多约束下的高超声速飞行器三维非线性自适应末制导律

面向多约束下高超声速飞行器末制导过程中的通道耦合、参数扰动、模型失配等突出问题,设计一种适于高超声速飞行器的三维非线性自适应末制导律。为了模型描述的完整性和简洁性,引入视线旋量和旋量速度的概念,并基于此建立三维制导参考模型和实际系统的表达式;为了保证制导律的鲁棒性和自适应性,基于自适应控制理论,设计一种三维非线性自适应制导律;通过数学推导证明了该制导律的稳定性。该制导律能够从理论上克服高超声速飞行器末制导面临的通道耦合、参数扰动、模型失配等突出问题,满足多约束制导要求。仿真结果验证了所设计制导律的有效性。     

Research on simultaneous localization and mapping for AUV by an improved method: Variance reduction FastSLAM with simulated annealing

At present, simultaneous localization and mapping (SLAM) for an autonomous underwater vehicle (AUV) is a research hotspot. Aiming at the problem of non-linear model and non-Gaussian noise in AUV motion, an improved method of variance reduction fast simultaneous localization and mapping (FastSLAM) with simulated annealing is proposed to solve the problems of particle degradation, particle depletion and particle loss in traditional FastSLAM, which lead to the reduction of AUV location estimation accuracy. The adaptive exponential fading factor is generated by the anneal function of simulated annealing algorithm to improve the effective particle number and replace resampling. By increasing the weight of small particles and decreasing the weight of large particles, the variance of particle weight can be reduced, the number of effective particles can be increased, and the accuracy of AUV location and feature location estimation can be improved to some extent by retaining more information carried by particles. The experimental results based on trial data show that the proposed simulated annealing variance reduction FastSLAM method avoids particle degradation, maintains the diversity of particles, weakened the degeneracy and improves the accuracy and stability of AUV navigation and localization system.     

超急速爆发沸腾研究的新实验方法

在总结分析前人实验方法的优缺点基础上 ,在国内首次建成了超急速爆发实验台 ,其特点如下 :加热和测温信号互不干扰 ,温度测量频响快、精度高 ,且避免了测量滞后 ,温度测量动态响应时间小于 1μs ;采用高压电火花放电技术 ,高速照相速度快 ;采用了汽泡轮廓清晰并可以研究整个过程以及光源强度要求低的侧照方式 .照相最高放大倍数可达 10 0倍 ,研究范围为 1～ 90 0 μs .     

再入飞行器弹道系数的自适应估计

运用Kalman滤波方法对再入飞行器的跟踪问题进行了分析,在动力学噪声已知的情况下,给出了一种弹道系数的自适应估计方法;在动力学噪声未知时,给出了弹道系数和动力学噪声方差的自适应估计方法。仿真算例表明这种方法是合理有效的。     

无人机在电子战中的作用

现代战争是高技术的信息战、电子战。无人机是一种无人驾驶飞行器,由于其具有隐蔽性好、造价低廉、机动灵活、不惧伤亡等特点,在未来的电子战中,无人机可用于现代战争中的战场侦察、电子干扰、电子辐射等电子战的各个环节。随着无人机技术的不断发展,无人机在现代战争中必将起到越来越重要的作用。     

GPS姿态测量技术综述

利用GPS进行载体姿态测量是GPS应用的重要分支,是目前国内外研究的热点之一.与传统的姿态测量系统相比,GPS姿态测量系统成本低廉,精度适中.与GPS定位技术相比,它是GPS应用的一个全新领域.文中综述了目前正受到广泛重视的多天线GPS姿态测量技术,并提出了该技术研究发展的方向.     

装甲车辆计划预防工作时机及范围的确定

利用装甲车辆使用中的可靠性统计数据,确定装置(构件)计划预防工作时机的方法,论述了从单一装置(构件)的计划预防工作,向整车的计划预防工作转化时装甲车辆计划预防时机及范围的确定原则,对装甲车辆部署初期的保养间隔期和修理间隔期的确定或修订具有理论及实践上的指导意义;给出了根据装置(构件)技术状态检测结果,独立确定装置(构件)计划预防工作时机的方法、实例以及需要解决的关键技术问题。     

“装甲车辆驾驶“课程教学改革与实践

根据新型军事工程复合型人才的培养目标和新教学大纲的特点,阐述了“装甲车辆驾驶”课程教学改革的必要性,研究制定了该课程的试行教学大纲的实施方案,与以往“装甲车辆驾驶”课程的实施方案、考核方式等进行了对比分析,结合教学改革工作的实践,系统总结了所取得的成果。实践证明,这项教学改革是必须的、科学的、合理的、可行的,教学改革具有极大的推广和应用前景。     

高速磁浮列车气隙磁场测量系统的研究

介绍了高速磁浮列车气隙磁场测量系统研制中的几项关键技术,提出了三维磁敏传感器的设计方法和基于霍尔元件的电压比磁场测量法,并设计了传感器的高精度运动控制系统。所研制的系统具有较高的测磁精度和定位精度,实现了高速磁浮列车气隙磁场的自动测量。     

Clustered coverage orienteering problem of unmanned surface vehicles for water sampling

This study investigates a clustered coverage orienteering problem (CCOP), which is a generalization of the classical orienteering problem. The problem is widely motivated by the emerging unmanned techniques (eg, unmanned surface vehicles and drones) applied to environmental monitoring. Specifically, the unmanned surface vehicles (USVs) are used to monitor reservoir water quality by collecting samples. In the CCOP, the water sampling sites (ie, the nodes) are grouped into clusters, and a minimum number of nodes must be visited in each cluster. With each node representing a certain coverage area of the water, the objective of the CCOP is to monitor as much as possible the total coverage area in one tour of the USV, considering that overlapping areas provide no additional information. An integer programming model is first formulated through a linearization procedure that captures the overlapping feature. A two-stage exact algorithm is proposed to obtain an optimal solution to the problem. The efficiency and effectiveness of the two-stage exact algorithm are demonstrated through experiments on randomly generated instances. The algorithm can effectively solve instances with up to 60 sampling sites.