相变存储器存储单元瞬态电流测量

介绍了相变存储单元瞬态电流的测量方法。根据相变存储器的工作特性,利用微弱电流取样电阻测量法,合理选择测量参数测得了相变存储单元的瞬态电流,电阻与电流关系特性曲线和动态电阻。并根据测量电路等效电路模型分析影响测量的因素,估算出电路中的分布电容。     

分布式光纤测温在动力电缆温度监测中的应用

动力电缆温度监测是可以及时发现电缆线路过热点位置和检测运行线路的绝缘状态,从而保障电缆安全稳定运行的技术措施。针对电缆过热事故的主要原因和特点,提出采用分布式光纤测温技术对电缆沿线温度进行监测预警,给出了分布式光纤测温系统的原理、组成和光缆布设方案,此系统对保证电力系统的安全运行有重要意义。     

航空反潜综合模拟训练系统研究与设计

主要介绍分布式交互仿真技术在航空反潜模拟训练系统设计上的应用,阐述了模拟系统的组成,根据系统的设计要求,构造了分布式仿真对象,并对每个对象构建了仿真模块,最后分析了航空反潜综合训练系统的设计思想。     

PID控制在高炉煤气置换焦炉煤气中的应用

介绍了在八钢高炉煤气置换焦炉煤气项目中,调节阀PID控制的设计与应用。     

基于交流比例积分控制器的单相逆变器

提出一种电感电流、输出电压瞬时值反馈控制和负载电流前馈控制相结合的复合控制策略。在此基础上,研制了一台800W的单相逆变器。实验结果表明,提出的控制策略改善了逆变器输出电压的波形,提高了系统的暂态特性。     

DKNNS:面向延迟敏感型应用的可扩展精确分布式K近邻搜索算法研究

为了降低用户访问延迟,延迟敏感型网络应用需要选择合适的邻近服务节点响应用户访问请求.分布式K近邻搜索通过可扩展的选择距任意用户节点邻近的K个服务节点,可以有效满足网络应用延迟优化的目的.已有工作在精确度以及可扩展性等方面存在不足.针对可扩展精确的K近邻搜索问题,文中提出了分布式K近邻搜索方法DKNNS(distributed K nearest neighbor search).DKNNS将大量的服务节点组织为邻近性感知的多级环,通过最远节点搜索机制选择优化的K近邻搜索初始化节点,然后基于回退方式快速的在目标节点邻近区域发现K个近邻.基于理论分析,模拟测试以及真实环境下的部署实验发现,在不同规模的节点集合下,DKNNS算法能够确定近似最优的K个服务节点.且DKNNS的查询延迟,查询开销均显著低于Meridian算法.最后,DKNNS的返回结果相对于Meridian具有较高的稳定性.     

Multi-channel SAR imaging based on distributed compressive sensing

The rapid development of compressive sensing(CS)shows that it is possible to recover a sparse signal from very limited measurements.Synthetic aperture radar(SAR)imaging based on CS can reconstruct the target scene with a reduced number of collected samples by solving an optimization problem.For multi-channel SAR imaging based on CS,each channel requires sufficient samples for separate imaging and the total number of samples could still be large.We propose an imaging algorithm based on distributed compressive sensing(DCS)that reconstructs scenes jointly under multiple channels.Multi-channel SAR imaging based on DCS not only exploits the sparsity of the target scene,but also exploits the correlation among channels.It requires significantly fewer samples than multi-channel SAR imaging based on CS.If multiple channels offer different sampling rates,DCS joint processing can reconstruct target scenes with a much more flexible allocation of the number of measurements offered by each channel than that used in separate CS processing.     

An iterative linear quadratic regulator based trajectory tracking controller for wheeled mobile robot

We present an iterative linear quadratic regulator(ILQR) method for trajectory tracking control of a wheeled mobile robot system.The proposed scheme involves a kinematic model linearization technique,a global trajectory generation algorithm,and trajectory tracking controller design.A lattice planner,which searches over a 3D(x,y,θ) configuration space,is adopted to generate the global trajectory.The ILQR method is used to design a local trajectory tracking controller.The effectiveness of the proposed method is demonstrated in simulation and experiment with a significantly asymmetric differential drive robot.The performance of the local controller is analyzed and compared with that of the existing linear quadratic regulator(LQR) method.According to the experiments,the new controller improves the control sequences(v,ω) iteratively and produces slightly better results.Specifically,two trajectories,’S’ and ’8’ courses,are followed with sufficient accuracy using the proposed controller.