一种基于OPTICS聚类的仅测角导航目标检测算法

仅测角自主导航方法具有设备简单、复杂度低，功耗低的优点，在空间任务中具有广泛的应用前景.针对中远距离下空间目标特征少的特点，提出了一种利用基于OPTICS聚类算法的空间目标检测方法，可用于仅测角导航过程中的目标检测.对原始星图进行预处理提取星点及目标点，并结合星图识别的结果选择部分帧，使用经过改进的OPTICS聚类方法获得目标运动轨迹.最后，使用本文中的算法对软件仿真出的含有目标的高精度星图进行处理验证了算法的可行性.在卫星相对于空间目标抵近过程中，目标检测的水平误差及垂直误差小于0.15°的帧数分别占到了85.4%以及99.6%.相比AVANTI实验中的目标检测方法，减少了在轨任务中相关参数的调节，进一步提升了算法的自主性.     

Topology optimization in lightweight design of a 3D-printed flapping-wing micro aerial vehicle

Topology optimization is an effective method to obtain a lightweight structure that meets the requirements of structural strength. Whether the optimization results meet the actual needs mainly depends on the accuracy of the material properties and the boundary conditions, especially for a tiny Flapping-wing Micro Aerial Vehicle (FMAV) transmission system manufactured by 3D printing. In this paper, experimental and numerical computation efforts were undertaken to gain a reliable topology optimization method for the bottom of the transmission system. First, the constitutive behavior of the ultraviolet (UV) curable resin used in fabrication was evaluated. Second, a numerical computation model describing further verified via experiments. Topology optimization modeling considering nonlinear factors, e.g. contact, friction and collision, was presented, and the optimization results were verified by both dynamic simulation and experiments. Finally, detailed discussions on different load cases and constraints were presented to clarify their effect on the optimization. Our methods and results presented in this paper may shed light on the lightweight design of a FMAV.     

涡轮基组合循环发动机分布式控制系统通信网络混合拓扑结构优化方法

涡轮机组合循环(Turbine based combined cycle,TBCC)发动机控制系统通信网络拓扑结构是其分布式控制系统方案设计的重要部分,优化网络拓扑结构可提高发动机推重比和控制系统可靠性。本文基于智能优化算法提出TBCC分布式控制系统网络拓扑结构优化方法。基于图论建立TBCC几何模型和网格模型,以重量和可靠性为优化性能指标,同时考虑发动机表面高温区域以及控制节点的工作可靠性,分别采用粒子群算法和遗传算法优化星形结构中智能中央节点位置、中央节点的环形拓扑结构,获得星形-环形混合拓扑结构。仿真实例表明,基于本文方法优化所得的混合拓扑结构相较于星形集中式控制结构,系统重量降低了51.9%。     

An innovative approach for integrated airline network and aircraft family optimization

The determination of optimal aerial transport networks and their associated flight frequencies is crucial for the strategic planning of airlines, as well as for carrying out market research, to establish target markets, and for aircraft and crew rostering. In addition, optimum airplane types for the selected networks are crucial to improve revenue and to provide reduced operating costs. The present study proposes an innovative approach to determine the optimal aerial transport network simultaneously with the determination of the optimum fleet for that network, composed of three types of airplanes (network and vehicle integrated design). The network profit is maximized. The passenger’s demands between the airports are determined via a gravitational model. An embedded linear programming solution is responsible for obtaining potential optimal network configurations. The optimum fleet combination is determined from a database of candidate aircraft designs via genetic algorithm. A truly realistic airplane representation is made possible thanks to accurate surrogate models for engine and aerodynamics is adopted. An accurate engine deck encompassing a compression map and an innovative engine weight calculation besides an aerodynamical artificial neural network module enable a high degree of accuracy for the mission analysis. The proposed methodology is applied to obtain the optimum network comprised of twenty main Brazilian airports and corresponding fleet.     

关于疲劳裂纹扩展数学模型的参数寻优

本文通过引入工程设计中的优化方法，分别对室内空气环境下铝合金（ＬＹ１２－ＣＺ）材料疲劳裂纹扩展的数学模型，以及环境条件下（３．５％ＮａＣｌ水溶液浸泡）该材料腐蚀疲劳裂纹扩展的数学模型进行了探讨。在已知标准试样在不同的环境下疲劳裂纹扩展实验ｄａｄＮｉ，ΔＫｉ的条件下，采用优化方法进行参数寻优，可方便地得到与其对应的疲劳裂纹扩展的ｄａｄＮ～ΔＫ最优数学模型     

满足约束的Gn连续过渡曲面的构造

在Erich Hartmann提出的由两基曲面线性组合构造G^n连续过渡曲面方法的基础上，针对该方法存在很难找到合适的参数变换的问题，提出了一种基于基曲面局部区域重新参数化构造G^n连续过渡曲面的方法。通过对基曲面上切触线附近区域部分曲面重新参数化，再由重新参数化局部基曲面线性组合构造G^n连续过渡曲面。这样将两基曲面间构造过渡曲面的问题转化为在重新参数化局部基曲面间构造过渡曲面。以构造G^1连续的翼身融合面为例，讨论了满足约束要求条件时G^2连续过渡面的构造方法。即先对基曲面上过渡切触线附近的局部区域进行重新参数化，后通过优化求解来确定比例因子和偏移量、平衡因子和调配因子，使过渡曲面满足前后边条线约束，最后利用线性组合来构造G^2连续的过渡面。约束过渡曲面的形状可通过改变重新参数化基曲面的大小来调整．     

基于粒子群优化算法的不完全数据的处理

不完全信息下的数据挖掘是一个困难的问题，但它在实际决策中是不可避免的。在介绍几种处理方法的基础上，提出了基于粒子群优化算法的处理方法。对适应函数进行了讨论，实例表明该方法比较有效。     

域外刑事评议程序之比较研究

刑事评议程序是介于庭审程序和宣告程序之间的一个重要程序,它既是庭审的自然延续,又是裁判结论形成的前提和基础。然而,欲保证刑事评议程序的正常运行,刑事评议主体之独立必须得到保证;刑事评议之客体还应被全面考虑,并对其进行细化,以确保刑事评议的针对性和有效性,防止出现"估堆"现象。本文以域外刑事评议程序为对象,从评议的主体、客体等角度进行梳理,得出规律性的认识,以期对我国关于刑事评议的立法有所裨益。     

关于加大产业结构调整力度的思考

本文从我国产业结构调整的现状及存在的问题出发，针对一般加工产业生产能力过大，高水平的加工能力不足这一突出问题进行了原因分析，在此基础上，就我国加速优化产业结构的客观基础和可能，提出了关于加大产业结构调整力度的七点思考建议。     

OPTIMUM GRASPING PLANNING FOR MULTIFINGERED DEXTROUS HANDS BASED ON THE ASYMPTOTICAL STABILITY

ＯＰＴＩＭＵＭＧＲＡＳＰＩＮＧＰＬＡＮＮＩＮＧＦＯＲＭＵＬＴＩＦＩＮＧＥＲＥＤＤＥＸＴＲＯＵＳＨＡＮＤＳＢＡＳＥＤＯＮＴＨＥＡＳＹＭＰＴＯＴＩＣＡＬＳＴＡＢＩＬＩＴＹ￥ＹａｎｇＹａｎｇ；ＬｕＺｈｅｎ；ＺｈａｎｇＱｉｘｉａｎ（ＲｏｂｏｔｉｃｓＲｅｓｅａ...