构建廊坊市区域创新系统的对策研究

本文就廊坊如何建立区域创新系统进行了探讨，分析了廊坊构建区域创新系统在主体要素方面的问题，并结合国内外构建区域创新系统的实践探索，提出了构建廊坊市区域创新系统的思路与对策。     

热插拔技术在机载计算机电源系统中的研究

为了解决高性能计算机分布式供电体系中间母线电压在热插拔状态下的可靠运行问题。对TPS2490热插拔控制器分析后进行了相关参数设计研究。设计出针对较高电压、大功率的热插拔电路,测试结果与预期相符,系统功能设计及性能要求已全部实现,解决了整个母线电压及系统的稳定性、可靠性问题,同时表明该系统具有供电质量好,可靠性高,易于维护等优点。     

星载机构类天线转动部位低频电缆布线方法研究

星载机构类天线内部有转动轴,而机构上的一些低频电缆必然要经过转动轴部位,随着机构的转动低频电缆会反复弯折,如果长时间弯折低频电缆会受损或折断,从而影响天线的可靠性及使用寿命。为了提高天线可靠性及延长使用寿命,文章提出了机构类天线转动部位低频电缆的布线方法。     

《单片机》课程教学研究

当前，单片机已成为电子系统智能化的最好工具。本文针对单片机教学过程中普遍存在的实际问题，从课堂教学、实验教学、课程实践三个方面进行了阐述，并提出了相应的解决方案。     

Approach to Interference Aircraft Automatic Riveting Process Control of Drilling and Riveting

Interference fit riveting is an effective way to improve the fatigue life of aircraft. The accurate control of riveting interference of aircraft automatic drilling and riveting equipment is achieved by process parameters including upsetting force and upset head height. It is valuable for aircraft manufacturing engineering. An approach to interference riveting process control based on the analysis of interference riveting stress field is proposed. According to assembly structure, the upsetting force is calculated by the material property and interference fit level, and the upset head height is deduced by the upsetting force. The experimental result shows that the interference fit level can be controlled accurately by the upsetting force and upset head height, and then, the quality of aircraft auto- matic riveting can be improved. The proposed approach is verified by the good match between the predicted result and the experimental result.     

Adaptive neural network control of nonlinear systems with unknown dynamics

In this study, an adaptive neural network control approach is proposed to achieve accurate and robust control of nonlinear systems with unknown dynamics, wherein the neural network is innovatively used to learn the inverse problem of system dynamics with guaranteed convergence. This study focuses on the following three contributions. First, the considered system is transformed into a multi-integrator system using an input–output linearization technique, and an extended state observation technique is used to identify the transformed states. Second, an iterative control learning algorithm is proposed to achieve the neural network training, and stability analysis is given to prove that the network’s predictions converge to ideal control inputs with guaranteed convergence. Third, an adaptive neural network controller is developed by combining the trained network and a proportional-integral controller, and the long-standing challenge of model-based methods for control determination of unknown dynamics is resolved. Simulation results of a virtual control mission and an aerospace altitude tracking mission are provided to substantiate the effectiveness of the proposed techniques and illustrate the adaptability and robustness of the proposed controller.     

便携式现场低频振动校准装置

针对大型结构的谐振频率低，用于其模态测试的振动通道多，系统复杂的特点。本文系统介绍了一种频率范围为0.1Hz～20Hz可用于现场低频振动测试系统校准的振动校准装置。可以有效地解决运载火箭等大型结构模态试验的振动测试系统的现场整体校准问题，对于提高模态试验的效率，节约送检时间等起到了重要的作用。     

一种VxWorks BSP 软件自动生成技术的设计与实现

VxWorks BSP 软件的可视化开发和代码自动生成技术是基于BSP 中最小系统配置单元组件化封装 以及常用外设驱动的标准化、通用化、组件化设计与封装实现的。该技术的实现可以使开发人员能够通过在可 视化工具中填写对应硬件信息，完成BSP 软件代码及对应文档的自动生成，实现了软件需求的直观化输入到 需求与设计的黑盒转化。能有效提高软件开发效率，增加软件成熟度，提高软件产品质量。     

面向林火持续侦察的多无人机分布式控制方法

为解决目前面向林火持续侦察多无人机（UAV）协同控制实用性与自主性不足的问题，基于蔓延速度诱导元胞自动机（SVICA）林火蔓延算法、无人机与传感器建模，构建了较为真实的三维多无人机火场侦察仿真环境与侦察效能指标，提出了一种面向林火持续侦察的多无人机双层分布式控制架构，在行动层基于强化学习训练的人工神经网络（ANN），实现了有风条件下无人机自主火场环绕与地形跟随功能，在策略层设计通过时域均匀分布算法进行各无人机空速的离散自主调节，最终达到多无人机林火持续侦察时域分布的均匀性与即时性目的。通过一系列数值仿真实验，验证了所提出的无人机分布控制策略在无人机损失和补充突发情况下的自适应性。基于无人机数量与侦察效能指标关系的实验与研究，定义了无人机出动阈值并验证了无人机长时间出动回收策略。最终实验结果表明，针对林火持续侦察任务，所提出的多无人机分布式控制方法具备一定的有效性与实用性。