The selection allocation problem

The Selection Allocation Problem (SAP) is a single period decision problem which involves selecting profit‐maximizing (or cost‐minimizing) activities from various distinct groups, and determining the volume of those activities. The activities in each group are selected subject to the availability of that group's resource, which is provided by either pooling or blending raw inputs from several potential sources. Imbedded in the decision process is the additional task of determining how much raw input is to be allocated to each group to form the resource for that group. Instances of this problem can be found in many different areas, such as in tool selection for flexible manufacturing systems, facility location, and funding for social services. Our goal in this paper is to identify and exploit special structures in the (SAP) and use those structures to develop an efficient solution procedure. © 1999 John Wiley & Sons, Inc. Naval Research Logistics 46: 707–725, 1999     

Economic design of a two-stage control chart based on both performance and surrogate variables

The traditional approach to economic design of control charts is based on the assumption that a process is monitored using only a performance variable. If, however, the performance variable is costly to measure and a less expensive surrogate variable is available, the process may be more efficiently controlled by using both performance and surrogate variables. In this article we propose a model for economic design of a two-stage control chart which uses a highly correlated surrogate variable together with a performance variable. The process is assumed to be monitored by the surrogate variable until it signals out-of-control behavior, then by the performance variable until it signals out-of-control behavior or maintains in-control signals for a prespecified amount of time, and the two variables are used in alternating fashion. An algorithm based on the direct search method of Hooke and Jeeves [6] is used to find the optimum values of design parameters. The proposed model is applied to the end-closure welding process for nuclear fuel to compute the amount of reduction in cost compared with the current control procedure. © 1999 John Wiley & Sons, Inc. Naval Research Logistics 46: 958–977, 1999     

小子样方法在电子对抗仿真试验中的应用

小子样问题是武器装备试验必须解决的客观问题,实现小子样试验是武器装备试验追求的最高境界.仿真试验作为武器装备试验的一种手段,以其可重复、大容量等不可比拟的优势,受到有关专家的高度重视.首先从武器装备试验实际需求出发,阐述了小子样问题在仿真试验中的意义及其实现途径,最后给出了正交设计法在某型雷达侦察机仿真试验中的应用实例.通过与常规试验方法相比,其提高试验效率6倍多,试验结果分析也更科学合理,军事经济效益明显.     

基于仿真推演的导弹作战实验框架分析与设计

针对导弹武器论证设计高成本、高复杂度的问题,本文梳理了导弹作战实验设计服务的多种功能需求,阐述了导弹作战实验设计的数理方法;为构建具有较好柔性的导弹作战实验仿真框架,针对导弹系统多个性能指标,辨析了各类导弹作战实验仿真变量;针对作战实验中的环境和装备特性,梳理了导弹作战实验模型体系,提出了仿真新模型开发框架;结合导弹作战实验案例,构建了实验设计优化方法,提出了作战实验检验设计方案;从运行实验出发,阐述了设定作战想定、建立控制机制、开展结果分析等仿真环节的具体设计。通过这些工作,形成了一种支撑导弹作战实验的柔性仿真框架,为进一步开展基于仿真推演的导弹作战实验提供参考。     

飞行器有源对消隐身技术

隐身技术已经成为现代高性能飞行器设计的重要支撑,是先进战机的基本要求。现行的隐身设计方法主要包括气动外形优化以及隐身材料涂覆。随着雷达探测能力的不断提升,尤其在米波雷达探测背景下,外形优化与隐身涂层变得不再有效,有源隐身技术被重新予以重视并有望成为新的隐身技术突破点。本文着重分析了有源对消技术的基本概念、技术现状以及相应的关键技术,对该技术体制的优势和特点进行了归纳和总结。     

数据基故障诊断算法更新问题研究

机内测试被广泛应用于故障诊断、装备健康管理与预测等领域。针对机内测试设备在设计和升级时遇到的分类器更新、样本数量不平衡、硬件条件限制问题,提出初步解决方案。利用基于密度的聚类和人工免疫方法处理原始数据;提出基于代表样本点的混合学习方法;利用支持向量机和仿真案例验证所提方法。结果表明所提方法能够解决上述问题,有助于基于数据的机内测试设备设计与升级。     

Global planning of accelerated degradation tests based on exponential dispersion degradation models

The accelerated degradation test (ADT) is an efficient tool for assessing the lifetime information of highly reliable products. However, conducting an ADT is very expensive. Therefore, how to conduct a cost-constrained ADT plan is a great challenging issue for reliability analysts. By taking the experimental cost into consideration, this paper proposes a semi-analytical procedure to determine the total sample size, testing stress levels, the measurement frequencies, and the number of measurements (within a degradation path) globally under a class of exponential dispersion degradation models. The proposed method is also extended to determine the global planning of a three-level compromise plan. The advantage of the proposed method not only provides better design insights for conducting an ADT plan, but also provides an efficient algorithm to obtain a cost-constrained ADT plan, compared with conventional optimal plans by grid search algorithms.     

高超声速飞行器保预设性能的反演控制方法

为了解决高超声速飞行器纵向运动模型的稳定轨迹控制问题,设计了一种在非仿射模型基础上保证预设性能的反演控制方法。对于速度子系统,直接设计非仿射控制律,保证预设性能,通过合理的变换将高度子系统转化为严格的反馈形式,便于反演控制步骤的设计。基于动态性能和稳态精度,设计了预设性能函数,将跟踪误差的稳定性限制在预设范围内,引入指令滤波器,有效克服了传统反演控制中虚拟信号重复推导的问题。控制器的设计不依赖于精确的模型。引入径向基函数来逼近过程中的未知函数,使得控制律具有令人满意的鲁棒性和实用性。基于李雅普诺夫稳定性理论,证明了所有闭环系统的稳定性。仿真结果表明,该控制器能够稳定地跟踪参考信号。     

近地一次环月两次交会的载人登月任务规划

针对近地一次环月两次交会的载人登月任务飞行阶段多、周期长、约束复杂,导致各阶段飞行窗口与轨道衔接匹配复杂的难题,提出分层分解、正逆向结合的全任务标称飞行窗口与轨道衔接设计策略。介绍近地一次环月两次交会的载人登月任务飞行模式特点和应用前景,假定任务基本需求与工程约束,仿真验证所提方法的有效性,可以快速规划出近地一次环月两次交会的载人登月任务飞行轨道与窗口。     

永磁直线同步电机伺服系统自抗扰反步控制器

为了提高永磁直线同步电机伺服系统的鲁棒性,提出基于自抗扰思想的反步控制器。将永磁直线同步电机伺服系统中的未建模动态和外界扰动定义为总和扰动,并扩充为系统新的状态变量。设计了线性扩张状态观测器估计不可直接测量的直线电机动子速度以及总和扰动,证明并分析了设计的线性扩张状态观测器的收敛性和估计误差。利用线性扩张状态观测器的输出,基于动态补偿线性化思想设计了反步控制器。证明了考虑线性扩张状态观测器估计误差的闭环反馈控制系统的稳定性。在Googol公司的实验平台上,验证了设计的自抗扰反步控制器的可行性。