尾座式无人飞行器鲁棒容错编队控制

针对尾座式无人飞行器编队在执行器故障、严重的非线性和耦合性、参数不确定性、外界扰动等影响下的容错控制问题进行了研究。提出了一种鲁棒容错编队控制方法来实现一群尾座式无人飞行器在执行器故障情况下的期望编队飞行。所构建的控制器由2部分组成：标称控制器和干扰补偿控制器。设计标称控制器使系统实现期望的控制性能,利用干扰补偿控制器抑制多种不确定性和执行器故障的影响。通过理论分析证明了系统的鲁棒稳定性,并通过数值仿真验证了算法的有效性。     

Adaptive path planning for unmanned aerial vehicles based on bi-level programming and variable planning time interval

This paper presents an adaptive path planner for unmanned aerial vehicles (UAVs) to adapt a real-time path search procedure to variations and fluctuations of UAVs’ relevant performances, with respect to sensory capability, maneuverability, and flight velocity limit. On the basis of a novel adaptability-involved problem statement, bi-level programming (BLP) and variable planning step techniques are introduced to model the necessary path planning components and then an adaptive path planner is developed for the purpose of adaptation and optimization. Additionally, both probabilistic-risk-based obstacle avoidance and performance limits are described as path search constraints to guarantee path safety and navigability. A discrete-search-based path planning solution, embedded with four optimization strategies, is especially designed for the planner to efficiently generate optimal flight paths in complex operational spaces, within which different surface-to-air missiles (SAMs) are deployed. Simulation results in challenging and stochastic scenarios firstly demonstrate the effectiveness and efficiency of the proposed planner, and then verify its great adaptability and relative stability when planning optimal paths for a UAV with changing or fluctuating performances.     

地面防空武器面临的威胁及信息化发展趋势

随着高信息技术在军事领域的广泛应用,防空作战面临着越来越严峻的挑战.主要探讨了信息化战争中地面防空武器面临的主要威胁,分析了防空作战新发展,并对地面防空武器信息化的发展趋势进行了阐述.     

基于非线性动态逆的无人机自动着陆控制系统

采用非线性动态逆(NDI)控制方法来解决无人机(UAV)自动着陆阶段的非线性控制问题。建立了无人机非线性数学模型,应用奇异摄动理论对飞机动态进行时标划分,研究快、慢状态子系统的控制器及机动产生器的设计,在无风情况下以及受到给定值风扰动情况下完成了系统自动着陆仿真验证。系统仿真结果表明该控制系统能够满足系统控制精度要求。     

某型无人机导轨起飞装置气液压能源系统的应用

介绍了以气囊式蓄能器和液压缸为主构成的某型无人机导轨发射装置的气液压能源系统，并对气囊式蓄能器和液压缸的动态参数特性及其匹配关系进行了理论分析计算和动态特性试验。计算和试验结果表明，该气液压能源系统所确定的气液压能转换成机械能后能够满足无人机起飞所需的动力，并在某型无人机导轨发射装置中得到了工程应用。     

旋转光楔散斑照相术

本文提出了动态散斑照的一种新方法－旋转光楔散斑照相术，文中给出了理论分析及实验结果。该方法不仅能在一张记录介质上记录物体动变形的各状态的多通道散斑图，而且用全场滤波分析时，能方便地同时给出所有通道上的物体变形信息，得到清晰的、高衬比的干涉条纹图。这种方法是利用旋转光楔照相机来实现多通道动态散斑记录，具有设备简单、用途广泛等优点。文中给出了实测结果，理论分析与实验结果是吻合的。     

靶机挂载可变 RCS龙勃透镜时的 RCS起伏特性

训练用靶机尺寸远小于实战中的飞机,其 RCS数值大小和起伏特性与飞机存在较大的差别。为了以低廉的价格为部队训练提供高逼真度的模拟靶机,在靶机机头、翼下等位置放置一定样式的可变 RCS龙勃透镜,可以得到类似实战中飞机的 RCS特性。通过控制龙勃透镜的反射面位置可以改变其 RCS数值,实现模拟靶机 RCS的数值变化。采用靶机挂载可变 RCS龙勃透镜对 MQ-1无人机前向 RCS起伏特性进行了模拟,取得了较好的效果,可为采用靶机挂载可变 RCS龙勃透镜模拟作战飞机的全向 RCS特性提供借鉴。     

Cascade-type guidance law design for multiple-UAV formation keeping

A procedure to compute guidance commands for controlling the relative geometry of multiple unmanned aerial vehicles (UAVs) in formation flight is proposed. The concepts of branch, global leader, and local leader/follower are used to represent the whole formation geometry. A positive-definite function defined in terms of the formation error is then introduced and the Lyapunov stability theorem is used to obtain the cascade type guidance law. This scheme leads to the synchronized flight of all UAVs while maintaining formation geometry. The results of a high fidelity nonlinear simulation of a reconnaissance and surveillance mission example are presented to show the effectiveness of the proposed guidance law.     

Static strength analysis of dragonfly inspired wings for biomimetic micro aerial vehicles

This article examines the suitability of fabricating artificial, dragonfly-like, wing frames from materials that are commonly used in unmanned aircraft(balsa wood, black graphite carbon fiber and red prepreg fiberglass). Wing frames made with Type 321 stainless steel are also examined for comparison. The purpose of these wings is for future use in biomimetic micro aerial vehicles(BMAV). BMAV are a new class of unmanned micro-sized aerial vehicles that mimic flying biological organisms(like flying insects). Insects, such as dragonflies, possess corrugated and complex vein structures that are difficult to mimic. Simplified dragonfly-like wing frames were fabricated from these materials and then a nano-composite film was adhered to them, which mimics the membrane of an actual dragonfly. Finite element analysis simulations were also performed and compared to experimental results. The results showed good agreement(less than 10% difference for all cases).Analysis of these results shows that stainless steel is a poor choice for this wing configuration, primarily because of the aggressive oxidation observed. Steel, as well as balsa wood, also lacks flexibility. In comparison, black graphite carbon fiber and red prepreg fiberglass offer some structural advantages, making them more suitable for consideration in future BMAV applications.     

Real-time trajectory planning for UCAV air-to-surface attack using inverse dynamics optimization method and receding horizon control

This paper presents a computationally efficient real-time trajectory planning framework for typical unmanned combat aerial vehicle (UCAV) performing autonomous air-to-surface (A/S) attack. It combines the benefits of inverse dynamics optimization method and receding horizon optimal control technique. Firstly, the ground attack trajectory planning problem is mathematically formulated as a receding horizon optimal control problem (RHC-OCP). In particular, an approximate elliptic launch acceptable region (LAR) model is proposed to model the critical weapon delivery constraints. Secondly, a planning algorithm based on inverse dynamics optimization, which has high computational efficiency and good convergence properties, is developed to solve the RHCOCP in real-time. Thirdly, in order to improve robustness and adaptivity in a dynamic and uncer- tain environment, a two-degree-of-freedom (2-DOF) receding horizon control architecture is introduced and a regular real-time update strategy is proposed as well, and the real-time feedback can be achieved and the not-converged situations can be handled. Finally, numerical simulations demon- strate the efficiency of this framework, and the results also show that the presented technique is well suited for real-time implementation in dynamic and uncertain environment.