军用无人地面车辆无源北斗／SINS组合导航系统研究

提出将无源北斗／SINS组合导航系统应用于军用无人地面车辆,采用“紧耦合”方式设计了组合结构,选择伪距为量测量,对量测高程进行了“虚伪距”化处理,建立了三维量测方程,通过间接法进行了扩展卡尔曼滤波设计并进行了仿真。结果表明,位置和速度误差得到了有效抑制,在仿真设定的常规环境噪声条件下,达到了军用无人地面车辆导航的要求。     

An improved adaptive differential evolution algorithm for single unmanned aerial vehicle multitasking

Single unmanned aerial vehicle (UAV) multitasking plays an important role in multiple UAVs cooperative control, which is as well as the most complicated and hardest part. This paper establishes a three-dimensional topographical map, and an improved adaptive differential evolution (IADE) algorithm is proposed for single UAV multitasking. As an optimized problem, the efficiency of using standard differential evolution to obtain the global optimal solution is very low to avoid this problem. Therefore, the algorithm adopts the mutation factor and crossover factor into dynamic adaptive functions, which makes the crossover factor and variation factor can be adjusted with the number of population iteration and individual fitness value, letting the algorithm exploration and development more reasonable. The experimental results implicate that the IADE algorithm has better performance, higher convergence and efficiency to solve the multitasking problem compared with other algorithms.     

The surface activation of boron to improve ignition and combustion characteristic

Boron is a very promising and highly attractive fuel because of high calorific value. However, the practical applications in explosives and propellants of boron have been limited by long ignition delay time and low combustion efficiency. Herein, nano-Al and graphene fluoride (GF) as surface activated materials are employed to coat boron (B) particles to improve ignition and combustion performance. The reaction heat of nano-Al coated B/KNO₃ and GF coated B/KNO₃ are 1116.83 J/g and 862.69 J/g, respectively, which are higher than that of pure B/KNO₃ (823.39 J/g). The ignition delay time of B/KNO₃ could be reduced through nano-Al coating. The shortest ignition delay time is only 75 ms for B coated with nano-Al of 8 wt%, which is much shorter than that of pure B/KNO₃ (109 ms). However, the ignition delay time of B/KNO₃ coated with GF has been increased from 109 to 187 ms. B coated with GF and nano-Al shown significantly influence on the pressure output and flame structure of B/KNO₃. Furthermore, the effects of B/O ratios on the pressure output and ignition delay time have been further fully studied. For B/KNO₃ coated with nano-Al and GF, the highest pressures are 88 KPa and 59 KPa for B/O ratio of 4:6, and the minimum ignition delay time are 94 ms and 148 ms for B/O ratio of 7:3. Based on the above results, the reaction process of boron coated with GF and nano-Al has been proposed to understand combustion mechanism.     

多UAV协同区域覆盖侦察方法

针对多UAV对未知区域的协同覆盖侦察问题,提出了将STC算法与在线局部调整策略相结合的区域覆盖侦察方法.通过建立无重叠覆盖区域的闭合路径,最小化了重复侦察区域,缩短了任务执行时间;通过在线局部调整保证了只要有一架UAV不出现故障,侦察任务就可以正常进行.仿真结果表明,该方法能够有效解决多UAV协同区域覆盖侦察问题,方法...     

采用固液冲压发动机的地空导弹弹道建模

针对采用固液混合冲压发动机的地空导弹弹道设计中出现的新问题, 给出了解决这些问题的弹道设计方法, 并利用弹道仿真对其进行了验证。     

无人机避障航路规划方法研究综述

随着无人机作业空域从中高空不断向低空甚至超低空拓展,复杂的低空障碍环境对无人机造成了严重的威胁。研究无人机避障航路规划理论与方法,对于保障无人机的飞行安全和提升其任务效率具有重要作用。对无人机避障航路规划方法的研究现状进行了梳理,首先,根据航路规划问题所建立的优化模型,将规划方法划分为基于数学规划的方法、基于路标图的方法、基于空间分解的方法、基于势场的方法、基于随机规划的方法和基于机器学习的方法六个大类。然后,分别介绍了各类型方法的基本原理、代表性研究以及优缺点。最后,对避障航路规划方法未来可能的研究方向进行了展望。综述表明,复杂环境下无人机三维航路规划方法的研究仍有提升空间;未来应考虑将传统规划方法与新一代人工智能技术相结合;航路规划方法研究应充分考虑机载传感器的实际性能和工作特性;规划航路的可跟踪性问题也亟待解决。     

从美国无人机的发展来看无人机在未来战争中的应用前景

从军事需求和技术推动出发,全面论述了美国无人机的发展情况,并对实战使用情况、新的无人机系列以及无人机在战争中应用的广泛前景作了分析。     

空地作战地空导弹射击的一种仿真模型研究

空地作战仿真研究中,对地空导弹射击的仿真是非常重要的一环。给出了一种地空导弹对空中目标射击的建模方法,该方法对建立战役、战术级突防或防空仿真试验系统具有较强的实用性和适用性。     

基于遗传算法的目标分配问题研究

通过对地空导弹部队射击指挥中目标分配问题的分析,建立了目标优化分配数学模型。在此基础上,给合遗传算法对模型进行求解。通过在具体实例中的应用表明,采用遗传算法为有效地解决这一复杂组合优化问题提供了一种新途径。     

区域目标搜索中基于改进RRT的UAV实时航迹规划

在线自主航迹规划是无人机(Unmanned Aerial Vehicles,UAV)执行区域目标搜索任务的有效保证.针对UAV区域搜索中航迹规划的实时性要求,提出了一种固定搜索模式和动态搜索模式相结合的UAV自主航迹规划框架.在快速扩展随机树(RRT)方法的基础上,通过改进随机扩展树的节点选择和引入启发式信息,提出了基于改进RRT的UAV实时搜索航迹规划算法,该算法能够有效降低在线航迹规划的时间代价和扩展节点数.仿真实验结果验证了本文方法的有效性.