基于虚拟仪器的空靶通用测试系统的研究

针对空中靶标测试设备现状和问题,提出了一种基于虚拟仪器的新型空靶通用化测试系统,研究了其总体结构和功能特点, 讨论了系统软件体系结构和开发设计。     

空中加油系统的多体动力学和CFD仿真

介绍了作者基于Fortran程序开发的一个多体动力学求解器.依托多刚体系统理论、基于绝对节点坐标(ANCF)法描述的常质量/变质量索梁单元和计算多体动力学方程组求解技术,该求解器可用于分析飞行器拖曳结构中的索-刚体约束系统的动力学问题.本文基于并行CFD求解器PMB3D的动态重叠网格功能,构建了多体动力学和计算流体力学的非定常耦合计算程序.以软式空中加油系统为例,对真实外形飞行器拖曳系统的气动-动力学特性进行了仿真研究.探讨了战斗机构型进行软式加油对接时产生的气动干扰问题,研究了受油机的接近速度和初始偏移量对对接效果的影响.     

基于航空照相枪的数字暗盒设计

航空照相枪是一种安装在歼击机上的小型电影摄影机。传统照相枪主要存在判读环境受限制、判读准确度低、工作可靠性差、效率低等问题。设计了由百万像素CMOS图像传感器、大容量闪存FLASH和CPLD为主要部件组成的数字暗盒。使用基于CPLD状态机设计技术,4片闪存分时存储数据,实现无缓存无压缩实时存储,可以有效地提高判读效率、准确度问题,并使计算机自动判读成为可能。     

Distributed coordinated control scheme of UAV swarm based on heterogeneous roles

This paper proposes a new distributed coordinated control scheme based on heterogeneous roles for Unmanned Aerial Vehicle(UAV) swarm to achieve formation control. First, the framework of the distributed coordinated control scheme is designed on the basis of Distributed Model Predictive Control(DMPC). Then, the effect of heterogeneous roles including leader, coordinator and follower is discussed, and the role-based cost functions are developed to improve the performance of coordinated control for...     

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.     

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.     

基于PC104的某型相机操纵器检测系统

针对新型航空相机操纵器的特点,提出基于PC104单板机的综合检测系统,介绍了检测系统的总体设计,描述了ARINC429、ARINC407及串口差分信号接口数据的模拟设计。通过模拟航空相机及机载总线数据的收发,实现对操纵系统机载总线数据接口状态的实时检测,并可利用串口实现系统状态信息收集,监控诊断操纵器状态。经实验证明,该检测设备仿真的总线数据准确,按维护规程要求实现对操纵器性能的全面检测,满足设计要求。     

多植保无人机协同路径规划

为实现多植保无人机（UAVs）协同作业,并提高作业效率,提出了一种基于改进粒子群优化（PSO）的多植保无人机协同路径规划算法。根据作业区域的形状面积和植保UAV的作业参数划分各架UAV作业区域,采用栅格法生成各区域全覆盖作业航线。以各架植保UAV各架次植保作业距离为算法寻优变量,在确保各架UAV补给时间满足间隔分布约束条件下,综合考虑补给总次数、返航补给总时间、总耗时和最小补给时间间隔4项因素,并构成目标函数,通过采用改进PSO算法,实现了对各UAV返航顺序和返航点位置的寻优。仿真分析结果表明,相较于最大作业距离规划和最小返航距离规划,本文提出的规划算法表现出了较优的性能和较好的作业区域适应性,证实了其有效性和实用性。     

Distortion minimization for multimedia transmission in NOMA HAP-UAV integrated aerial access networks

Aerial access networks have been envisioned as a promising 6G solution to enhance the ground communication systems in both coverage and capacity. To better utilize the spectrum and fully explore different channel characteristics, this paper constructs an integrated network comprising the High Altitude Platform (HAP) and Unmanned Air Vehicles (UAVs) with the Non-Orthogonal Multiple Access (NOMA) technology. In order to improve the transmission quality of images and videos, a power management scheme is proposed to minimize the distortion of the transmissions from the HAP and UAVs to the terminals. The power control is formulated as a non-convex problem constrained by the maximal transmit power and the minimal terminal rate requirements. The variable substitution and the first-order Tailor’s expansion is used to transform it into a sequence of convex problems, which are subsequently solved through the gradient projection method. Simulation demonstrates the signal distortion and error rate improvement achieved by the proposed algorithm.