Semi-global leader-following consensus-based formation flight of unmanned aerial vehicles

In this paper, we investigate a formation control problem of multi-agent systems(specifically a group of unmanned aerial vehicles) based on a semi-global leader-following consensus approach with both the leader and the followers subject to input saturation. Utilizing the low gain feedback design technique, a distributed static control protocol and a distributed adaptive control protocol are constructed. The former solves the problem under an assumption that the communication network is undirecte...     

Robust leaderless time-varying formation control for unmanned aerial vehicle swarm system with Lipschitz nonlinear dynamics and directed switching topologies

This paper tackles the robust leaderless Time-Varying Formation(TVF) control problem for the Unmanned Aerial Vehicle(UAV) swarm system with Lipschitz nonlinear dynamics, external disturbances and directed switching topologies. In comparison with the previous achievements on formation control problems, the UAV swarm system with Lipschitz nonlinear dynamics can accomplish the pre-designed TVF while tracking a pre-given trajectory which is produced by a virtual leader UAV in the presence of externa...     

无人直升机遥控系统关键技术研究

遥控系统是无人驾驶直升机控制系统的主要组成部分。文中对其遥控指令、可靠性、实时性和安全性等关键技术进行介绍。这些技术已用于某型无人驾驶直升机的设计 ,这些技术简单、实用 ,实施结果运行情况良好 ,能较好地满足飞行控制要求。     

无人机电子战

系统地阐述了无人机电子战的任务，包括电子支援（测向、定位）、电子进攻（主要有有源干扰、无源干扰、硬杀伤）以及电子防护。从原理上对无人机电子战的性能进行了分析，指出其优越性。     

变构型跨介质飞行器发展及关键技术分析

变构型跨介质飞行器就是既能满足在水下航行又能满足在空中飞行要求的飞行器,在具备水下航行隐蔽特性的同时也满足在空中飞行的机动性和灵活性要求。变构型跨介质飞行器可以通过改变其翼型结构适用于空气中与水中航行。该飞行器结合了无人机和潜艇的优势,可以实现多次出入水跨介质作业,在军事领域应用于战场关键信息侦察、突防和精确打击,在民用领域应用于海上灾难救援、深海地质探测等。从军事和民用方面分析了变构型跨介质飞行器的优势及用途,总结了国内外变构型跨介质飞行器发展现状,针对性地梳理了关键技术和难点问题,在此基础上提出了技术发展建议,为后续跨介质飞行器研究工作提供支撑。     

模块化可重构无人机机翼结构优化方法研究

模块化可重构无人机设计工况复杂、约束多样,需要根据不同设计思想的特点研究适用的优化方法才能得到最优方案。本文开展针对多模型的同步优化方法研究,给出不同构型机翼翼根弯矩约束方法,提出多构型机翼结构前后梁弯矩比例约束下的同步优化技术,并以某模块化可重构无人机机翼为对象进行应用验证。结果表明：与文献中模块化机翼优化结果相比,本文多构型机翼结构同步优化方法在解决整机翼更换的模块化可重构机翼结构优化问题时具有很高的适用性和收敛性,以及广阔的工程推广价值。     

Sliding mode tracking control for miniature unmanned helicopters

A sliding mode control design for a miniature unmanned helicopter is presented. The control objective is to let the helicopter track some predefined velocity and yaw trajectories. A new sliding mode control design method is developed based on a linearized dynamic model. In order to facilitate the control design, the helicopter’s dynamic model is divided into two subsystems,such as the longitudinal-lateral and the heading-heave subsystem. The proposed controller employs sliding mode control technique to compensate for the immeasurable flapping angles’ dynamic effects and external disturbances. The global asymptotic stability(GAS) of the closed-loop system is proved by the Lyapunov based stability analysis. Numerical simulations demonstrate that the proposed controller can achieve superior tracking performance compared with the proportionalintegral-derivative(PID) and linear-quadratic regulator(LQR) cascaded controller in the presence of wind gust disturbances.     

面向城市飞行安全的无人机离散型多路径规划方法

为了提高无人机（UAV）在城市环境中运行的安全性,且能生成多条备选路径,提出一种离散型城市环境下基于无人机飞行安全的多路径规划方法。根据定义的城市环境模型、无人机的飞行规则和安全性原则,建立无人机飞行安全性分析模型和离散型多路径规划问题的数学模型。为提高算法的收敛速度和解的优质性,以及使算法能够同时输出多条路径,针对蚁群（ACO）算法的运行机制,设计聚类算子,提出改进聚类蚁群（CIACO）算法。实验结果表明,所提方法能够快速的收敛输出多条风险值较低的飞行路径。     

Robust fault detection and optimization for a network of unmanned vehicles with imperfect communication channels

The observer-based robust fault detection and optimization for a network of unmanned vehicles with imperfect communication channels and norm bounded modeling uncertainties are addressed. The network of unmanned vehicles is modeled as a discrete-time uncertain Markovian jump system. Based on the model, a residual generator is constructed and the sufficient condition for the existence of the desired fault detection filter is derived in terms of linear matrix inequality. Furthermore, a time domain optimization approach is proposed to improve the performance of the fault detection system. The problem of detecting small faults can be formulated as an optimization problem and its solution is given. For preventing false alarms, a new adaptive threshold function is established. The combined fault detection and optimization algorithm and the adaptive threshold are then applied to a network of highly maneuverable technology vehicles to illustrate the effective- ness of the orooosed aooroach.     

无人机防相撞空中威胁态势的探测与告警研究

空中威胁态势探测与告警是无人机飞行防相撞预警的关键。为此,提出一种基于航迹预测的无人机防相撞空中威胁态势探测与告警方法。在该方法中,先采用滑动窗多项式拟合法对入侵机航迹进行动态预测,然后,在航迹预测基础上,利用无人机与入侵机飞行信息,建立针对入侵机的无人机动态避撞区,最后,结合静态保护区原理,对特定飞行场景下的无人机飞行冲突趋势、空中危险接近趋势和飞行碰撞趋势的探测与告警。仿真实例验证了所提出方法的有效性,也验证了其用于无人机飞行防相撞预警的可行性。