分治策略在卫星数据交换控制中的应用

基于并行技术对卫星数据流控制进行了研究,利用分治策略设计一种并行架构的卫星数据流控制方式.这种并行进行的通信方式与以往卫星采用的顺序轮询下位机的通信方式相比,可大大缩短与所有下位机完成通信所花费的时间,为中心计算机节约出大量的系统时间,让中心计算机可以利用更多的时间进行卫星姿态控制与轨道计算.     

过载约束下的探月飞船再入轨迹的在线设计

研究了以第二宇宙速度返回地球的载人探月飞船的再入制导律设计问题.针对基于落点分析的数值预测-校正算法不能有效满足再入过程的气动过载约束条件的问题,提出一种基于解析计算的常值气动过载算法与基于数值积分的预测-校正技术相结合的融合再入制导方案,在线生成了同时满足过载约束和落点精度要求的再入轨迹.数值仿真表明提出的制导算法不仅能满足达到高精度着陆的要求,还能满足气动过载约束要求.在一定的再入初始条件下,探月返回飞船可以不必采用逻辑复杂的阿波罗式跳跃再入方案.这一方案可为即将展开的载人探月活动制定月-地返回轨道和再入策略提供参考.     

一种冗余系统诊断策略优化设计算法

在冗余系统中,一个测试往往可以检测多个故障的故障单元组合,即故障与测试之间呈现多对一的关系。针对冗余系统故障和测试之间的特殊关系,在前期工作的基础上,提出了一种适用于冗余系统诊断策略优化设计的算法,形成了一个完整的多故障诊断策略的生成方法框架。将此方法应用于某飞机供电系统,可以有效地完成冗余系统故障诊断。     

Influence of estimation errors on wayfinding-decisions in unknown street networks – analyzing the least-angle strategy

The least-angle strategy is a common wayfinding method that can be applied in unknown environments if the target direction is known. The strategy is based on the navigator's heuristic to select the street segment at an intersection which is most in line with the target direction. To use this strategy, the navigator needs to know the angles between the target direction and the street segments leading out from the intersection. If the direct view to the target is blocked and the target vector cannot be perceived, the target direction that is needed for the decision process is based on the agent's believed position and orientation (estimated through path integration). The agent's believed position and target direction are distorted by human errors in estimation of distances and directions, mainly affecting the path integration process. In this paper we examine how human estimation errors of distance and rotation influence the decision behavior in the wayfinding process in an unknown street environment. To demonstrate the geometrical consequences for a specific test case, we use a simulated software agent which navigates in a simulated street environment.     

浅析促进高等职业教育发展的对策

当今世界范围的竞争日趋激烈，经济的竞争，科学技术的竞争，归根到底是教育的竞争和人才的竞争。因此，提高劳动者的全面素质，对于一个国家的社会经济发展可以说具有决定性的意义。高等职业教育承担着培养一线劳动者的任务，办好高等职业教育，对于全面提高劳动者素质，发展生产力，提高产品质量，促进经济发展具有巨大的作用。本文详细分析并论述了推动高等职业教育发展的措施。     

退火算法在电子元件位置优化上的应用

一块电路板上有电子元件，它们不仅有热源，而且相互和，另外与空气还交换热，对这类问题建立线性数学模型，从而算出温度稳态分布，因为许多集成电路系统可靠性很大程度上取愉于温度，所以温度的模拟显向很重要性，把温度模型与退火算法相结合可以获得元件最接近优化的布局，并用一个例子加以说明，通过优化能降低板子最高温度，从而提高系统的可靠性。     

跨国公司在华投资战略分析

从跨国公司在华投资的现状、历程出发，具体分析跨国公司对华投资战略的特点，并提出减少其负面影响的应对措施。     

论现代企业应用性人才需求特征与培养对策

本文从企业的角度论述和分析了现代企业对高级应用性人才的需求特征，并提出了培养高级技术应用性人才的若干对策。     

不确定环境下多无人机任务分配

针对复杂战场环境下无人机与攻击目标之间距离的不确定性,将该距离抽象为一个区间数。在此基础上,构建了不确定环境下多无人机任务分配的数学模型。根据多无人机任务分配问题的特殊性,重新设计了差分进化算法的编码方式、变异操作、交叉操作等。其中,选择操作中,在区间数排序方法的基础上,依照可能度来计算候选解被选中的概率。鉴于差分进化算法中不同变异策略的内在特点和适用场合不尽相同,提出了 3种多变异策略的差分进化算法,以便最大限度地发挥各种变异策略的技术优势。针对 CEC2013测试函数和多无人机任务分配问题分别开展仿真实验,实验结果表明,多变异策略的差分进化算法其性能改进显著,非常适合于求解多无人机任务分 配问题。     

Trajectory optimization of multiple quad-rotor UAVs in collaborative assembling task

A hierarchic optimization strategy based on the offline path planning process and online trajectory planning process is presented to solve the trajectory optimization problem of multiple quad-rotor unmanned aerial vehicles in the collaborative assembling task. Firstly, the path planning process is solved by a novel parallel intelligent optimization algorithm, the central force optimization-genetic algorithm (CFO-GA), which combines the central force optimization (CFO) algorithm with the genetic algorithm (GA). Because of the immaturity of the CFO, the convergence analysis of the CFO is completed by the stability theory of the linear time-variant discrete-time sys-tems. The results show that the parallel CFO-GA algorithm converges faster than the parallel CFO and the central force optimization-sequential quadratic programming (CFO-SQP) algorithm. Then, the trajectory planning problem is established based on the path planning results. In order to limit the range of the attitude angle and guarantee the flight stability, the optimized object is changed from the ordinary six-degree-of-freedom rigid-body dynamic model to the dynamic model with an inner-loop attitude controller. The results show that the trajectory planning process can be solved by the mature SQP algorithm easily. Finally, the discussion and analysis of the real-time per-formance of the hierarchic optimization strategy are presented around the group number of the waypoints and the equal interval time.