舰载强激光武器系统精度指标分析

着重研究了舰载强激光武器的两个方面:一是在现代海战条件下的作战应用,以强激光武器的性能优势,拦截现有防空武器难以拦截的突防精确制导武器;二是研究了强激光武器光束控制系统的精度指标分析方法,并将该方法应用于舰载强激光武器光束控制系统的参数设计.     

气动力/推力矢量复合控制空空导弹最佳转弯规律

针对气动力/推力矢量复合控制空空导弹大离轴角发射的快速转弯问题,根据bang-bang控制理论,给出了导弹终端弹道角受限情况下,以最大末速为性能指标的最佳转弯规律.针对空空导弹纯气动力控制和复合控制两种情况,分别进行了初制导弹道的设计和仿真.结果显示,在中空低速发射时,采用后者转弯性能明显高于纯气动力控制导弹,而当初速高于1.2 Ma时,二者转弯性能非常接近.     

四元数在火控中的应用

介绍了四元数的定义、代数运算、三角形式和指数形式以及球面表示形式;综述了四元数在刚体姿态控制,计算机三维图像旋转,彩色图像处理和信号处理分析等实际应用中表示的物理含义,着重探讨了四元数理论在火控领域中应用方法,并对比传统欧拉角火控模型,分析了应用四元数火控模型的优点。最后从理论上得出,四元数理论方法在常规兵器火控系统有广阔的应用前景。     

一种基于二分法的无线传感器网络拓扑控制算法

文中针对传感器节点分布不均和拓扑建立时间长的问题,提出了一种基于二分法的拓扑控制算法,每个节点自适应选择发射功率以获得预设的度。仿真显示,与基于均匀功率增量的算法相比,基于二分法的拓扑控制算法大大减少了功率切换次数且形成的拓扑简单,减少了网络拓扑形成时间和平均发射功率。     

Factors that affect the optimal amount of central control in complex systems

Whereas much of the previous research in complex systems has focused on emergent properties resulting from self‐organization of the individual agents that make up the system, this article studies one vital role of central organization. In particular, four factors are conjectured to be key in determining the optimal amount of central control. To validate this hypothesis, these factors are represented as controllable parameters in a mathematical model. For different combinations of parameter values, the optimal amount of central control is found, either analytically or by computer simulation. The model is shown to provide results that match well with the level of control found across a broad spectrum of specific complex systems. This model also provides general guidelines as to how combinations of these factors affect the desirable level of control and specific guidelines for selecting and evaluating leaders. These results indicate that all of these factors, though not exhaustive, should be considered carefully when attempting to determine the amount of control that is best for a system. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008     

Scheduling multiple products on parallel machines with setup costs

We consider a class of production scheduling models with m identical machines in parallel and k different product types. It takes a time p_i to produce one unit of product type i on any one of the machines. There is a demand stream for product type i consisting of n_i units with each unit having a given due date. Before a machine starts with the production of a batch of products of type i a setup cost c is incurred. We consider several different objective functions. Each one of the objective functions has three components, namely a total setup cost, a total earliness cost, and a total tardiness cost. In our class of problems we find a relatively large number of problems that can be solved either in polynomial time or in pseudo‐polynomial time. The polynomiality or pseudo‐polynomiality is achieved under certain special conditions that may be of practical interest; for example, a regularity pattern in the string of due dates combined with earliness and tardiness costs that are similar for different types of products. The class of models we consider includes as special cases discrete counterparts of a number of inventory models that have been considered in the literature before, e.g., Wagner and Whitin (Manage Sci 5 (1958), 89–96) and Zangwill (Oper Res 14 (1966), 486–507; Manage Sci 15 (1969), 506–527). © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008     

基于CCD技术的火控自动复瞄精度测试方法

分析了火控系统自动复瞄精度现有测试方法,提出了一种采用高分辨率的CCD光电系统测试自动复瞄精度的新方法,该方法具有很高的实用价值。     

基于RBF网络的滑模变结构控制在无刷直流电机伺服系统中的应用

无刷直流电动机的参数强耦合、高度非线性特性增加了对其速度控制的难度,针对这一特点,设计了一种神经网络滑模变结构速度控制器。将无刷直流电机速度伺服系统分成名义模型和不确定模型,采用状态反馈方法对名义模型进行控制,以RBF神经网络为滑模动态补偿器对不确定系统进行控制。该方法不仪具有变结构控制的抗参数摄动、抗干扰以及速度快等优点,神经网络控制的加入还有效地减弱了单纯滑模变结构控制所带来的“抖振”现象。Matlab仿真结果表明,该控制器具有良好的控制性能和鲁棒性能。     

自适应神经模糊推理系统(ANFIS)及其仿真

自适应神经网络模糊推理系统ANF IS是模糊控制与神经网络控制结合的产物。讨论了ANF IS的结构及其特点,并利用M ATLAB的专用工具箱进行了仿真研究,取得满意的效果。     

履带式车辆半主动悬架的模糊神经网络控制

在1/2车体振动模型的基础上,引入了模糊神经网络控制器,模糊控制用来对付系统的非线性,神经网络用来辨识路面的变化情况,实时调节模糊控制器的量化因子,使模糊控制器对路面的变化具有自适应能力。仿真和台架实验结果表明,模糊控制器能有效地控制半主动悬架系统,半主动悬架在减少振动,提高乘坐舒适性方面优于传统的被动悬架。