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。     

含轴间距误差的消隙齿轮刚柔耦合动力学仿真

轴间距误差对消隙齿轮精度和性能有重要影响,但其机理和规律并不清楚。基于接触碰撞力约束关系建立齿轮接触动力学模型,进一步利用ADAMS/Flex建立单级消隙齿轮传动系统的刚柔耦合模型,通过刚柔耦合动力学仿真研究消隙齿轮传动在不同轴间距制造误差条件下的振动及频率特性。研究发现:随着轴间距的减小,扭簧的平均力矩增大,齿轮齿面间的啮合力矩以及摩擦力矩也将增大,从而阻碍扭矩的正常传递,并导致固定齿轮转速幅值降低;随着轴间距的增大,固定齿轮主谐振频率整体上降低,而且在轴间距稍大于标准中心距时降低很快。这一发现可指导消隙齿轮传动的设计和装配。     

多级电磁线圈发射器时序触发控制策略

为优化多级同步感应线圈电磁发射器性能,以提高发射速度和能量转换效率为检验指标,以影响上述指标的触发时序为优化对象,采用遗传算法建立单级同步感应线圈型电磁发射器触发位置优化数学模型,计算最佳触发位置,通过数值和有限元两种仿真系统对优化结果的正确性进行验证。采用该方法对两级以及十级同步感应线圈型电磁发射器的触发时序进行优化研究,并进行仿真验证。为解决仿真系统误差问题,提出采用动子线圈在各级的触发位置和速度作为控制因素的双控触发方式,并研究分析仿真过程中触发开关的随机抖动对出口速度误差的影响,得到最佳触发时序控制策略。     

基于变结构的应急航材调度策略

针对应急航材需求的随机性提出了变结构应急航材配送网络的概念,立足于物流运输车辆的优化调度,将现代优化算法引入应急航材的调度中,通过仿真算例的验证可以得出调运路径长度及应急航材需求量与调运时间成正比。     

金属泡沫断裂韧性的试验研究

金属泡沫在其实际应用中,断裂性能和断裂韧性对于承载的多孔金属泡沫有着重要的意义。基于美国试验材料学会相关标准,采用三点弯曲试样测定了铝泡沫的I型断裂韧性。研究表明,金属泡沫的断裂为脆性断裂,在裂纹尖端附近,孔壁最薄弱的区域最容易发生变形;随着进一步加载,一些孔壁发生断裂,微裂纹在断裂尖端附近出现。随着载荷的增加,主裂纹在缺口根部形成或由微裂纹合并而成,并开始在多孔结构内传播。裂纹沿着结构最薄弱处传播,并产生次生裂纹和裂纹桥。裂纹总的扩展方式还是I型断裂。根据试验P-V曲线特点,取最大载荷点对应的力与位移求解出铝泡沫的裂纹尖端临界张开位移的平均值为0.051 mm。     

地球扰动引力对弹道导弹命中精度影响的等效补偿理论

为消除地球扰动引力的影响、提高弹道导弹的命中精度,根据地球扰动引力对弹道导弹运动影响的特性与控制系统理论,建立不直接补偿地球扰动引力对导弹运动参数的影响却能满足命中精度要求的等效补偿理论。根据不同补偿方式与补偿量的特点,提出嵌入式、分步式、分段式等补偿模式,为补偿地球扰动引力对导弹运动的影响提供了一个通用框架和理论基础。     

新型光电装备免费及按比例组合保修策略

通过对新型光电装备故障规律和实际保修的需求分析,在原有规定保证期内免费保修策略基础上进行优化,提出免费及按比例保修组合策略概念,建立该策略对应的费用模型及可用度模型,得到费效比函数。同时通过对某新型光电装备保证期内维修保障工作应用组合保修策略开展实例建模,得到最优策略并分析证明提出该组合策略的实用性和可行性。     

Convolutions and generalization of logconcavity: Implications and applications

Additive convolution of unimodal and α‐unimodal random variables are known as an old classic problem which has attracted the attention of many authors in theory and applied fields. Another type of convolution, called multiplicative convolution, is rather younger. In this article, we first focus on this newer concept and obtain several useful results in which the most important ones is that if is logconcave then so are and for some suitable increasing functions ?. This result contains and as two more important special cases. Furthermore, one table including more applied distributions comparing logconcavity of f(x) and and two comprehensive implications charts are provided. Then, these fundamental results are applied to aging properties, existence of moments and several kinds of ordered random variables. Multiplicative strong unimodality in the discrete case is also introduced and its properties are investigated. In the second part of the article, some refinements are made for additive convolutions. A remaining open problem is completed and a conjecture concerning convolution of discrete α‐unimodal distributions is settled. Then, we shall show that an existing result regarding convolution of symmetric discrete unimodal distributions is not correct and an easy alternative proof is presented. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 109–123, 2016     

Potential impact of recharging plug‐in hybrid electric vehicles on locational marginal prices

Plug‐in hybrid electric vehicles (PHEVs), upon market penetration, will create additional recharging loads to the electric power systems. This article considers different recharging scenarios and uses game theoretic models to study the potential impact of the recharging loads on locational marginal prices (wholesale electricity prices). Computational results from a Pennsylvania‐New Jersey‐Maryland Interconnection case study show that, under the existing recharging infrastructures, even a small magnitude of load increase caused by PHEV recharging could have a significant undesirable impact on locational marginal prices. The impact could be mitigated to a varying extent by the availability of possible future recharging infrastructures, including realtime pricing recharging meters, battery stations, or vehicle‐to‐grid technology.© 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

Decomposing inventory routing problems with approximate value functions

We present a time decomposition for inventory routing problems. The methodology is based on valuing inventory with a concave piecewise linear function and then combining solutions to single‐period subproblems using dynamic programming techniques. Computational experiments show that the resulting value function accurately captures the inventory's value, and solving the multiperiod problem as a sequence of single‐period subproblems drastically decreases computational time without sacrificing solution quality. © 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010