基于Eclipse平台的嵌入式软件集成开发环境目标机通信管理

基于Eclipse平台的嵌入式软件集成开发环境已经成为嵌入式软件集成开发环境的主流。嵌入式软件集成开发环境中的各种交叉开发工具依赖于目标机服务器提供的目标机通信管理功能。提出了一种目标机通信管理系统结构,描述了其各功能部件的功能和接口及其主要的工作流程,介绍了其软件架构及其主要的难点技术与解决方法。     

考虑时间约束的无人飞行器航迹规划

在分析时间误差分配的基础上,本文提出了一种考虑时间约束的航迹规划方法.该方法对传统的航迹结构进行了改进,通过速度调整策略和在代价函数中加入时间约束驱使算法找到使到达目标点时间误差尽可能小的航迹.同时,分别研究了起飞时间误差,速度调节能力及飞行速度误差三个因素对到达目标点时间误差的不同影响.     

自动化立体仓库货位优先级生成算法设计

简单描述了自动化立体仓库系统构成,货物存取工作流程;结合堆垛机工作特性及货位综合属性,提出了一种在单作业工作方式下确定货位优先级方法;给出了基于货位优先级的立体仓库出入库算法;货位信息存储采用数据库技术;实验结果表明,系统按优先级实现货位分配与随机分配比较,可以提高系统工作效率。     

基于自抗扰控制的导弹三维制导规律

针对导弹制导系统中存在模型不确定性和外部扰动的特点,提出了利用自抗扰控制器设计导弹三维制导规律的新方法.在建立导弹三维制导模型的基础上,把系统非线性部分、回路间耦合项以及目标机动加速度视为对制导系统的未知总扰动,从而将模型变换为适于自抗扰控制的仿射系统.通过为俯仰和偏航回路分别引入自抗扰控制器,实现了双回路的动态解耦,...     

基于Faster-RCNN 的机场跑道异物识别定位技术研究

针对机场跑道异物(FOD) 识别检测，分析了机场跑道环境特性，建立了针对机场FOD图像识别数据库， 提出了一种基于Faster-RCNN 的机场跑道异物识别定位系统，通过无人机系统对机场跑道进行图像采集，运用 Faster-RCNN 算法框架完成异物种类识别，并结合无人机地理位置信息进行位置换算求解，得到机场FOD 的 类别信息和位置信息。经验证，该系统可高效完成机场FOD 检测识别及定位任务。     

空空导弹单发杀伤概率仿真计算软件

分析了计算导弹单发杀伤概率的必要性,介绍了所编软件中六自由度弹道模型、引战配合模型及杀伤概率模型的建立情况,给出了详细的程序流程图,并通过实例验证了其结果。为正确分析机载导弹武器系统作战效能奠定了基础。     

某型战机追踪导引研究

基于对广泛应用与研究的各种比例导引律的比较与分析，提出应用纯比例导引实现战机追踪导引的方法，并通过追踪以不同机动方式逃逸的飞行目标的仿真，说明了它的正确性与可行性。     

一种航空武器悬持模拟器

介绍了航空武器悬挂模拟控制器的设计方法,并给出了较为详细的硬件组成及软件设计方法。     

Strategic flight assignment approach based on multi-objective parallel evolution algorithm with dynamic migration interval

The continuous growth of air traffic has led to acute airspace congestion and severe delays, which threatens operation safety and cause enormous economic loss. Flight assignment is an economical and effective strategic plan to reduce the flight delay and airspace congestion by reasonably regulating the air traffic flow of China. However, it is a large-scale combinatorial optimization problem which is difficult to solve. In order to improve the quality of solutions, an effective multi-objective parallel evolution algorithm(MPEA) framework with dynamic migration interval strategy is presented in this work. Firstly, multiple evolution populations are constructed to solve the problem simultaneously to enhance the optimization capability. Then a new strategy is proposed to dynamically change the migration interval among different evolution populations to improve the efficiency of the cooperation of populations. Finally, the cooperative co-evolution(CC) algorithm combined with non-dominated sorting genetic algorithm II(NSGA-II) is introduced for each population. Empirical studies using the real air traffic data of the Chinese air route network and daily flight plans show that our method outperforms the existing approaches, multiobjective genetic algorithm(MOGA), multi-objective evolutionary algorithm based on decomposition(MOEA/D), CC-based multi-objective algorithm(CCMA) as well as other two MPEAs with different migration interval strategies.     

Super twisting controller for on-orbit servicing to non-cooperative target

A relative position and attitude coupled controller is proposed for rendezvous and docking between two docking ports located in different spacecraft. It is concerned with servicing to a tumbling non-cooperative target spacecraft in arbitrary orbit subjected to external disturbances.By considering both kinematic and dynamical coupled effects of relative rotation on relative translation, a coupled dynamic model is established to represent the relative motion of docking port on target spacecraft with respect to another on the service spacecraft. The spacecraft control is based on the second order sliding mode algorithm of super twisting(ST). It is schemed to manipulate the relative position and attitude synchronously. A formal proof of the finite time convergence property of the closed-loop system is derived theoretically by the second method of Lyapunov. Numerical simulations with the designed ST controller are presented to validate the analytic analysis by contrast with the twisting control algorithm. Simulation results demonstrate that the proposed relative position and attitude integrated controller is characterized by high precision, strong robustness and high reliability.