A new modeling scheme for powered parafoil unmanned aerial vehicle platforms: Theory and experiments

A novel framework is established for accurate modeling of Powered Parafoil Unmanned Aerial Vehicle (PPUAV). The model is developed in the following three steps: obtaining a linear dynamic model, simplifying the model structure, and estimating the model mismatch due to model variance and external disturbance factors. First, a six degree-of-freedom linear model, or the structured model, is obtained through dynamic establishment and linearization. Second, the data correlation analysis is adopted to determine the criterion for proper model complexity and to simplify the structured model. Next, an active model is established, combining the simplified model with the model mismatch estimator. An adapted Kalman filter is utilized for the real-time estimation of states and model mismatch. We finally derive a linear system model while taking into account of model variance and external disturbance. Actual flight tests verify the effectiveness of our active model in different flight scenarios.     

Real-time object tracking via least squares transformation in spatial and Fourier domains for unmanned aerial vehicles

This paper addresses the problem of real-time object tracking for unmanned aerial vehicles. We consider the task of object tracking as a classification problem. Training a good classifier always needs a huge number of samples, which is always time-consuming and not suitable for realtime applications. In this paper, we transform the large-scale least-squares problem in the spatial domain to a series of small-scale least-squares problems with constraints in the Fourier domain using the correlation filter technique. Then, this problem is efficiently solved by two stages. In the first stage, a fast method based on recursive least squares is used to solve the correlation filter problem without constraints in the Fourier domain. In the second stage, a weight matrix is constructed to prune the solution attained in the first stage to approach the constraints in the spatial domain. Then, the pruned classifier is used for tracking. To evaluate proposed tracker's performance, comprehensive experiments are conducted on challenging aerial sequences in the UAV123 dataset. Experimental results demonstrate that proposed approach achieves a state-ofthe-art tracking performance in aerial sequences and operates at a mean speed of beyond 40 frames/s. For further analysis of proposed tracker's robustness, extensive experiments are also performed on recent benchmarks OTB50, OTB100, and VOT2016.     

吸气式高超声速飞行器非均匀尾喷流试验

在中国空气动力研究与发展中心0.5m高超声速风洞中,开展了非均匀喷流条件下的吸气式高超声速飞行器后体尾喷流/外流干扰测压试验研究。采用非均匀内喷管,模拟飞行器尾喷管非均匀入流,测量了飞行器后体膨胀面及水平翼表面压力,采用高清纹影观测了喷流干扰区域的流场结构,获得了不同工况下非均匀入流对尾部及水平翼表面压力分布的影响规律。试验结果显示尾喷管非均匀入流对飞行器尾部壁面压力分布及流场结构有明显影响,喷管入流的非均匀特征在吸气式高超声速飞行器喷流模拟中不可忽视。非均匀喷流核心区压力分布明显高于均匀喷流时的结果;核心区域外,非均匀喷流的作用面积略小于均匀喷流,且非均匀喷流同外流交叉干扰区域的面积和强度要略小于均匀喷流;均匀喷流在喷管出口区域存在明显的膨胀波系,交叉干扰激波及剪切层的扩张角也大于非均匀入口条件时的结果。     

波音健康管理工程环境浅析

健康管理工程环境(HMEE)是由项目分析与建模环境、开发环境、使用环境等三部分构成的一个开放式健康管理集成与实验平台,将来自于工业部门、学术界以及政府技术基地的健康管理技术集成起来,转化成成熟、实用的飞行器综合健康管理(IVHM)系统.本文简要介绍了构成HMEE的三部分的目标和功能,以及所提供的相关工具、技术和过程.     

无人机机载武器装备的新进展及其启示

介绍了国外无人机机载精确制导武器的最新进展,得出了关于无人机武器装备的启示,希望能够促进我国无人机机载武器装备领域的研究.     

飞行器轨迹优化方法综述

飞行器轨迹优化是飞行器总体设计的关键环节,特别是在现代空间飞行器和高超声速飞行器设计过程中发挥着重要作用.在全面调研国内外现有轨迹优化技术的基础上,提出了飞行器轨迹优化新的分类方式,概述了多种飞行器轨迹优化的原理和应用,并详细分析了各自的优缺点和发展趋势.最后介绍了现在实际应用的多种轨迹优化软件.     

高超声速飞行器滑行段最优弹道的间接算法

针对高超声速飞行器滑行段非线性程度高的特点,提出了逐步细分的参数法优化策略,采用序列二次规划(SQP)算法得到了问题的次优解.在此基础上,构建了原系统的等价系统,并给出了两个系统协态变量之间的关系,提出了沿次优弹道的分段打靶法,求解等价系统的两点边值问题(TPBVP) 后,经转化得到了原问题的最优解.优化结果表明,采用逐步细分的优化策略能克服优化算法对初值敏感的缺点,快速稳定地收敛到问题的解,沿次优弹道的分段打靶法更能适应非线性程度高的系统.     

飞行器管理系统需求

飞行器管理系统(VMS)将飞行、推进控制与相关的公管系统综合.飞行器管理系统的概念为性能改善带来了巨大的好处,同时对可靠性、维修性和保障性有重大改善.未来高性能的飞机将具有多操纵面/效应器以保证机动性,利用飞行/推进综合控制实现性能收益.随着更多系统的参与,综合设计的难度会增加.为确保VMS的实际应用,需要明确其计算和...     

基于物理规划的高超声速飞行器滑翔式再入轨迹优化

 轨迹优化是新型高超声速滑翔式再入飞行器方案设计的关键技术之一。物理规划方法能够以较低的计算代价获得设计者偏好的多目标优化问题的折中解。基于该方法研究滑翔式再入最优飞行轨迹。首先介绍物理规划方法求解多目标优化问题的数学模型,然后将考虑射程最大、热载最小、热流密度峰值最小和弹道最稳定4个目标的再入最优轨迹问题纳入物理规划的框架求解。以某带翼锥形再入飞行器为例,通过计算并分析单目标优化结果,确定具体的偏好结构,采用遗传算法求解了考虑热流、过载、动压和终端条件约束的多目标最优轨迹。优化计算结果验证了物理规划方法的有效性。分析了沿最优轨迹飞行的物理原因和基本迎角控制规律,可为滑翔式再入飞行器的最优轨迹方案设计提供依据。     

机动目标拦截末制导状态估计器的误差特性

 针对大机动目标拦截问题,分析了末制导阶段目标机动条件下状态估计器的误差特性。首先将目标机动输入未知时的状态估计器模型表示为一随机线性混合系统,当混合系统的模式跳变事件满足可观测性条件时,模式决策过程可等效为真实模式的延迟;随后推导了模式决策延迟条件下估计误差的动态方程与传递函数,并得到了一定误差要求下模式决策延迟的上界与目标机动模式逗留时间的下界;最后通过空空导弹拦截高速战机的典型实例验证了该理论分析的正确性。研究结果为设计此类线性混合系统估计器提供了理论依据。