基于改进粒子群算法辨识Volterra级数的目标机动轨迹预测

目标机动轨迹预测是空战态势感知和目标威胁评估的重要前提。针对传统目标机动轨迹预测模型复杂度大、预测精度低等问题，结合目标机动轨迹时间序列的混沌特性，提出一种基于相空间重构理论和Volterra泛函级数的目标机动轨迹预测模型。该模型首先采用0-1检测法验证了目标机动轨迹时间序列具有混沌特性；其次，利用C-C法确定嵌入维数和时间延迟，对目标机动轨迹时间序列进行了相空间重构；然后，引入Volterra泛函级数预测模型，为了克服高阶Volterra核函数求解复杂的难题，提出一种混沌变异自适应粒子群算法，构建一种基于改进粒子群算法辨识的Volterra级数预测模型，并将其应用于目标机动轨迹预测；最后，将所提算法与卡尔曼滤波算法以及机器学习算法进行单步和多步预测对比，同时将改进粒子群算法与其他智能算法进行性能比较。仿真结果表明：所提预测模型具有良好的单步和多步预测性能，改进的粒子群算法具有参数辨识精度高、收敛速度快的优点。     

Modified micro-mechanics based multiscale model for progressive failure prediction of 2D twill woven composites

To consider fiber random distribution at the microscale for the multiscale model based on the micro-mechanics failure (MMF) theory, clustering method is used for the extraction of amplification factors. As the clustering method is a kind of unsupervised machine learning method, the elements with similar mechanical behavior under external loading can be included in a cluster automatically at the microscale. With this modification, the fiber random distribution model can be used for multiscale damage analysis in the framework of MMF theory. To validate the modified multiscale analysis method, progressive damage analysis of a kind of 2D twill woven composites is conducted based on different microscale models. The stress values for microscale models with fiber hexagonal and random distribution patterns are compared first. Much higher stress concentration is generated in the fiber random distribution model due to the smaller inter-fiber distance especially under longitudinal shear loading. The obtained cluster distribution results exhibit the characters of the stress distribution in the two microscale models. Thereafter, tensile and compressive responses of the 2D twill woven composite are predicted with the modified multiscale analysis method and accuracy of the method is verified through comparison with published experimental results. From the simulation results, it can be found that the matrix damage initiation from the model based on the fiber random distribution model is premature compared with that from the model based on the fiber hexagonal distribution model. Besides, under tensile loading, the damage all initiates from the fill tows and propagates to the wrap tows. However, under compressive loading, the matrix damage initiates from the wrap tows in the model based on the fiber random distribution model.     

Stable two-sided matching of slot allocation in airport collaborative decision making by top trading cycles mechanism

The problem of capacity shortage in some airports needs to be dealt with sustainable solutions including a more efficient use of the existing runway slots at the airports. The Collaborative Decision Making (CDM) is an important approach applied to Air Traffic Management (ATM) to achieve this efficient use of the slots allocation. Using the Matching approach for two-sided markets of Game theory, the Top Trading Cycle CDM (TTC-CDM) algorithm developed in this research is an extension of the CDM approach aggregating the Ground Delay Program (GDP) of the air sector. The paper compared the developed TTC-CDM model to the existing models such as the conventional Compression algorithm in CDM, the Trade Cycle algorithm and the Deferred Acceptance CDM (DA-CDM) model to evaluate the performance of the proposed model. Through a case study, the results show the effective application of TTC-CDM model to slot allocation in ATM and also presents the advantage of considering the preferences of airport managers beside ATC controllers and airlines in the decision processing.     

具有时变权矩阵的离散Hopfield神经网络的稳定性

研究了以并行工作模式进行演化的具有时变连接权矩阵的离散Hopfield神经网络,得到了判定网络稳定的2个充分条件,改进了已有结果。     

基于分岔理论的起落架撑杆式锁机构设计

提出了运用分岔理论研究锁机构性能问题的分析方法，以前起落架上下位一体式锁机构为对象，基于分岔理论，通过数值延拓，研究了收放作动筒和解锁作动筒对该机构稳定性能的影响，阐释了锁机构运动分岔图中分岔点与上锁、解锁行为的对应关系，并分别针对上、下位解锁过程按照不同解锁力共划分了5种锁机构解锁状态。论述了延拓解锁、上锁分岔点得到的轨迹曲线，并根据曲线临界尖点定义了临界解锁力和临界解锁角度2个状态变量，随后分析了弹簧刚度、原长和安装点位置对以上变量的影响趋势。基于影响分析结果，在锁机构上锁能力一定的前提下，改变参数，优化了下位临界解锁力。研究表明，分岔分析能够快速全面地把握锁机构动力学特性随不同参数的变化趋势，在分析锁机构性能、指导参数初步设计方面有一定优势。     

Fatigue life research and experimental verification of superalloy thin-walled structures subjected to thermal-acoustic loads

Rapid alternating stress is formed in structure subjected to harsh thermal-acoustic loads, which will affect fatigue performance and reduce fatigue life seriously. First, fatigue experiment of superalloy thin-walled structure was carried out to obtain fatigue damage location and failure time of the experiment specimen, and S-N curves of superalloy thin-walled structure at 723 K were fitted. Then, dynamic response simulation of superalloy thin-walled structure under the same load as experiment was implemented, and fatigue life was estimated based on the fatigue life prediction model which mainly included: improved rain-flow counting method, Morrow average stress model and Miner linear cumulative damage theory. Further, comparisons between simulation solutions and experimental results achieved a consistency, which verified the validity of the Fatigue Life Prediction Model (FLPM). Moreover, taking a rectangle plate as the analysis object, the distributions of Fain-low circulation blocks and damage levels of the structure were discussed respectively. Finally, current research indicates that in pre-buckling the structure is in softened area and fatigue life decreases with the increase of temperature; in post-buckling the structure is in hardened area and fatigue life increases with the increase of temperature within a certain range.     

Uncertain multiobjective redundancy allocation problem of repairable systems based on artificial bee colony algorithm

Based on the uncertainty theory, this paper is devoted to the redundancy allocation problem in repairable parallel-series systems with uncertain factors, where the failure rate, repair rate and other relative coefficients involved are considered as uncertain variables. The availability of the system and the corresponding designing cost are considered as two optimization objectives. A crisp multiobjective optimization formulation is presented on the basis of uncertainty theory to solve this resultant problem. For solving this problem efficiently, a new multiobjective artificial bee colony algorithm is proposed to search the Pareto efficient set, which introduces rank value and crowding distance in the greedy selection strategy, applies fast non-dominated sort procedure in the exploitation search and inserts tournament selection in the onlooker bee phase. It shows that the proposed algorithm outperforms NSGA-II greatly and can solve multiobjective redundancy allocation problem efficiently. Finally, a numerical example is provided to illustrate this approach.     

素数阶射影平面的一种新构造

射影平面是由欧氏平面加上一条非固有直线构成的,它在射影几何中的存在性是一个重要的研究课题.在组合设计中,射影平面与仿射平面有着密切的联系,并且一个q阶射影平面对应一个(q2+q +1,q+1,1)对称设计,一个q阶仿射平面对应一个(q2,q,1)可分解设计.本研究从无穷远元素和射影直线入手,给出射影平面的定义,进而利用矩阵的初等变换及矩阵对角线上元素的位置变换的理论,构造了一个可分解设计的平行类,最后通过增加q+1个无穷远点的方式得到素数阶射影平面的一种新构造,并且举例验证了构造的有效性和正确性.     

基于有向图的飞机数字化装配生产线全局建模

根据飞机装配生产线中产品的构成及装配方式等特点,涵盖装配信息引入和装配信息退出的概念,实现飞机装配关系建模的有向图表示。结合层次模型和关系模型特点,将装配过程信息引入装配模型中,并追加数字化装配系统信息,采用邻接矩阵表示法来存储分层模型中的各类信息,建立基于分层有向图的飞机装配生产线模型。