基于非均匀采样系统的光栅刻划机频谱分析方法研究

数据采样过程中,由于操作系统定时精度、任务切换等因素的影响,采样系统无法实现均匀采样。使用普通的均匀离散傅里叶变换处理非均匀采样数据会存在较大误差。针对光栅刻划机系统,采用了时域插值方法和非均匀离散傅里叶变换方法进行了仿真验证,对比均匀傅里叶变换结果,减小了频谱变换带来的误差。使用时域插值法和非均匀傅里叶变换,对光栅刻划机实际采样数据进行分析,获得了更好的效果。     

基于线性Lagrange插值法的变电站IED采样值接口方法

随着电子式互感器技术的发展和IEC 61850标准的推广,变电站间隔层智能设备的交流采样技术将由传统的对模拟信号A/D转换技术变革为以太网通信技术。为了不改变传统保护、测控装置算法,分析了采用线性Lagrange插值原理对合并单元输入的采样值进行数据抽取的方法,进行了误差分析,并分析了谐波信号对插值算法的影响。最后简要介绍了该方法在新型数字化变电站测控装置中的应用,经测试,精度满足要求。     

一种非均匀采样重构芯片热信号的方法

实时片上热信号是集成电路芯片动态热管理(DTM)的重要信息。提出了一种基于Voronoi图的非均匀采样重构芯片热信号的方法,该方法在16核的处理器上每核9个传感器的情况下给出了最小2.25%的平均误差,并且通过与距离倒数加权平均法的平均运行时间的对比验证了该种方法的优越性。     

Representation of High Resolution Images from Low Sampled Fourier Data: Applications to Dynamic MRI

In this work we propose the use of B-spline functions for the parametric representation of high resolution images from low sampled data in the Fourier domain. Traditionally, exponential basis functions are employed in this situation, but they produce artifacts and amplify the noise on the data. We present the method in an algorithmic form and carefully consider the problem of solving the ill-conditioned linear system arising from the method by an efficient regularization method. Two applications of the proposed method to dynamic Magnetic Resonance images are considered. Dynamic Magnetic Resonance acquires a time series of images of the same slice of the body; in order to fasten the acquisition, the data are low sampled in the Fourier space. Numerical experiments have been performed both on simulated and real Magnetic Resonance data. They show that the B-splines reduce the artifacts and the noise in the representation of high resolution Magnetic Resonance images from low sampled data. This work was supported by the Italian MIUR project Inverse Problems in Medical Imaging 2004–2006 (grant no 2004015818). Germana Landi received the BS degree in Mathematics from the University of Bologna in 1997 and the Ph.D. degree in Computational Mathematics from the University of Padova in 2000. She is currently a postdoctoral researcher in Numerical Analysis at the Department of Mathematics of the University of Bologna. Her research interests include medical imaging and inverse ill-posed problems. Elena Loli Piccolomini received the BS degree in Mathematics from the University of Bologna in 1988. She is an associate professor in Numerical Analysis at the Department of Mathematics of the University of Bologna. Her research interests include numerical methods for the regularization of discrete ill-posed problems with application to medical imaging (MR, TAC, SPECT, PET).     

Sampling-based self-triggered coordination control for multi-agent systems with application to distributed generators

This work investigates the coordination control problem for multiple distributed generation (DG) units with a hierarchical control structure. At the secondary control level, an event-triggered power sharing strategy based on the concept of multi-agent consensus has been proposed for the DG coordination control. Unlike existing consensus-based DG control approaches, the proposed control algorithm is based on sampled data. Thus the event triggering and controller updating actions can only be executed at the sampling time instants. To further reduce the amount of communication among DGs, the proposed event-triggered algorithm is extended to a self-triggered algorithm, where the inter-agent communication transmission is no longer required to be executed at each sampling time instant. The case study results show that the self-triggered algorithm can achieve nearly the same performance on DG coordination as that of the event-triggered algorithm, while significantly reduces the amount of communication.     

Sampled‐data adaptive control of a class of nonlinear systems

The paper considers the discrete‐time implementation of a class of backstepping adaptive controllers for uncertain nonlinear systems in the parametric strict‐feedback form. The stability of the resultant sampled‐data system cannot be guaranteed when the direct discretization of the continuous‐time backstepping controller is applied to the same system via a sampling and hold device. Therefore, the paper has presented a sampled‐data control scheme which involves first modifying the existing continuous‐time controller and then discretizing it using the forward Euler method. It has been shown that the proposed control guarantees in a semi‐global sense the boundedness of all the variables of the overall sampled‐data system under some conditions. Particularly, the state of the nonlinear system to be controlled can converge to any arbitrarily small neighbourhood of the origin. Copyright © 2011 John Wiley & Sons, Ltd.     

硬质路面条件下履带车辆转向模型分析及验证

履带车辆与地面之间的作用关系复杂,基于地面剪切位移的方法通常会用到对时间和位置的积分,模型较为复杂,无法直接应用到车辆的实时控制算法中。通常情况下,履带车辆转向分析会将接地压力看作连续线性分布或者多矩形分布,但是试验和计算结果均表明硬质土壤条件下,履带接地压力为多峰值分布,前述两种分布均不能体现接地压力的真实状态。本文针对上述问题,在前人研究的基础上,对履带接地压力分布进行求解,提出了履带车辆接地压力简化模型。该简化模型更符合硬质路面履带接地压力的真实状态,并被应用于履带车辆转向动力学分析与验证。利用J.Y.Wong提出的垂向负载-剪切位移变化关系解决了垂向压力变化的同时剪切位移计算的问题,提出了履带车辆转向分析模型(以下简称分析模型),试验结果表明该模型有较高的精度。但是其复杂度仍然较高,为了进一步简化模型,借鉴轮式车辆轮胎侧偏角和滑转率的概念,利用履带车辆履带-地面剪切位移关系推导了简化履带车辆动力学模型(以下简称简化模型)。该模型避免了复杂的积分或者求和,显著降低了履带车辆动力学模型的复杂度,能够应用于基于模型的无人驾驶履带车辆轨迹控制方法中,且模型精度接近前述履带车辆转向分析模...     

端面反射对SG-DBR激光器性能的影响

通过传输矩阵模型,理论研究了不同端面反射的存在对取样光栅分布Bragg反射(SG-DBR)镜以及集成半导体放大器(SOA)的SG-DBR镜反射谱的影响,进而研究了端面反射的存在对SG-DBR激光器以及集成SOA的激光器模式的影响,结果表明,端面反射的存在会使取样光栅的各级反射峰由1个分裂为2个甚至多个,并可能使边峰的强度高过零级峰,这将会严重恶化SG-DBR激光器及其集成SOA的激光器模式特性和调谐特性。理论分析与实验结果基本吻合。当端面的反射率小于0.01时,端面反射对于SG-DBR激光器的影响可以忽略不计。     

基于IEC 61850-9-2采样值传输模型的研究

IEC 61850标准定义了采样值传输的抽象模型,应用于采样值传输及相关服务。为了满足该标准对变电站自动化系统以及智能设备所提出的灵活性、互操作性的要求,在研究IEC 61850信息模型内涵的基础上,对合并单元的信息模型及其映射进行了介绍,构建了合并单元的采样值传输模型;通过预配置采样值控制块,进行IEC 61850-9-2采样值传输,分析了合并单元配置信息的灵活性,通过实验验证了信息配置的正确性。     

基于STM32的扭矩扳手检定装置的设计与实现

针对PLC扭矩扳手检定装置工作效率低,系统稳定性差,本文设计研发了一种新型全自动的扭矩扳手检定装置。该装置有五个扭矩传感器,可检定0-3000 N·M内的扭矩扳手。采用高精度采样模块对信号过滤隔离后传给主控制模块,并对数据进行分析处理;利用RS232传递给电机驱动模块和触摸屏,三个模块分别采用STM32作为主控制器集成为一个主控制板。测试表明,该装置系统稳定性好,抗干扰能力强,大大提高了工作效率和检定准确度。