Aircraft robust multidisciplinary design optimization methodology based on fuzzy preference function

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.     

Robustness evaluation method for unmanned aerial vehicle swarms based on complex network theory

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.     

An aggregate flow based scheduler in multi-task cooperated UAVs network

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.     

Virtual target guidance-based distributed model predictive control for formation control of multiple UAVs

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.     

ATC3000航空地图制作软件及其关键技术分析

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。     

固定式空中受油插头装置振动分析

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。     

无人机测控传输中SCCPM优化设计

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.     

波音737NG飞机压力加油系统常见故障简析

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。     

空中加受油安全对接控制验证要素分析

空中加受油是一个复杂的系统工程,影响因素与加油机、受油机都密切相关,由于大型加油机(软式) 上单翼、大翼展、高垂尾和大型起落架整流包的特殊布局使得空中编队加受油对接过程中,加油机、软管锥套与 受油机之间相互的气动干扰变得十分复杂。通过分析国内外大型加油机、先进受油机的主要特点,总结空中加 受油对接过程中加油机、受油机之间会产生的气动干扰,研究空中加受油编队典型体系及空中加受油编队程 序,提出可能对空中加受油安全对接控制产生影响的验证要素,并对这些影响要素展开分析。安全对接控制验 证要素的分析可以为后续确定软式空中加受油安全对接流程提供理论指导,为空中加受油对接速度的选取提 供依据。     

一种空中加油可变阻尼稳定伞设计及性能分析

为了突破传统空中加油稳定伞对于加油机飞行速度和高度的限制,设计了一种加装气动弹性支架的可变阻尼稳定伞。通过流固耦合(FSI)数值模拟,得到不同工况下的片状弹簧变形与稳定伞伞面形状,通过计算流体动力学(CFD)得到稳定伞气动力的变化趋势。根据气动力结果计算软管的拖拽形状及锥套下沉量。仿真结果表明:所设计的可变阻尼稳定伞的阻力变化量和锥套在空中位置变化范围分别降至传统稳定伞的70%和60%,能够实现阻力的自适应控制,拓宽了传统结构稳定伞适用的速度、高度范围。