无人机低空小捷径飞行研究CSCD

针对无人机低空小捷径飞行要求,分析了无人机飞行航路偏差,计算了飞行安全可靠度,对无人机安控策略进行了设计,确保了小捷径航路飞行要求。     

Modeling and simulation of bow wave effect in probe and drogue aerial refueling

In a probe and drogue aerial refueling system, the bow wave of the receiver aircraft will produce a strong aerodynamic effect on the drogue once the receiver follows the drogue at a close distance. It is a major difficulty of docking control in the probe and drogue refueling. This paper analyses the bow wave effect and presents a simple method to model it. Firstly, the inviscid flow around the receiver is modeled based on the stream function defined by basic stream singularities.Secondly, a correction function is developed to eliminate the error caused by the absence of air viscosity. Then, the aerodynamic coefficients are used to calculate the induced aerodynamic force on the drogue. The obtained model is in an analytical form that can be easily applied to the controller design and the real-time simulations. In the verification part, computational fluid dynamics(CFD)simulation tests are conducted to validate the obtained flow fields and aerodynamic forces. Finally,the modeling method is applied to an F-16 receiver aircraft in a previously developed autonomous aerial refueling simulation system. The simulations results are analyzed and compared with the NASA flight-test data, which demonstrates the effectiveness of the proposed method.     

升力风扇垂直起降无人机死重分析

针对升力风扇垂直起降无人机为了实现垂直起降功能而产生附加的结构重量,以及为加大功率而附加的动力系统重量问题,从总体设计的角度出发,建立了附加重量数学模型,并针对各种设计影响因素进行了分析.研究结果可为升力风扇垂直起降无人机的总体参数设计提供参考.     

无人机通用测控技术

针对国内无人机系统之间缺乏互联、互通、互操作技术标准和能力的问题,研究了无人机通用测控方法和技术实现途径,提出了适用于无人机的通用测控模型、测控接口和描述模型。开发了小型无人机通用测控接口试验验证系统,对所提出的通用测控技术进行了技术验证,实验结果证明了该技术的可行性。     

北斗导航系统及其在无人机上的应用

结合卫星导航系统,对我国自主研发的北斗卫星导航定位系统做了简要介绍。针对其在无人机(UAV)上的典型应用结构,系统地阐述了BD对无人机导航系统的可靠性、精确性、自主性以及机动能力等所起的改善和提升作用,并对其进一步发展提出了建议。     

NOx emissions of turbofan powered unmanned aerial vehicle for complete flight cycle

Unmanned Aerial Vehicles(UAVs) have been getting more and more popular in both civil and military arena. Similar to manned aircraft, their propulsion systems or engines emit harmful gases such as nitrogen oxides. Since UAVs have different mission profiles and operational parameters than manned aircraft, it is worthy to investigate their NO_x emissions. Therefore, in this study, NO_x emissions of a turbofan powered UAV for complete flight cycle was calculated and optimized wit...     

无人机地面站图像预处理系统的设计与应用

为了实现无人机侦察图像的图形字符叠加和预处理,设计了与系统主计算机松耦合的图像处理系统,系统基于DSP技术,通过串行接口控制叠加信息的内容和位置以及滤波增强算法切换,系统封装于独立外置的IU机箱中,有效减小了其与主控制计算机间的相互干扰。对系统组成原理和软硬件实现进行了详细介绍,实验结果表明,系统实现满足性能指标要求,滤波增强功能高效实时,其设计思想对同类型系统具有一定借鉴意义。     

低速长航时无人机垂直突风过载分析

低速中空长航时无人机的升力非线性较强,利用标准离散突风模型和连续紊流模型计算得到的突风过载差别较大.针对该问题,本文采用改进的离散突风模型求解突风载荷,即直接求解突风条件下原始的运动学方程,并在运动历程中考虑非线性升力的影响.结果表明:改进的离散突风模型计算得到的突风载荷明显低于标准离散突风模型所得的载荷,更贴近无人机的实际情况,且改进的离散突风模型与连续紊流模型的计算结果也相近.     

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.     

具有时间约束的无人机遗传算法航迹规划

为无人机进行航迹规划不仅要满足路径的有效性,还需要考虑无人机的到达时间约束.将遗传算法应用于动态环境中无人机的航迹规划,通过编码生成初始航迹,确定合理的适应度函数和进化操作,同时根据要求到达时间约束为每个航迹加入过点速度和到达时间信息,最终搜索规划出可飞且满足时间约束的航迹.在仿真实验中实现了针对移动目标的规划和突然出现威胁的局部重规划.