基于可靠性分析的立方星网络维护架构优化

立方星编队或星座构成分布式空间传感器网络，可提高立方星执行复杂空间任务的能力。然而立方星易发生故障，其故障时间不确定性也导致了传感器网络性能的不稳定，这凸显了对立方星网络进行在轨维护的重要性。考虑立方星传感器网络的功能维持问题，描述了一种网络维护架构，通过定期发射、在轨备份立方星以及时更换故障立方星，从而提高网络对单星随机失效事件的快速响应与恢复能力。建立了该架构的运行成本模型，包括固定成本、储存成本和短缺成本。收集整理了真实的立方星寿命数据，并使用最大化拟合优度参数估计方法得到最优立方星寿命的随机模型。采用基于蒙特卡罗仿真的遗传算法优化备用立方星的补给时刻和补给数量，在备份成本与系统性能下降所带来的损失之间进行权衡，使得系统的综合收益最优。     

Evolution analysis of a UAV real-time operating system from a network perspective

With the flourishing development of Unmanned Aerial Vehicles (UAVs), the mission tasks of UAVs have become more and more complex. Consequently, a Real-Time Operating System (RTOS) that provides operating environments for various mission services on these UAVs has become crucial, which leads to the necessity of having a deep understanding of an RTOS. In this paper, an empirical study is conducted on FreeRTOS, a commonly used RTOS for UAVs, from a complex network perspective. A total of 85 releases of FreeRTOS, from V2.4.2 to V10.0.0, are modeled as directed networks, in which the nodes represent functions and the edges denote function calls. It is found that the size of the FreeRTOS network has grown almost linearly with the evolution of the versions, while its main core has evolved steadily. In addition, a k-core analysis-based metric is proposed to identify major functionality changes of FreeRTOS during its evolution. The result shows that the identified versions are consistent with the version change logs. Finally, it is found that the clustering coefficient of the Linux OS scheduler is larger than that of the FreeRTOS scheduler. In conclusion, the empirical results provide useful guidance for developers and users of UAV RTOSs.     

Crop parameters estimation by fuzzy inference system using X-band scatterometer data

Learning fuzzy rule based systems with microwave remote sensing can lead to very useful applications in solving several problems in the field of agriculture. Fuzzy logic provides a simple way to arrive at a definite conclusion based upon imprecise, ambiguous, vague, noisy or missing input information. In the present paper, a subtractive based fuzzy inference system is introduced to estimate the potato crop parameters like biomass, leaf area index, plant height and soil moisture. Scattering coefficient for HH- and VV-polarizations were used as an input in the Fuzzy network. The plant height, biomass, and leaf area index of potato crop and soil moisture measured at its various growth stages were used as the target variables during the training and validation of the network. The estimated values of crop/soil parameters by this methodology are much closer to the experimental values. The present work confirms the estimation abilities of fuzzy subtractive clustering in potato crop parameters estimation. This technique may be useful for the other crops cultivated over regional or continental level.     

弹-架间隙的非线性模拟与特性分析

以大长径比低速旋转火箭为例,探讨弹-架间隙非线性特性对不同发射装置系统的动力响应的影响,当飞行器以S个定心部沿发射装置滑移时,根据弹、架横向相对位移确定其定心部处接触刚度和支承特性,模拟弹-架间隙效应。分别就刚性和柔性两种发射装置,分析了间隙量、支承刚度和转速等因素对飞行器发射中的姿态和系统动力特性的影响,算例与实际情况的相吻合证明了该方法的有效性。     

用实验方法测定齿间摩擦对直齿齿轮机构振动的影响

着重以实验方法验证理论研究成果的正确性及可行性。测定结果表明:齿间摩擦对齿轮机构振动有着不可忽视的影响。     

改进残存比率法

1.问题的提出 从使用过程得到的故障统计资料常有信息丢失现象,用这种样本进行产品可靠性分析时,残存比率法是有效的工具,并已在实践中得到广泛应用。然而,用文献介绍的公式计算的残存比率和可靠度与真值有较大出入,当删除样品数较大时偏差尤其明显。本文的目的是力图找到发生这种偏差的原因和纠正偏差的方法,使残存比率法更加完善。     

基于神经网络的精确末制导律研究

针对动能杀伤武器重量极小化问题，基于神经网络技术、动态逆补偿法和非线性优化法，研究了两种精确末制导律，一种采用FFBP神经网络学习一要制导方程动态逆实现精神制导，另一种采用FFBP神经网络学习非线性优化解实现精确制导，仿真分析表明，前者对目标加速度估计误差过于敏感，无法实现；而后者在目标加速度有误差时仍能实现精确制导，估于偏置比例导引，并可以使动能杀伤武器重量极小化。     

基于多层前向神经网络的模拟电路故障诊断

文中提出把一个神经网络应用到电路故障诊断的故障字典法中,以提高故障诊断的适应能力。这样,就使得字典法不仅适用于电路的故障情况,还提高了故障诊断的有效性。模拟结果显示这种方法是有效的。     

WP7系列发动机寿命估算

应用研制的无线电遥测振动应力和温度系统以及轴间引电装置、高温应变计,成功地进行了高压压气机和高压涡轮叶片、轮盘的振动应力和温度测量;进行了关键盘LCF试验和第4级盘光弹试验;研究并采用了分析-验证-分析精化循环提高的热分析技术;研究采用了多参数协调处理法、稳态应力的加权平均法和瞬态应力特征相似法进行载荷处理和应力的同步合成,不仅减少了载荷简化带来的误差,而且计算寿命准确度达到了国内外期望的误差范围之内。研究结果已用于WP7系列发动机的定寿和延寿工作中。     

机械手的神经网络自适应滑动模控制器设计

 针对多关节机械手的鲁棒跟随控制器设计问题，提出了一种新的机械手神经网络自适应滑动模控制器设计方法，机械手的动力学非线性假设是完全未知的。在提出的控制结构中，高斯径向基函数神经网络用于在线补偿机械手的动力学非线性，参数学习律由稳定性理论得到。给出了系统稳定性和参数收敛性的证明。最后提出方法的可行性通过仿真得到验证。