甲基肼/四氧化二氮发动机脉冲工况仿真与试验研究

基于简化化学反应模型,对甲基肼/四氧化二氮发动机脉冲工况燃烧特性进行了仿真分析,并结合高模热试车对仿真结果进行了对比验证.结果表明:燃烧室压力在3.7 ms时基本达到稳定;而温度场在8 ms左右达到稳定,室压先于温度场达到稳定;燃烧室壁面液膜热流密度先增大后降低,脉冲工况下发动机推力室壁面液膜冷却效果受脉冲宽度影响较大...     

基于图像特征分类和RBF网络的两轴车辆动态称重技术

汽车在行驶过程中的总重信号通常由各轴重信号确定,各轴重信号的测试精度取决于对车辆运动参数和振动信号等的精确分析。本文采用径向基函数(Radial basis function,RBF)网络处理轴重信号,针对该网络的泛化能力与拟合精度的矛盾,将车辆按照重量分为大、中、小3种类型,并进行整车建模和网络训练;实际测试过程中,利用汽车俯视图像提取类型特征,然后根据汽车的类型将测试参数输入不同的神经网络进行处理,以静态测量结果为相对真值。仿真结果表明,分类建模比单一混合建模具有更高的测试精度。     

代谢起源进化的分子模拟研究

新陈代谢为生命提供了物质和能量基础,与生命起源和进化密切相关.然而,由于缺乏化石证据,代谢的起源及其影响生物进化的分子机制等重要问题尚待解决.近年来,网络扩张算法等分子模拟方法的出现为解决这些问题提供了新途径.本文综述了近年来代谢起源进化的分子模拟研究,以期为相关领域学科发展提供新思路.     

基于单隐层神经网络的压电执行器非线性特征建模策略研究

研究了压电致动器的几种主要非线性特征的联合建模方案,其中包括迟滞、蠕变和温度漂移.提出了一个利用NARM AX模型的级联单隐层前馈神经网络以消除迟滞的影响,利用信息标准和误差缩减比算法确定对模型误差影响最大的几项回归因子作为网络的输入节点.实验表明,利用多网络泛化和正则化策略,网络在测试数据上的绝对误差可以下降到不高于±0.1 μm;通过将运行时间、温度传感器测量值和激励电压频率三项数据加入输入节点,可补偿蠕变和温度漂移导致的非线性因素,将最终在测试集上的绝对误差限制在±0.01 μm之内,且对于不同的激励电压频率具有良好的泛化能力.本文的研究成果对于多非线性耦合的压电执行器建模有一定的借鉴意义.     

Task allocation strategies for cooperative task planning of multi-autonomous satellite constellation

In recent years, the application of imaging satellites has entered a completely new stage, with the new demands such as rapid response to emergency events, observation of large-scale regional targets and multivariate data fusion, the multi-autonomous satellite constellation has been proposed. This paper first designs the structure of multi-autonomous satellite constellation, and a centralized-distributed structure is proposed. This structure could improve the dynamic response capacity of the whole constellation. Then, this paper adds adapted filtering mechanism to single autonomous satellite online scheduling algorithm to enhance its performance. This article also pays more attention on task allocation strategies of the master satellite in constellation, and ten different task allocation strategies based on five dimensions are analyzed by simulation experiments. At last, this paper extracts several characteristic features of the regular observation targets and designs a selector based on support vector machine (SVM). This selector could select an appropriate strategy according to the features of each experiment scenario.     

加热片粘结质量无损检测方法研究

加热片在粘结过程中,由于操作不当,在粘结层内会出现气泡、分层、夹杂等缺陷,这些缺陷会导致加热片传热不均匀,引起热量集聚,进而加热片中加热丝被烧坏,最终造成加热片失效,严重影响设备的正常运行,甚至使整个设备报废。因此,设备在投入使用前进行全面无损检测是十分有必要的。无损检测有很多种方式和方法,针对加热片粘结质量进行无损检测试验,对比分析空耦超声单侧一发一收法、空耦超声对侧一发一收法和太赫兹检测法对加热片的检测效果,结果发现,太赫兹无损检测法对加热片粘结层内部缺陷具有很好的检出率,试验研究为加热片粘结层内部缺陷的检测提供了有效方法。     

建构主义理论背景下廊坊市大学生信息素养教育改革路径

文章阐述廊坊市大学生信息素养教育存在的问题,并针对当前存在的教学问题提出建构主义理论背景下大学生信息素养教育改革的具体路径:一是树立以学生为中心,教师为主导的信息素养教学理念;二是应用建构主义学习理论鼓励和引导大学生挖掘和评估信息的能力;三是建设以"师生信息素养能力提升"为前提的队伍建设机制;四是强化个体的自我培育,注重信息道德素养的自主提升。     

Adaptive fuzzy neural network control for a space manipulator in the presence of output constraints and input nonlinearities

Space manipulator is considered as one of the most promising technologies for future space activities owing to its important role in various on-orbit serving missions. In this paper, a novel adaptive fuzzy neural network (FNN) control scheme is proposed for the trajectory tracking control of an attitude-controlled free-flying space manipulator in the presence of output constraints and input nonlinearities. The parametric uncertainties and external disturbances are also taken into the consideration. First, a model-based controller is designed by using the barrier Lyapunov function (BLF) to prevent the position tracking errors from violating the predefined output constraints. Then, an adaptive FNN controller is designed by using two FNNs to compensate for the lumped uncertainties and input nonlinearities, respectively. Rigorous theoretical analysis for the semiglobal uniform ultimate boundedness of the whole closed-loop system is provided. The proposed adaptive FNN controller can guarantee the position and velocity tracking errors converge to the small neighborhoods about zero, while ensuring the position tracking errors within the output constraints even in the presence of input nonlinearities. To the best of the authors’ knowledge, there are relatively few existing controllers can achieve such excellent control performance in the same conditions. Numerical simulations illustrate the effectiveness and superiority of the proposed control scheme.     

复合材料层合板凹坑损伤目视检测影响因素分析

飞机复合材料结构设计中必须确定凹坑损伤的目视检测门槛值及其影响因素.采用3种直径的冲头,通过准静态方法对平板表面引入随机分布的凹坑损伤.考察板的角度、颜色以及检测人员水平3种因素对详细目视检测结果的影响.基于累积对数正态分布模型分析对比了不同因素条件下的检出概率.结果表明,蓝色板的凹坑损伤更容易被检出;接近垂直检测角度...