微型涡轮喷气发动机发展综述

100 daN以下推力的微型涡轮喷气发动机能为微小型飞行器提供优质和可靠的动力,已成为国内外研究的热点.微型涡轮喷气发动机具有尺寸小、转速高、零件数少、工作时间长、推力易调节、红外辐射低、能重复使用等优点.其推重比已经超过11.0,已在无人作战飞行器、防空武器靶标、精确打击弹药、试验飞行器等装备上大量应用.本文从研发机构与代表产品、性能与结构特点、应用现状等方面,对微型涡轮喷气发动机20世纪50年代以来的发展情况进行了综述,可为今后国内研制高性能微型涡轮喷气发动机提供参考.随着进一步降低成本、提高推重比,微型涡轮喷气发动机将有更强的竞争力和更广的发展前景.     

On the Ballistic Efficiency of Bicalibre Aerial Vehicles with Prevailing Coast Phase

The advantages of the bicalibre configuration of the volumetric packaging in comparison with the single-calibre one are shown within the framework of the concept of ballistic efficiency (BE) enhancement of the aerial vehicles (AV) with prevailing coast phase. The rational range of booster and coaster calibre ratios of bicalibre aerial vehicles for both solid propellant jet engines and combined propulsion units are defined.     

Selection of an Audibility Criterion for Propeller Driven Unmanned Aerial Vehicle

Based on a flight experiment, the difference between the total aircraft noise level and the ambient noise is proposed to be used as an audibility criterion for unmanned aerial vehicles equipped with piston engines. It is found that the unmanned aerial vehicle becomes audible for an observer at a criterion value of 3 dBA.     

Voice recognition: software solutions in real-time ATC workstations

Speech recognition features desired by air traffic controllers, such as the ability to use complex messages and address hundreds of individual aircraft could not be implemented a decade ago, but these tasks became possible with improved speech recognition engines and an increase in processing power and memory. Speech recognition was a key element in the air traffic controller (ATC) workstation used to support a Controller-Pilot Data Link Communications (CPDLC) system. Our work, under the direction of the Avionics Engineering Center at Ohio University, was in support of the Federal Aviation Administration's (FAA) Runway Incursion Reduction Program (RIRP) and the National Aeronautics and Space Administration's (NASA) Runway Incursion Prevention System (RIPS) conducted at the Dallas-Fort Worth International Airport (DFW). This paper examines the challenges and opportunities of developing voice recognition software solutions in ATC workstations using multiple dialects and accents, complex and varied grammars and terminology, accuracy, hardware restrictions, and user-training procedures.     

Achieving a hands-free computer interface using voice recognitionand speech synthesis [for Windows-based ATE]

Software designers at Hill Air Force Base have developed a voice recognition and speech synthesis system (Voice Control) for use with the F-16 Analog Test Station Sustainment (FATSS) project. The Voice Control system is reliable, speaker independent, and has a total added hardware price tag of under $50.00 per station. In contrast to traditional voice recognition systems, operator training is not required. OO-ALC has developed a general-purpose internal interface (Voice Control) to the Speech Recognition and Text-To-Speech engines provided by Microsoft. Voice Control can be accessed by any 32-bit Windows software, which has windows messaging capability. This is available to standard programming languages such as LabWindows CVI, Borland or Microsoft C/C++, Visual Basic, or even commercial packages such as Lotus Notes and Microsoft Word. Through Voice Control, the computer uses both video and voice prompts to request input from the operator. The operator is allowed to enter data and to control the software flow by voice command or from the keyboard or mouse. The Voice Control system allows for dynamic specification of a grammar set, or legal set of commands. The use of a reduced grammar set greatly increases recognition accuracy. The computer voice enables the operator to focus his attention away from the computer screen, which is required for activities such as probing a circuit card and taking readings. When the operator takes readings, the computer, to insure reliable entry, echoes his voice entries. With electronic tuning, speech synthesis allows the operator to hear the resulting reading, enabling him to focus on the circuit card instead of constantly turning his head to see the computer screen. This paper describes the capability and functionality of the Voice Control system     

一种小型自主飞行无人机系统集成设计研究

小型自主飞行无人机系统又称为空中机器人,泛指各种能够在空中自由飞行的无人飞行器系统,具有广泛的应用前景.论述了一种5kg小型自主飞行无人机系统的飞行平台的设计与实现、系统选择与集成、图像处理的方法、电磁兼容问题及解决措施等,最终成功地实现了自主飞行,并在"枭龙杯"中国空中机器人大赛上获奖.设计方法在无人机系统试飞和比赛中都得到了验证,证明是有效的.     

通信和测量受限条件下异构多UAV分布式协同目标跟踪方法

研究了通信和测量受限的异构多无人机(UAV)网络化分布式协同目标观测与跟踪问题.该分布式UAV系统采用长机一僚机异构型网络结构,以实现在电子静默和战术隐身条件下扩大探测和打击纵深.提出改进的一致性信息滤波(ICF)算法,实现通信和测量范围内各UAV节点的分布式信息融合.由于一致性算法的收敛性与网络拓扑结构的连通性密切相...     

多无人机同时到达的分散化控制方法

多无人机(UAV)同时到达是典型的协同控制问题,在编队飞行、协同攻击中都有应用。以多无人机协同多目标攻击为应用背景,对多无人机同时到达问题进行了研究。考虑到战场环境的动态性和不确定性以及无人机自身的特点,提出一种适用于多无人机同时到达的分散化控制方法,其内容包括仅依靠局部信息交互的分散化控制结构和基于一致性算法的分散化控制策略。为方便操作员控制无人机群体的整体行为,分别设计了引入外部参考信号和虚拟Leader的分散化控制策略。根据路径规划和速度控制的不同特点将二者结合起来,利用它们的互补优势来应对路径误差和突发威胁等不利因素的影响。仿真结果表明,本文提出的分散化控制方法能够实现多无人机同时到达,并且具有很好的灵活性、鲁棒性、可靠性和可伸缩性。     

无人机空中加油过程中基于机器视觉的相对位姿估计(英文)

本文主要研究了在无人机空中自主加油过程中,利用安装在无人机上的摄像机得到的视觉图像确定无人机与加油机之间相对位置关系的算法。本文以经典的OI算法为基础展开研究,文章主要分为三个部分:首先简要介绍了OI算法的基本实现方法,指出了在OI算法中,旋转矩阵R的初值的选择对于位姿估计的精度有一定的影响。其次主要介绍了一种线性算法用于获取R初值的方法,同时针对空中加油过程中无人机与加油机之间的相对姿态角变化较小的特点,提出了可以将旋转矩阵R的初值设为单位矩阵。论文最后在仿真环境下对相关算法展开实验研究,同时研究了在高斯噪声环境下特征点在加油机表面的分布对位姿估计结果的影响,论文得到如下的结论:1、针对空中加油过程中无人机与加油机之间的相对姿态角变化较小的特点,在高斯噪声环境下,以单位矩阵作为旋转矩阵的初值得到的位姿估计的结果好于以线性算法为初值的结果。2、在相同的高斯噪声环境下,特征点之间的距离越大时得到的位姿估计结果的精度越高。3、特征点的数量对相对位姿估计的精度没有明显影响。     

Multiple hierarchy risk assessment with hybrid model for safety enhancing of unmanned subscale BWB demonstrator flight test

To explore the low-speed characteristics of the Blended-Wing-Body (BWB) configuration for future civil aircraft, a series of unmanned subscale demonstrators have been developed and tested by our research team. During this process, specific safety risks deriving from uncertain design features, system unreliability, and insufficient personnel experience caused continuous flight test mishaps and the risk mechanism was not clear. Local and trial-and-error learning driven safety improvements took few effects on mishap prevention, so our focus was turned to look for systematic safety strategies. This paper establishes a systems theory based hybrid model to integrate the physical system reliability analysis techniques with the system dynamics method for illustrating the multiple risk interactions of the demonstrator flight test involving organizational, human resource and technical system factors. Using the prior BB-5 demonstrator as a case, the hybrid model simulation represents its historical risk evolution process, which verifies the model rationality. Derived risk control strategies reduced the mishap rate of a new demonstrator called BB-6 Sprit. The paper also shows the extended hybrid model can be applied on safety management of unmanned aerial vehicles from the initial period of vehicle development.     

基于佘度和容错技术的高可靠机载智能配电系统设计

针对大型无人机(UAV)用常规配电系统占用航空总线资源多和可靠性低的问题,通过研究多电/全电飞机技术发展趋势和大型无人机供电系统技术特点,提出一种适用于大型无人机体系结构和指标要求的机载智能配电系统;建立系统的马尔可夫模型,计算和分析不同余度结构的供电处理机(PSP)和电气负载管理中心(ELMC)对系统可靠性的影响,进...     

Cascade-type guidance law design for multiple-UAV formation keeping

A procedure to compute guidance commands for controlling the relative geometry of multiple unmanned aerial vehicles (UAVs) in formation flight is proposed. The concepts of branch, global leader, and local leader/follower are used to represent the whole formation geometry. A positive-definite function defined in terms of the formation error is then introduced and the Lyapunov stability theorem is used to obtain the cascade type guidance law. This scheme leads to the synchronized flight of all UAVs while maintaining formation geometry. The results of a high fidelity nonlinear simulation of a reconnaissance and surveillance mission example are presented to show the effectiveness of the proposed guidance law.     

航空术语的构词分析

以全国科学技术名词审定委员会公布的"航空科学技术名词"为览本,对航空术语的词性和构型进行分析,通过举例作出了某些详述,并推导出对外来术语的吸纳方法和原则。     

高马赫数临近空间无人机主要总体参数设计方法

针对高马赫数临近空间无人机(HSUAV)概念设计的需求,研究一种飞行器主要总体参数设计的改进方法,目的是提高主要总体参数设计的可信度。在现有的约束分析和任务分析方法基础上,通过融入适用性更广、预测精度更高的气动模型和推进系统模型,建立了一种迭代的设计计算流程。应用参数化建模方法建立了气动数值分析模型,应用发动机热力循环分析建立了推进系统模型。应用本文方法完成了高马赫数临近空间无人机主要总体参数设计计算,结果表明:经过若干次迭代设计计算,主要总体参数值收敛;由传统方法确定的主要总体参数与本文方法的结果有明显差别。由于本文方法中使用了可信度更高的气动和推进系统模型,根据本文方法确定的主要总体参数具有更高的可信度。     

重型火箭下面级发动机基本参数分析

分析了已有重型火箭动力系统的结构和基本参数,以满足载人登月的任务要求为前提,提出了任务要求以及一套重型火箭箭体结构方案.从性能、经济性、技术难度、工作可靠性等方面综合考虑,提出重型火箭下面级的基本方案,包括推力量级、推进剂以及发动机循环方式的选择.采用面向对象的通用顺序化计算方法,建立发动机系统仿真模型,计算得到9个发动机方案的最高室压及功率平衡参数,分析了燃烧室压强和混合比对发动机性能的影响.经综合分析,建议重型火箭下面级发动机可选择推力4 500～5 000 kN富氧预燃室补燃循环液氧煤油发动机.      

A Technique of Object Detection Using Information about Changes in the Terrain Image

In this paper, detection of objects in airborne systems of unmanned aerial vehicles using information about changes in the image of the terrain is considered. A proposed technique includes initial detection of objects by the level of local contrast over the field of the image misalignment function, calculation of the amplitude characteristics of objects, and their further filtering by a set of calculated values of characteristics.     

基于注意力机制和特征匹配的空对地多目标检测与跟踪算法

多目标跟踪算法是实现无人机自主导航的关键技术，为解决现有方法存在的小目标检测能力弱、计算能耗大、鲁棒性差等问题，提出一种基于注意力机制和特征匹配的多目标空对地跟踪算法，以实现航拍视角下对目标的精准高效跟踪。首先，引入通道可分离卷积，实现目标检测模型的轻量化；其次，构造融合空间注意力机制的小目标检测分支，提高对小微目标的检测精度，最后，优化目标跟踪算法的外观重识别网络，提高多目标跟踪效率。使用Visdrone2019-MOT数据集对所提算法进行验证，实验结果表明，所提算法的MOTA值提高了0.６%，FPS值为21.31帧/s，在模型大小和跟踪精度上实现了较好的平衡。     

高性能飞机发展对控制理论的挑战

根据笔者30余年来飞行试验研究的实践,从实际飞行的角度简要综述了影响飞行安全的大迎角过失速机动、超低空重载空投、飞行器突发故障和无人机控制方法研究。描述了操纵稳定性飞行试验获取飞机模型的手段和通常飞行控制器设计对模型的近似,给出了8个飞行鲁棒控制的研究问题;对超低空重载空投控制方法进行了描述,并给出了飞行器出现故障时突变模型和容错控制方法;同时,描述了测量对飞行控制特别是对保障无人机飞行安全的重要性,指出了飞行控制方法研究存在的部分问题,并建议有关高校研究单位从稳定性很好的四旋翼转向固定翼或单旋翼战术无人机等高层次研究。     

一种基于语义信息辅助的无人机视觉/惯性融合定位方法CSCD

视觉传感器在无人机室内定位中发挥着重要作用。传统基于特征点的视觉里程计算法通过底层亮度关系进行描述匹配,抗干扰能力不足,会出现匹配错误甚至失败的情况,导航系统的精度及鲁棒性有待提升。由于室内环境存在丰富的语义信息,提出了一种基于语义信息辅助的无人机视觉/惯性融合定位方法。首先,将室内语义信息进行因子建模,并与传统的视觉里程计方法进行融合;然后,基于惯性预积分方法,在因子图优化中添加惯性约束,以进一步提高无人机在动态复杂环境下的定位精度和鲁棒性;最后,通过无人机室内飞行试验对算法的定位精度进行了分析。试验结果表明,相较于传统的视觉里程计算法,该方法具有更高的精度和鲁棒性。     

Real-time object tracking via least squares transformation in spatial and Fourier domains for unmanned aerial vehicles

This paper addresses the problem of real-time object tracking for unmanned aerial vehicles. We consider the task of object tracking as a classification problem. Training a good classifier always needs a huge number of samples, which is always time-consuming and not suitable for realtime applications. In this paper, we transform the large-scale least-squares problem in the spatial domain to a series of small-scale least-squares problems with constraints in the Fourier domain using the correlation filter technique. Then, this problem is efficiently solved by two stages. In the first stage, a fast method based on recursive least squares is used to solve the correlation filter problem without constraints in the Fourier domain. In the second stage, a weight matrix is constructed to prune the solution attained in the first stage to approach the constraints in the spatial domain. Then, the pruned classifier is used for tracking. To evaluate proposed tracker's performance, comprehensive experiments are conducted on challenging aerial sequences in the UAV123 dataset. Experimental results demonstrate that proposed approach achieves a state-ofthe-art tracking performance in aerial sequences and operates at a mean speed of beyond 40 frames/s. For further analysis of proposed tracker's robustness, extensive experiments are also performed on recent benchmarks OTB50, OTB100, and VOT2016.