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31.
This paper presents a Fuzzy Preference Function-based Robust Multidisciplinary Design Optimization (FPF-RMDO) methodology. This method is an effective approach to multidisciplinary systems, which can be used to designer experiences during the design optimization process by fuzzy preference functions. In this study, two optimizations are done for Predator MQ-1 Unmanned Aerial Vehicle (UAV): (A) deterministic optimization and (B) robust optimization. In both problems, minimization of takeoff weight and drag is considered as objective functions, which have been optimized using Non-dominated Sorting Genetic Algorithm (NSGA). In the robust design optimization, cruise altitude and velocity are considered as uncertainties that are modeled by the Monte Carlo Simulation (MCS) method. Aerodynamics, stability and control, mass properties, performance, and center of gravity are used for multidisciplinary analysis. Robust design optimization results show 46% and 42% robustness improvement for takeoff weight and cruise drag relative to optimal design respectively.  相似文献   
32.
《中国航空学报》2020,33(1):352-364
Unmanned Aerial Vehicle (UAV) swarms have been foreseen to play an important role in military applications in the future, wherein they will be frequently subjected to different disturbances and destructions such as attacks and equipment faults. Therefore, a sophisticated robustness evaluation mechanism is of considerable importance for the reliable functioning of the UAV swarms. However, their complex characteristics and irregular dynamic evolution make them extremely challenging and uncertain to evaluate the robustness of such a system. In this paper, a complex network theory-based robustness evaluation method for a UAV swarming system is proposed. This method takes into account the dynamic evolution of UAV swarms, including dynamic reconfiguration and information correlation. The paper analyzes and models the aforementioned dynamic evolution and establishes a comprehensive robustness metric and two evaluation strategies. The robustness evaluation method and algorithms considering dynamic reconfiguration and information correlation are developed. Finally, the validity of the proposed method is verified by conducting a case study analysis. The results can further provide some guidance and reference for the robust design, mission planning and decision-making of UAV swarms.  相似文献   
33.
《中国航空学报》2020,33(11):2989-2998
Unmanned Aerial Vehicles (UAVs) cooperative multi-task system has become the research focus in recent years. However, the existing network frameworks of UAVs are not flexible and efficient enough to deal with the complex multi-task scheduling, because they are not able to perceive the different features. In this paper, a novel cooperated UAVs network framework for multi-task scheduling is proposed. It is a three-layer network including a core layer, an aggregation layer and an execution layer, which enhances the efficiency of multi-task distribution, aggregation and transmission. Furthermore, an AggreGate Flow (AGFlow) based scheduler is dedicatedly designed to maximize the task completion rate, whose key point is to aggregate flows belonging to one task during the multi-task transmission of UAVs network and to allocate priority by calculating the urgency-level of each AGFlow. Simulation results demonstrate that, compared with that of state-of-the-art scheduler, the average task completion rate of AGFlow based scheduler is raised by 0.278.  相似文献   
34.
《中国航空学报》2020,33(3):1037-1056
The paper proposes a Virtual Target Guidance (VTG)-based distributed Model Predictive Control (MPC) scheme for formation control of multiple Unmanned Aerial Vehicles (UAVs). First, a framework of distributed MPC scheme is designed in which each UAV only shares the information with its neighbors, and the obtained local Finite-Horizon Optimal Control Problem (FHOCP) can be solved by swarm intelligent optimization algorithm. Then, a VTG approach is developed and integrated into the distributed MPC scheme to achieve trajectory tracking and obstacle avoidance. Further, an event-triggered mechanism is proposed to reduce the computational burden for UAV formation control, which takes into consideration the predictive state errors as well as the convergence of cost function. Numerical simulations show that the proposed VTG-based distributed MPC scheme is more computationally efficient to achieve formation control of multiple UAVs in comparison with the traditional distributed MPC method.  相似文献   
35.
针对ATC3000空管自动化系统的运行要求以及飞行管制区现场实际工作的需要,介绍了ATC3000航空地图制作软件的关键技术。文中分析了该软件的结构以及在Windows系统中使用Delphi开发的具体实现技术。  相似文献   
36.
均等通信时滞下多UAV协同编队控制   总被引:2,自引:1,他引:1  
多无人机(UAV)系统编队控制中,时滞是无法回避的问题,研究时滞对多UAV编队形成和系统稳定性的影响,具有重要理论价值。重点研究均等通信时滞下多UAV协同编队控制问题,并获得系统的稳定性条件。首先,设计具有均等通信时滞的协同编队控制律,得到多UAV编队系统的闭环时滞状态方程;在恒定均等时滞下,考虑到系统模型不确定性,基于线性矩阵不等式(LMI)理论得到系统的时滞依赖稳定性条件;最后,进行仿真实验,结果表明多UAV编队系统是稳定的,期望的编队队形能够形成并保持。  相似文献   
37.
为了开展空中加油任务中加油机飞行品质的评定准则研究,对多组不同参数控制律的加油机进行了地面飞行品质评定模拟试验,研究了常规准则在加油机飞行品质评定中的适用性。结果表明:常规飞行品质准则边界不完全适用于评定加油机飞行品质;ζ_(sp)与CAP准则和ζ_(sp)与ω_(sp)T_(θ2)准则与空中加油任务中加油机的飞行品质要求相关性较差,单位迎角变化所引起的纵向过载与短周期自然频率组合能够在一定程度上反映该任务中加油机的飞行品质要求,带宽准则能够反映出空中加油任务对加油机俯仰姿态响应带宽的要求,但该任务对等效延迟时间的要求相比于带宽准则要低。  相似文献   
38.
针对无人机测控传输系统频率资源日趋紧张、电磁环境日渐复杂的现状,为提高无线传输频带效率和功率效率,在卷积码和CPM(Continuous Phase Modulation,连续相位调制)的基础上,提出一种基于SCCPM(Serially Concatenated CPM,串行级联CPM)的无人机遥控、遥测数据传输体制.通过引入Turbo(涡轮)码迭代原理设计CPM解调与卷积译码反馈校正结构,并对CPM解调算法进行优化以减小复杂度,得到相位连续、频谱紧凑、编码增益高、收敛特性好的无人机测控通信系统.仿真结果表明:所设计方案采用级联外迭代方式可获取更高的信噪比增益、更低的错误平层——与典型应用的RS(Reed-Solomon,里德-所罗门)码级联卷积码相比,该方案能够多获取1.6 dB的信噪比增益,表明SCCPM更适用于无人机测控数据传输.  相似文献   
39.
介绍了737NG飞机的燃油系统,结合压力加油控制系统原理图,分析了压力加油系统各环节出现故障的可能性及可能造成的后果,并根据本公司近两年压力加油系统故障的统计数据,给出了压力加油系统常见故障的航线维护建议。  相似文献   
40.
刘东升 《飞机设计》2006,(4):7-10,19
飞机采用固定式空中受油装置后,可能引起飞机飞行过程中的振动,严重时危及飞机的飞行安全。本文通过受油装置固有频率的计算和地面振动试验确定其频率特性,利用激波和旋涡共振理论,对受油装置的振动问题进行了分析,为某型飞机的试飞工作提供了理论支持。经过飞行试验证明分析结果是正确的,本文提出的计算分析方法对分析飞机圆形、椭圆形突出物的振动问题有借鉴意义。  相似文献   
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