基于多目标模糊优化方法的无人机航迹规划

针对以雷达威胁和燃油消耗为多目标的无人机航迹规划问题,采用多目标模糊优化方法建立航迹性能指标,并利用启发式A*搜索算法,提出基于动态权值的启发函数方法。最后结合实际算例,在基于Voronoi图的状态空间内搜索航迹,验证了采用多目标模糊优化和启发式搜索方法进行航迹规划具有合理性和有效性。     

国产民用运输类飞机障碍物限重计算模型优化研究

航空公司使用多年的某国产民用飞机性能软件,在障碍物限重计算准确性方面虽能获得较满意的结果,但计算时间较长。分析该软件所用计算模型计算效率较低的原因,通过对比采用最小改平高和采用最大改平高两种模型的计算结果和计算效率,建立优化模型,计算不同障碍物、不同风速条件下,优化模型与原模型的障碍物限重、改平高度和计算时间,并进行比较分析。结果表明：两种模型的障碍物限重和改平高度计算结果基本相同;无障碍物时,不论有风无风,采用最小改平高的优化模型相对采用最大改平高的原模型均可减少计算时间25%;有障碍物时,无风情况下,采用最小改平高的优化模型可减少计算时间78% 以上,有风时,则可减少计算时间75% 以上。采用最小改平高的模型可以兼顾准确性和高效性。     

Influence of stealth aircraft dynamic RCS peak on radar detection probability

For modern stealth aircraft, it is important to analyze the influence of Radar Cross Section (RCS) peak exposure on penetration for guiding stealth design and penetration trajectory planning, which needs to reflect the RCS statistical uncertainty and the RCS difference with the change of incident angle. Based on the RCS characteristics of typical stealth aircraft, this paper established a simplified RCS dynamic fluctuation statistical model with the parameters log mean and log standard deviation. According to the detection probability algorithm in radar signal processing field, this paper built the algorithm of radar detection probability based on the RCS dynamic fluctuation statistical model. The analysis of examples concluded that the key to successful penetration is to shorten the RCS peak exposure time, which can be reduced by decreasing the RCS peak width or increasing velocity. Based on the conclusion, this paper proposed the method of turning maneuvering to reduce RCS peak exposure time dramatically.     

高温合金车削力的试验研究

根据高温合金的切削性能,确定刀具结构、刀具角度、刀具材料和切削用量。通过多次实验建立高温合金切削力经验公式,并与切45~#钢的经验公式对比,证明商温合金的切削力比切45~#钢大43％左右。     

基于工程师经验的结构优化设计研究

借鉴结构工程师的设计经验与直觉判断 ,在一定条件下 ,通过一次有限元分析给出结构的传力路线 ,并由此确定拓扑结构 ,利用MATLAB优化工具箱进行形状与尺寸的优化 ,以达到结构优化设计之目的。算例结果表明 :本文方法思路简单、力学概念明确、算法简洁有效 ,易于被结构工程设计人员所接受。     

极小代数与最短路问题

引入了极小代数的概念,建立了其运算法则。对有向赋权图的最短路问题建立了极小代数下的迭代方法。     

复合材料自动铺带技术研究(Ⅰ)——"自然路径"特性分析及算法

分析了可展面上“自然路径”的几何本质，推演证明其在可展曲面上与测地线的等价性。应用和拓展可展面“自然路径”数值算法，在一般曲面上引入边界控制点调整预浸带中心点以减小预浸带变形、实现铺放，构造了一般曲面“自然路径”求解格式。     

舰载飞机着舰下滑跃升操纵策略仿真与分析

为了对舰载飞机着舰下滑时的跃升操纵策略进行研究,建立了飞机飞行动力学模型和驾驶员模型.在此基础上,根据“50 ft跃升规范”要求,以F/A-18舰载飞机为例,运用MATLAB/SIMULINK软件,对采取不同操纵策略下的飞机跃升飞行历程进行了仿真分析.结果表明,F/A-18舰载飞机在着舰下滑状态下无法达到“50 ft跃升规范”.此外,飞机在不开启动力补偿的情况下,飞行员需同时操纵油门杆和驾驶杆来实现轨迹跃升.     

Rectangle expansion A*pathfinding for grid maps

Search speed, quality of resulting paths and the cost of pre-processing are the principle evaluation metrics of a pathfinding algorithm. In this paper, a new algorithm for grid-based maps, rectangle expansion A* (REA*), is presented that improves the performance of A* significantly. REA*explores maps in units of unblocked rectangles. All unnecessary points inside the rectangles are pruned and boundaries of the rectangles (instead of individual points within those boundaries) are used as search nodes. This makes the algorithm plot fewer points and have a much shorter open list than A*. REA*returns jump and grid-optimal path points, but since the line of sight between jump points is protected by the unblocked rectangles, the resulting path of REA*is usually better than grid-optimal. The algorithm is entirely online and requires no offline pre-processing. Experi-mental results for typical benchmark problem sets show that REA*can speed up a highly optimized A* by an order of magnitude and more while preserving completeness and optimality. This new algorithm is competitive with other highly successful variants of A*.     

面向卫星多目标重复观测任务的分层聚类规划

针对敏捷卫星多目标重复观测任务规划面临的可行任务执行序列集合规模庞大困难,提出了一种任务执行序列时间解耦的分层聚类任务规划方法。该方法以规划过程中的可观测窗口和任务执行窗口为聚类对象,通过单次可观测窗口聚类和多次任务执行窗口聚类将任务集合按任务窗口属性分解为一系列时间解耦的小规模集合,在两次任务执行窗口聚类间使用基于贪婪优化的搜索算法对聚类生成的小规模任务集合分别进行集合内任务规划,最后将各集合的任务规划结果合并后得到所有任务的执行序列。仿真结果表明,该分层聚类方法可有效降低全局优化复杂度,消解不同优先级观测任务的冲突,提高任务规划质量,能够在不降低目标点观测完成率的前提下对有多个观测机会的目标点进行重复观测,且算法稳定性好,能在数秒内得出规划结果,适用于星上自主任务规划。