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。     

对“民参军”企业质量管理现状的分析与思考

本文简要分析了"民参军"企业质量管理现状与存在的不足,并针对存在的问题提出了如何保持"民参军"企业质量管理体系持续有效运行的措施与思考。     

基于DSPACE的高功率密度柴油机智能化冷却系统控制策略验证

为了验证高功率密度柴油机智能化控制冷却系统控制策略是否正确,以DSPACE为基础搭建了半实物仿真试验平台;通过仿真试验平台验证,控制策略符合柴油机冷却系统工作要求,电控阀、传感器、驱动电路等部件工作可靠,节省了研制时间、经费,降低了研制风险。     

烷烃磨削液应用于Si_3N_4陶瓷磨削时的砂轮堵塞机理及改性研究

通过一系列试验,考察了采用不同烷烃乳液及极性添加剂作为磨削液时金刚石砂轮磨削S i3N4陶瓷时的堵塞效果。试验结果表明:由于烷烃油膜表面的非极性性质对非极性的S i3N4磨屑有很强的吸引力,采用烷烃乳液作为磨削液时,金刚石砂轮较易发生堵塞。通过在烷烃乳液中添加极性有机物,可以很大程度上缓解堵塞的发生,最佳的极性添加剂分子结构需要同时具备一定的憎水基团和亲水基团。     

The probability of the existence of a feasible flow in a stochastic transportation network

Stochastic transportation networks arise in various real world applications, for which the probability of the existence of a feasible flow is regarded as an important performance measure. Although the necessary and sufficient condition for the existence of a feasible flow represented by an exponential number of inequalities is a well‐known result in the literature, the computation of the probability of all such inequalities being satisfied jointly is a daunting challenge. The state‐of‐the‐art approach of Prékopa and Boros, Operat Res 39 (1991) 119–129 approximates this probability by giving its lower and upper bounds using a two‐part procedure. The first part eliminates all redundant inequalities and the second gives the lower and upper bounds of the probability by solving two well‐defined linear programs with the inputs obtained from the first part. Unfortunately, the first part may still leave many non‐redundant inequalities. In this case, it would be very time consuming to compute the inputs for the second part even for small‐sized networks. In this paper, we first present a model that can be used to eliminate all redundant inequalities and give the corresponding computational results for the same numerical examples used in Prékopa and Boros, Operat Res 39 (1991) 119–129. We also show how to improve the lower and upper bounds of the probability using the multitree and hypermultitree, respectively. Furthermore, we propose an exact solution approach based on the state space decomposition to compute the probability. We derive a feasible state from a state space and then decompose the space into several disjoint subspaces iteratively. The probability is equal to the sum of the probabilities in these subspaces. We use the 8‐node and 15‐node network examples in Prékopa and Boros, Operat Res 39 (1991) 119–129 and the Sioux‐Falls network with 24 nodes to show that the space decomposition algorithm can obtain the exact probability of these classical examples efficiently. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 479–491, 2016     

基于OSGi的装备保障信息平台体系架构设计与实现

为解决装备保障信息系统建设的难点问题,基于OSGi技术,设计了一个通用的装备保障信息系统体系架构,构建了装备保障信息平台.通过插件、构件、子系统不同层次设计和核心运行平台、业务支撑层、业务应用层的层次划分,形成了开发装备保障信息系统的完整解决方案.通过实践验证了该体系架构是解决业务需求、运行环境多变的复杂软件的一种有效途径.     

Coping with shortages caused by disruptive events in automobile supply chains

Unpredictable disruptive events significantly increase the difficulty of the management of automobile supply chains. In this paper, we propose an automobile production planning problem with component chips substitution in a finite planning horizon. The shortage of one chip can be compensated by another chip of the same type with a higher-end feature at an additional cost. Therefore, the automobile manufacturer can divert the on-hand inventory of chips to product lines that are more profitable in the event of shortages caused by supply chain disruptions. To cope with this, we propose a max-min robust optimization model that captures the uncertain supplies of chips. We show that the robust model has a mixed-integer programming equivalence that can be solved by a commercial IP solver directly. We compare the max-min robust model with the corresponding deterministic and two-stage stochastic models for the same problem through extensive numerical experiments. The computational results show that the max-min robust model outperforms the other two models in terms of the average and worst-case profits.     

非晶碳类金刚石薄膜摩擦学特性及其应用

综合地介绍了类金刚石膜研究现状,着重说明了非晶碳类金刚石薄膜的摩擦学特性,分析了沉积方法、掺杂元素、摩擦环境、基体及对偶材料对其摩擦学特性的影响。最后,简要说明了非晶碳类金刚石膜应用情况。     

自然场景车标数据集的构建及其应用

车标作为车辆身份的关键特征之一,在车辆的监控与辨识中发挥着重要作用。由于自然场景复杂多变,对其中的车标进行准确识别仍具有很大的挑战性。目前公开数据库很少且存在诸多局限,导致研究缺乏可信度和实用性。本文建立了一个面向自然场景的全新数据集,包含多种采集环境下的10 324幅、67类车辆图像。基于此数据集开展应用研究,提出一个目标检测与深度学习相结合的车标识别方法,包括车标区域定位和车标种类预测两大步骤。实验表明,该方法对复杂背景有较强的适应性,在涉及30种车标的分类任务中达到89.0%的总体识别率。     

火灾探测技术研究

火灾探测技术是传感技术和火灾探测算法的结合产物。从火灾探测的基本原理和火灾探测算法这两个方面详细分析了火灾探测技术,为消防工作中火灾探测器选择提供指导,并对火灾探测技术的现状和新兴技术进行了归纳分析,为进一步研究火灾探测技术指明了方向。