中制导虚拟目标的定位参数研究

基于虚拟目标的优化导引中制导拦截弹道轨迹及其能耗与虚拟目标的位置紧密相关,决定该位置的参数包括中末制导交班距离和视场基准角等.首先研究了弹道特性随定位参数的变化规律并提出通过滚转实现视场基准角的负取值,在此基础上得出满足多约束条件的虚拟目标定位参数的设置方法.利用该方法所产生的虚拟目标与相应的优化导引律结合,可以很好地满足中制导的要求.     

Market entry strategy in the presence of market spillovers and efficiency differentiation

Firms form various alliances or use brand extensions to enter new markets in order to improve their operational efficiency and create a positive spillover. However, they do not always know the implications of these strategies for market entry and multimarket competition because the sale of products in one market can have negative spillover effects on product sales in other markets. We present an analytical framework to examine whether and how (i.e., by choosing alliance entry or independent entry) competing firms should enter a market in a situation where market spillovers occur when a firm enters a spillover-producing market to sell products that may increase or decrease the consumers' willingness to pay for products in the primary market. Our analysis shows that the operational efficiency (or quality differentiation ability) of firms in a spillover-producing market varies, and hence, the impact of market spillovers differs for firms. We identify the key factors, such as bargaining power, brand value difference in the primary market, and the extent of efficiencies and spillovers, that determine the firms benefitting from the different entry strategies. Specifically, we show that firms would be more willing to choose an alliance strategy to enter a spillover-producing market if the negative spillover is small and alliance efficiency is high. In contrast, if an alliance entry is not favored, the firms' relative operational efficiency is crucial for them to decide whether to enter the market independently under moderate spillover conditions. Finally, we show the implications of market entry strategies for managers.     

爆炸成型弹丸贯穿靶板靶后破片空间分布模型

深空撞击载荷对探测小天体内部物质成分和结构特性具有重要意义,因此,在考虑爆炸成型弹丸(explosively formed projectile, EFP)可变截面的特性和区分靶后破片来源的基础上,建立了EFP贯穿靶板靶后破片空间分布模型。在靶板厚度30 mm至70 mm、EFP着靶速度1 650 m/s至1 860 m/s的条件下,该模型可以定量预测靶后破片云中各个破片的速度、质量、数量与空间位置的关系。结果表明,相对速度总是随相对空间位置的增加而呈线性增加,相对质量、相对数量总是随相对空间位置的增加而呈幂函数增加。     

Investigation of the shock compression behaviors of Al/PTFE composites with experimental and a 3D mesoscale-model

The responses of AI/PTFE reactive materials (RMs) under shock compression were investigated by a single-stage gas gun.A 3D mesoscale-model was established based on micro-computed tomography(micro-CT) slice images and confirmed with experimental results.In the high-pressure stage,the com-posites reacted partially,whereas there were no deviations between the partially reacted Hugoniot and the inert simulation results.The simulation reveals that the Teflon matrix melting on the high shock pressure.Melts and decomposition of the PTFE accelerated the diffusion of the atoms.Thus,the reactions of the Al/PrFE composites are more like a combustion rather than a detonation.     

基于能源互联网背景的储能二次电池技术发展分析

能源互联网是在现有配电网基础上,融合新能源技术和互联网技术,将分布式能源采集装置和分布式能源储存装置联合发展起来的新技术,对于优化能源结构和提高能源利用具有重要的意义。文章以能源互联网对储能电池的需求为背景,首先归纳了能源互联网对于储能电池的要求,在此基础上重点分析了多种可应用于能源互联网的储能电池的性能与特点,并对其未来发展趋势进行了展望。     

基于LabVIEW的推进系统热管理试验台架测控系统设计

设计了能够模拟多个热源变工况的推进系统热管理试验台架测控系统。确定了测控系统方案,进行了硬件设计;选用Lab VIEW作为试验台架测控系统开发平台,通过调用动态链接库对数据采集、控制输出、数据显示、数据保存和超限报警等功能模块进行了分析与编程,完成了软件的设计开发。最后对测控系统进行了试验验证,结果表明:测控系统误差在允许范围内,能够满足热管理试验台架的功能需求。     

装备作战试验设计与评估基本理论研究

针对装备作战试验"为什么试"、"试什么"、"怎么试"、"如何组织试"、"试验结果怎么评"等问题,探析了装备作战试验的基本概念,构建了装备作战试验设计与评估总体框架,论述了装备作战试验目标定位、主要内容、基本方法、组织实施和综合评估等基本理论,为构建装备作战试验理论体系奠定了基础。     

管道机器人直线行进过程中多模式模糊PID控制

针对管道机器人PID控制直线行进过程中的跑偏问题,提出了一种改进的多模式模糊PID控制方法。通过建立集成直线行进偏差维度、阈值更新时间维度和初速度维度模式切换自适应阈值模型,减小了因模式切换造成的时间滞后误差。依托能力风暴AS-UⅢ机器人搭建实验测试平台,获取了不同初始速度下驱动轮的轨迹曲线。对比采用改进控制方法前后的轨迹曲线,验证了多模式模糊PID控制方法的有效性和实用性。     

基于模型概率估计的两层交互多模型算法

在机动目标跟踪问题的研究中,针对转弯机动目标跟踪精度差的问题,设计了一种利用模型概率对模型集合进行实时计算的两层交互多模型算法。该算法由第一层目标转弯速率的粗估计和第二层目标状态向量的精估计构成,它利用第一层模型计算出的目标运动估计转弯速率,构建与当前目标运动状态匹配程度较高的第二层转弯模型集合,并将该转弯模型集合运用于状态估计中。仿真结果证明了该算法在针对转弯机动目标时仍有较好的跟踪精度。     

认知无线网络中不同场景的动态频谱聚合算法

在认知无线电网络中,不连续的频谱片段可以通过频谱聚合来满足认知用户的用频需求。常用的频谱聚合算法有具有聚合能力的频谱分配算法、最大满足算法和最小切换算法等。文章在这几种算法的基础上提出了一种能够预测高级用户出现概率的方法,从而减少网络开销;对于用频需求较大的情况,提出了折中算法和片段最大化算法,增加了可支持的用户数量,并减少了网络开销。仿真结果表明,上述算法具有较好的效果。