measurements are vulnerable to erroneous signals in urban canyons, which could potentially lead to catastrophic consequences. Accordingly, on the basis of performing relative positioning with double differenced pseudoranges, this paper develops an integrity monitoring framework to improve navigation integrity (a measure of reliability) in urban environments. On the one hand, this framework includes a fault detection and exclusion scheme to protect against measurement faults. To accommodate urban scenarios, spatial dependence in the faults are taken into consideration by this scheme. On the other hand, relative protection level is rigorously derived to describe the probabilistic error bound of the navigation output. This indicator can be used to evaluate collision risk and to warn collision danger in real time. The proposed algorithms are validated by both simulations and flight experiments. Simulation results quantitatively reveal the sensitivity of navigation performance to receiver configurations and environmental conditions. And experimental results suggest high efficiency and effectiveness of the new integrity monitoring framework.