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, wh...     

考虑UAV性能约束的变速度自主避障算法研究

动态不确定环境下,为有效地提升UAV执行任务的安全性和可靠性,在UAV自主避障过程中考虑了自身的性能约束条件.在速度障碍圆弧法的基础上,考虑UAV的法向和纵向加速度约束范围,研究了速度障碍圆弧随速度矢量变化的规律,提出了一种考虑UAV性能约束的变速度自主避障算法.该算法在考虑自身性能约束条件下,为实现UAV对威胁障碍的...     

Periodic event-triggered formation control for multi-UAV systems with collision avoidance

In this paper, periodic event-triggered formation control problems with collision avoidance are studied for leader–follower multiple Unmanned Aerial Vehicles (UAVs). Firstly, based on the Artificial Potential Field (APF) method, a novel sliding manifold is proposed for controller design, which can solve the problem of collision avoidance. Then, the event-triggered strategy is applied to the distributed formation control of multi-UAV systems, where the evaluation of the event condition is continuous. In addition, the exclusion of Zeno behavior can be guaranteed by the inter-event time between two successive trigger events have a positive lower bound. Next, a periodic event-triggered mechanism is developed for formation control based on the continuous event-triggered mechanism. The periodic trigger mechanism does not need additional hardware circuits and sophisticated sensors, which can reduce the control cost. The stability of the control system is proved by the Lyapunov function method. Finally, some numerical simulations are presented to illustrate the effectiveness of the proposed control protocol.     

构建以"两个能力"培养为核心的航修人才培养新模式

根据现代航空装备发展的需要，提出了既有较强的岗位任职能力，又有较强的装备改装发展能力的新型航修人才培养模式。     

海上多任务飞机与无人机协同反潜作战研究

海上多任务飞机将成为海军执行海上巡逻侦察和反潜作战的主力航空武器装备,海上多任务飞机与无人机联合编队进行协同反潜作战将是未来航空反潜的发展趋势和重要作战方式之一。介绍P-8A海上多任务飞机主要系统配置和作战能力,分析海上多任务飞机的作战使用以及海上多任务飞机与无人机协同作战的概念和模式,包括协同态势感知和协同攻潜作战,指出了未来海上多任务飞机与无人机协同作战涉及的主要关键技术。     

机载雷达测控站性能分析CSCD

陆基、海基测控设备在跟踪低空特别是超低空飞行目标时受视距影响大,作用距离有限,而机载测控站作为空中测量平台,不受视距影响,有很大发展空间。介绍了机载测控站的组成、功能和工作原理,分析了机载测控站相关参数关系和工作能力,提出了提高跟踪能力的方法措施;给出了系统跟踪距离计算公式,通过几种典型目标速度分析了系统的跟踪能力,并与陆基、海基测控设备的跟踪能力进行了比对。结果表明,机载测控站在跟踪低空目标时作用距离较远,在低弹道大射程目标飞行试验中具有较大的应用空间。     

航空武器装备项目过程评估指标体系的构建

分析了航空武器装备项目的特点,提出了航空武器装备项目过程评估指标体系的设计原则;结合项目管理的相关知识,提出了航空武器装备项目过程评估的指标体系,并探讨了运用灰色关联理论确定评价指标权重的方法步骤.     

基于阶层标识的无人机自主精准降落系统

随着微小型无人机（UAV）在航拍、测绘、环境监测、快递投送等民用领域的广泛应用,对微小型无人机的可用性和可靠性提出了更高的要求。为了使微小型无人机能够精确地完成自主降落,由于计算机视觉部署成本低、独立性强、信息丰富等特点,提出了通过识别匹配一种多层嵌套二维编码的阶层降落标识来进行相对定位的算法,并展示了与之对应的阶层标识检测及定位的无人机自主降落系统,由于编码的信息量与其他系统相比,具有高低空的高识别率、编码空间大等特点,故此系统可同时支持单个或多个停机坪的配置,且成本低廉,无需添加机载设备成本。最后对该系统进行仿真验证和实飞测试,表明所提出算法能够有效地实现无人机全自主降落。     

UAV navigation in high dynamic environments: A deep reinforcement learning approach

Unmanned Aerial Vehicle (UAV) navigation is aimed at guiding a UAV to the desired destinations along a collision-free and efficient path without human interventions, and it plays a crucial role in autonomous missions in harsh environments. The recently emerging Deep Reinforcement Learning (DRL) methods have shown promise for addressing the UAV navigation problem, but most of these methods cannot converge due to the massive amounts of interactive data when a UAV is navigating in high dynamic environments, where there are numerous obstacles moving fast. In this work, we propose an improved DRL-based method to tackle these fundamental limitations. To be specific, we develop a distributed DRL framework to decompose the UAV navigation task into two simpler sub-tasks, each of which is solved through the designed Long Short-Term Memory (LSTM) based DRL network by using only part of the interactive data. Furthermore, a clipped DRL loss function is proposed to closely stack the two sub-solutions into one integral for the UAV navigation problem. Extensive simulation results are provided to corroborate the superiority of the proposed method in terms of the convergence and effectiveness compared with those of the state-of-the-art DRL methods.     

Modeling and simulation of a time-varying inertia aircraft in aerial refueling

Studied in this paper is dynamic modeling and simulation application of the receiver aircraft with the time-varying mass and inertia property in an integrated simulation environment which includes two other significant factors, i.e., a hose–drogue assembly dynamic model with the variable-length property and the wind effect due to the tanker's trailing vortices. By extending equations of motion of a fixed weight aircraft derived by Lewis et al., a new set of equations of motion for a receiver in aerial refueling is derived. The equations include the time-varying mass and inertia property due to fuel transfer and the fuel consumption by engines, and the fuel tanks have a rectangle shape rather than a mass point. They are derived in terms of the translational and rotational position and velocity of the receiver with respect to an inertial reference frame. A linear quadratic regulator(LQR) controller is designed based on a group of linearized equations under the initial receiver mass condition. The equations of motion of the receiver with a LQR controller are implemented in the integrated simulation environment for autonomous approaching and station-keeping of the receiver in simulations.