EASTװ�ý���ʽ���������

在一种自动补偿零漂积分器的基础上,设计了一种交替式积分器。该积分器把积分时间分割为短时间段,用两个自动补偿零漂积分器交替进行积分,通过累加电路将每段积分信号累加起来得到完整的积分信号。积分器采用CPLD控制时序,在400s内的漂移在10mV左右,能够满足EAST装置实验的需要。     

基于LabVIEW的罗柯线圈数字积分器的设计与实现

为满足使用罗柯线圈对超导导体的临界电流测试的需求,本文基于LabVIEW的同步采集与实时处理技术,设计了一套可搭配罗柯线圈的数字积分器,实现对罗柯线圈输出数据的采集与实时积分处理、显示以及数据回放等功能。该数字积分器相比模拟积分器具有易使用、误差低、低漂移等优点。实验测试结果表明该数字积分器的测试误差最大为0.8%,满足目前高温超导导体电流测试的要求。     

无源RC积分器在多脉冲信号测量中的问题分析

由微分测量探头和积分器构成的微分积分测量系统广泛应用于脉冲电压和电流测量。依据无源RC积分器的等效电路,分析了在多脉冲信号测量中,无源RC积分器在实现微分信号的积分还原时,可以引起信号的平顶降和信号基线偏离,给出了平顶降和基线偏离与信号脉冲宽度和积分常数的定量关系,计算了在不同积分器参数和脉冲信号参数时的平顶降和基线偏离结果,并且与PSpice电路模拟结果进行了比较,两种结果一致。按照此定量关系,可以根据脉冲信号特点和测量要求,准确确定积分器参数。     

�п����װ���дų�̽��궨ϵͳ

讨论了用于磁场测量的磁感应线圈的有效感应面积和积分器的积分时间这两个参数的精确标定,描述了两种标定系统的测量原理以及其相应的特点。     

测量软X射线脉冲信号的门控积分器

 研制了满足ICF诊断中软X射线能量测量精度要求的具有限定时间积分功能的门控积分器。测试结果表明, 门控积分器的门有效导通时间约为7.8ns; 用信号源做被积信号, 门控积分器与示波器同时测量, 积分非线性小于3%; 门控积分器与示波器测量对比, 最大误差小于门控积分器满量程的5%。     

ն��ʽ��Ư�Ƴ�ʱ�������

通过对托卡马克中模拟积分器积分误差的分析,设计了一种由数字信号处理部件动态抑制这些误差的斩波式积分器,并在实验中获得了长时间、低漂移的积分效果。     

����DSP��ģ����ϳ�ʱ�������

设计了基于数字信号处理技术的混合式长时间积分器,利用DSP计算出一定时间t内积分器的漂移斜率,从而计算出漂移量,进行扣除,达到减少漂移的目的。EAST装置上的实验结果证明,积分器解决了零点漂移的问题,适合于托卡马克放电实验中诊断信号的测量。     

纳秒电磁脉冲测量用D-dot探头设计及实验

为测量高空核爆炸电磁脉冲(HEMP)模拟器中脉冲电场波形(峰值电场大于50kV/m、上升时间小于2.3ns),设计了一种新型圆锥形D-dot探测器。介绍了D-dot探头的工作原理,分析了探头与传输电缆的阻抗匹配条件,确定了探头的结构、尺寸等参数。D-dot探头测量脉冲电场的一阶微分信号,通过积分器积分和数字积分两种积分方式获得脉冲电场信号。测量电磁脉冲实验结果表明,积分器积分和数字积分两种积分方式都能恢复脉冲电场波形,其中数字积分效果更好;与有源光纤电场测量系统实验测量结果相比,该Ddot探测器更适合测量纳秒级快前沿的电磁脉冲波形,满足测量快前沿HEMP信号的设计要求。     

HL-2M 装置磁测量积分器设计

在核聚变实验中, 积分器是还原微分信号的基本手段,低漂移积分器系统的研制是托卡马克实验中 的重要环节。介绍了用于 HL-2M 装置磁测量的低漂移积分器系统。通过模拟与数字补偿相结合的方法减小漂移, 提高了信号间的测量精度。性能测试显示,积分器输出漂移小于 2mV/15s,积分时间常数精度优于 0.3%。该积分 器应用于 HL-2M 装置实验,满足磁测量系统的测量需要。     

基于DSP+FPGA的实时信号采集系统设计与实现

为了提高对实时信号采集的准确性和无偏性,提出一种基于DSP+FPGA的实时信号采集系统设计方案。系统采用4个换能器基阵并联组成信号采集阵列单元,对采集的原始信号通过模拟信号预处理机进行放大滤波处理,采用TMS32010DSP芯片作为信号处理器核心芯片实现实时信号采集和处理,包括信号频谱分析和目标信息模拟,由DSP控制D/A转换器进行数/模转换,通过FPGA实现数据存储,在PC机上实时显示采样数据和DSP处理结果。通过仿真实验进行性能测试,结果表明,该信号采集系统能有效实现实时信号采集和处理,抗干扰能力较强。     

Active noise control in a duct by an analog neural network circuit

Conventional active noise control (ANC) in ducts has been realized with digital signal processing. The physical size of the conventional ANC systems is usually large owing to the signal processing interval, and the cost of the system depends on the price of the digital signal processor (DSP). This paper proposes a new ANC system with an analog neural network circuit, which will process signals in short time periods without DSP. The proposed neural network circuit has a simple structure consisting of analog multipliers and an integrator, and we simulated the performance of the circuit by HSPICE. We also fabricated a circuit connected to a real duct and confirmed operation of the proposed ANC system.     

Photonic temporal integration of broadband intensity waveforms over long operation time windows

We propose and experimentally demonstrate a novel design for temporal integration of microwave and optical intensity waveforms with combined high processing speed and a long operation time window. It is based on concatenating in series a discrete-time (low-speed) photonic integrator and a high-speed analog time-limited intensity integrator. This scheme is demonstrated here using a cascaded fiber-based interferometers' system (as a passive eight-point discrete-time integrator) and an analog time-limited intensity integrator. The latter is based on temporal intensity modulation of the input waveform with a rectangular-like incoherent energy spectrum followed by linear dispersion. Using this setup, we experimentally achieve accurate time integration of intensity signals with ~36 GHz bandwidths over an operation time window of ~4 ns, corresponding to a processing time-bandwidth product of >144.     

Explicit multi-symplectic extended leap-frog methods for Hamiltonian wave equations

In this paper, we study the integration of Hamiltonian wave equations whose solutions have oscillatory behaviors in time and/or space. We are mainly concerned with the research for multi-symplectic extended Runge–Kutta–Nyström (ERKN) discretizations and the corresponding discrete conservation laws. We first show that the discretizations to the Hamiltonian wave equations using two symplectic ERKN methods in space and time respectively lead to an explicit multi-symplectic integrator (Eleap-frogI). Then we derive another multi-symplectic discretization using a symplectic ERKN method in time and a symplectic partitioned Runge–Kutta method, which is equivalent to the well-known Störmer–Verlet method in space (Eleap-frogII). These two new multi-symplectic schemes are extensions of the leap-frog method. The numerical stability and dispersive properties of the new schemes are analyzed. Numerical experiments with comparisons are presented, where the two new explicit multi-symplectic methods and the leap-frog method are applied to the linear wave equation and the Sine–Gordon equation. The numerical results confirm the superior performance and some significant advantages of our new integrators in the sense of structure preservation.     

Proposal for arbitrary-order temporal integration of ultrafast optical signals using a single uniform-period fiber Bragg grating

A simple and practical all-fiber design for implementing arbitrary-order temporal integration of ultrafast optical waveforms is proposed and numerically investigated. We demonstrate that an ultrafast photonics integrator of any desired integration order can be implemented using a uniform-period fiber Bragg grating (FBG) with a properly designed amplitude-only grating apodization profile. In particular, the grating coupling strength must vary according to the (N-1) power of the fiber distance for implementing an Nth-order photonics integrator (N=1,2,...). This approach requires the same level of practical difficulty for realizing any given integration order. The proposed integration devices operate over a limited time window, which is approximately fixed by the round-trip propagation time in the FBG. Ultrafast arbitrary-order all-optical integrators capable of accurate operation over nanosecond time windows can be implemented using readily feasible FBGs.     

Multi-symplectic variational integrators for nonlinear Schrdinger equations with variable coefficients

In this paper, we propose a variational integrator for nonlinear Schrdinger equations with variable coefficients. It is shown that our variational integrator is naturally multi-symplectic. The discrete multi-symplectic structure of the integrator is presented by a multi-symplectic form formula that can be derived from the discrete Lagrangian boundary function. As two examples of nonlinear Schrdinger equations with variable coefficients, cubic nonlinear Schrdinger equations and Gross–Pitaevskii equations are extensively studied by the proposed integrator. Our numerical simulations demonstrate that the integrator is capable of preserving the mass, momentum, and energy conservation during time evolutions. Convergence tests are presented to verify that our integrator has second-order accuracy both in time and space.     

含时量子动力学模拟的低存储龙格-库塔方法

A wide range of quantum systems are time-invariant and the corresponding dynamics is dictated by linear differential equations with constant coefficients.Although simple in mathematical concept,the integration of these equations is usually complicated in practice for complex systems,where both the computational time and the memory storage become limiting factors.For this reason,low-storage Runge-Kutta methods become increasingly popular for the time integration.This work suggests a series of s-stage sth-order explicit RungeKutta methods specific for autonomous linear equations,which only requires two times of the memory storage for the state vector.We also introduce a 13-stage eighth-order scheme for autonomous linear equations,which has optimized stability region and is reduced to a fifth-order method for general equations.These methods exhibit significant performance improvements over the previous general-purpose low-stage schemes.As an example,we apply the integrator to simulate the non-Markovian exciton dynamics in a 15-site linear chain consisting of perylene-bisimide derivatives.     

居中热库蛙跳算法的大尺度模拟测试

分子动力学模拟一个必不可少的要素是对运动方程的准确高效积分. 尽管在动力学传播框架内的现代计算工具中大量使用了传统的蛙跳算法,研究表明蛙跳算法仍然可以进一步改进以获得更好的性能. 居中控温方案中蛙跳的改进版本(蛙跳-middle)实现了更高的精度和效率,即使积分时间步长扩大了几倍,也能保持稳定的动力学传播. 本文使用常规和增强采样模拟中对两个积分算法(蛙跳和蛙跳-middle)进行大尺度模拟测试,旨在标定由时间步长引起的全局性质(例如,详细的势能项)的变化行为以及复杂系统的实际模拟中的局部可观察量(例如,自由能变化或键长). 测试集由六个化学和生物相关系统组成,包括$N$-甲基乙酰胺和A₇-T₇DNA中二面角翻转的构象变化、丙二醛内的分子内质子转移、苯和苯酚针对T4溶菌酶L99A的结合自由能计算、乙胺醇低共熔溶剂中的羟基键长变化以及蓝光受体蛋白的势能计算. 所有结果显示蛙跳-middle积分算法中时间步长引起的误差较小. 蛙跳-middle相对传统蛙跳积分算法的性能提高对于全局属性比局部可观测量更大. 总体而言,目前的工作结果表明,在实际化学和生物系统的模拟中,应优先应用蛙跳-middle算法以获得准确的热力学行为和性质.     

A CSP and tabulation-based adaptive chemistry model

We demonstrate the feasibility of a new strategy for the construction of an adaptive chemistry model that is based on an explicit integrator stabilized by an approximation of the Computational Singular Perturbation (CSP)-slow-manifold projector. We examine the effectiveness and accuracy of this technique first using a model problem with variable stiffness. We assess the effect of using an approximation of the CSP-slow-manifold by either reusing the CSP vectors calculated in previous steps or from a pre-built tabulation. We find that while accuracy is preserved, the associated CPU cost was reduced substantially by this method. We used two ignition simulations – hydrogen–air and heptane–air mixtures – to demonstrate the feasibility of using the new method to handle realistic kinetic mechanisms. We test the effect of utilizing an approximation of the CSP-slow-manifold and find that its use preserves the order of the explicit integrator, produces no degradation in accuracy, and results in a scheme that is competitive with traditional implicit integration. Further analysis on the performance data demonstrates that the tabulation of the CSP-slow-manifold provides an increasing level of efficiency as the size of the mechanism increases. From the software engineering perspective, all the machinery developed is Common Component Architecture compliant, giving the software a distinct advantage in the ease of maintainability and flexibility in its utilization. Extension of this algorithm is underway to implement an automated tabulation of the CSP-slow-manifold for a detailed chemical kinetic system either off-line, or on-line with a reactive flow simulation code.