地心甚高轨道星座构形协同捕获控制策略

针对地心甚高轨道星座构形协同捕获控制问题,基于虚拟编队方法设计了协同捕获控制策略,采用三脉冲燃耗最优轨迹规划算法对构形捕获轨迹进行协同规划;并且结合自适应全程积分滑模控制器对卫星各自转移轨迹进行跟踪控制。以10万km轨道高度的三星星座构形捕获为例进行仿真验证,仿真结果表明:该策略可以有效应用于地心甚高轨道星座构形捕获控制,能够在燃耗较少的情况下使星座中卫星同时到达各自的标称位置,同时具有较高的精度。     

空间引力波探测无拖曳技术现状与趋势

航天器无拖曳控制是实现引力波空间探测科学平台超静超稳运行的核心关键技术之一。目前,国内外各研究机构对航天器系统的动力学与控制进行了深入研究,并针对不同的探测频段需求提出了不同的探测任务。根据探测任务进行了航天器编队设计与控制的详细介绍和分析,对涉及的无拖曳与姿态控制、高精度惯性传感器与执行机构等原理和理论方法进行了深入的剖析。针对现已开展的空间引力波探测无拖曳航天器在轨飞行的演示验证整体情况进行详述和分析。在此基础上,提出后续开展相关研究中亟待解决的关键问题,指出未来无拖曳航天器系统动力学与控制的研究热点和趋势。     

海战场舰艇反潜作战的优化配置研究

针对海战场舰艇反潜作战行动的特点,为增大反潜作战能力进行优化配置。在建立数学模型的基础上,以舰艇搜索突击群有效搜索带宽度为主要因素以及其他诸如概率参数的相关要素对反潜搜索能力进行优化配置,从而获得最大反潜搜索能力和最佳作战行动效果。该方法可以较好地为海战场作战行动的模拟仿真和实际应用提供理论依据和决策参考。     

Equilibrium customer strategies and social–profit maximization in the single‐server constant retrial queue

We consider the single‐server constant retrial queue with a Poisson arrival process and exponential service and retrial times. This system has not waiting space, so the customers that find the server busy are forced to abandon the system, but they can leave their contact details. Hence, after a service completion, the server seeks for a customer among those that have unsuccessfully applied for service but left their contact details, at a constant retrial rate. We assume that the arriving customers that find the server busy decide whether to leave their contact details or to balk based on a natural reward‐cost structure, which incorporates their desire for service as well as their unwillingness to wait. We examine the customers' behavior, and we identify the Nash equilibrium joining strategies. We also study the corresponding social and profit maximization problems. We consider separately the observable case where the customers get informed about the number of customers waiting for service and the unobservable case where they do not receive this information. Several extensions of the model are also discussed. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

Annealing adaptive search,cross‐entropy,and stochastic approximation in global optimization

The Annealing Adaptive Search (AAS) algorithm for global optimization searches the solution space by sampling from a sequence of Boltzmann distributions. For a class of optimization problems, it has been shown that the complexity of AAS increases at most linearly in the problem dimension. However, despite its desirable property, sampling from a Boltzmann distribution at each iteration of the algorithm remains a practical challenge. Prior work to address this issue has focused on embedding Markov chain‐based sampling techniques within the AAS framework. In this article, based on ideas from the recent Cross‐Entropy method and Model Reference Adaptive Search, we propose an algorithm, called Model‐based Annealing Random Search (MARS), that complements prior work by sampling solutions from a sequence of surrogate distributions that iteratively approximate the target Boltzmann distributions. We establish a novel connection between MARS and the well‐known Stochastic Approximation method. By exploiting this connection, we prove the global convergence of MARS and characterize its asymptotic convergence rate behavior. Our empirical results indicate promising performance of the algorithm in comparison with some of the existing methods. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

邻域加强的并行子空间优化过程

针对基于响应面的并行子空间优化(CSSo-RS)过程的不足,提出了基于邻域加强的改进CSSO-RS优化过程.其主要思路是在子空间优化后,在得到的最优解附近进行全部变量的优化,以更好地协调系统级优化与子空间优化.用经典测试函数及通用航空飞机参数优化问题对该算法进行测试,测试结果表明该算法使CSSO-RS优化效率得到较大的...     

基于种群分类的变尺度免疫克隆选择算法

提出了一种基于种群分类的变尺度免疫克隆选择算法.该算法通过对目标函数进行非线性尺度变换,突出了全局最优解的优势地位;建立记忆子群实现了种群代际进化信息的交换;依据亲和度将抗体分为精英子群、普通子群、劣等子群,并对其分别执行自适应高斯变异、均匀变异和消亡更新等策略,增强了算法的局部和全局搜索能力.引入小生境技术提高了抗体...     

虚拟PDM环境下基于特征增长的协同设计

协同设计目前已经成为解决复杂产品设计问题的关键技术之一.在分析了现有协同设计问题的基础上,提出通过构建虚拟PDM(VPDM,Virtual PDM),应用交换特征增长数据的方法,来解决企业间异构PDM、CAD应用系统的协同设计问题.给出了虚拟PDM的定义,并介绍了基于虚拟PDM进行协同设计的基本原理.建立了基于虚拟PD...     

基于参数化建模的车轮形药柱形状优化

固体火箭发动机装药设计过程中,较高的装填分数往往导致药柱的应力应变较大,结构完整性不易满足要求,为了解决这一问题,将参数化建模方法与遗传算法相结合,对车轮形药柱进行形状优化.采用MSC.Patran软件的二次开发工具PCL (Patran Command Language)建立车轮形药柱的参数化有限元分析模型,能够根据...     

基于Gauss伪谱法的航天器气动力辅助平面变轨问题研究

气动力辅助变轨技术可以有效地节约燃料,是未来航天器新型变轨技术的发展方向之一.该文采用Gauss伪谱法对航天器从高轨道向低轨道共面轨道转移问题进行了研究.在考虑热流限制、控制约束的条件下,得到了航天器大气飞行段的次优轨迹,并对轨迹特性进行了分析,证明优化结果满足一阶最优性必要条件.同时采用间接法处理该问题,对两种方法的...