采样周期

以增量型数字PID控制算法为主，用实验经验法整定ADC采样周期和PID参数。

The ADC sampling period and PID parameters is set for increment digital PID method .

变采样周期PI控制算法的仿真研究

Research of Variable Sampling Period PI Control Algorithm

DSP负责计算采样周期，把周期值送给FPGA。

DSP is responsibility for the calculation of sampling cycle and transmission the cycle value for FPGA .

大采样周期数字系统中D（Z）的设计与仿真

Design and Simulation of D ( z ) in Digital System Using Large Sampling cycle

在本文所提的方法中网络诱导时延τk并不需要限制在一个采样周期内。

In addition , network-induced delay τ k mentioned in this paper needs not to be restricted within one sampling period .

基于GPC的NCS非整数倍采样周期时延补偿方法

GPC-based delay compensation approach for NCS with delays of non-integral multiple of sampling period

证明了采样周期中的参数N不仅可以用来调节闭环系统的响应速度，而且与系统的稳定性有关。

It is proven the parameter N in the sampled period not only can adjust the response speed , but also is related to the stability of the system .

结果表明万算子系统的鲁棒稳定性界随着采样周期的变化而变化，这是与Z域的不同之处，我们可以看出随着采样周期的减小，δ算子系统的鲁棒稳定界的范围扩大，系统仍然稳定。

It results in that with the sampling periods decreasing the bounds of the system stability is increasing and the system is stable all the same .

基于USS协议网络控制系统的采样周期与系统性能

System Performance and Sampling Cycle of the Net Control System Based on USS Protocol

在通常的脉冲控制系统中，当输入信号是阶跃函数时，系统的过渡过程至少在n个采样周期内才能完全结束（n是控制对象的阶数）。

In ordinary sampled-data control systems the system response to a step input can reach its equilibrium state only within n or more sampling intervals ( n is the order of the controlled plant ) .

介绍了PID调节器的数字化推导过程和采样周期的选择，讨论了一种基于神经网络的自适应PID调节器的设计。

The choice of numeral process and sampling cycle in PID adjuster were introduced by this article , meanwhile , it discussed projection of adaptive PID adjuster which was based on neural network .

在基于IP网络的网络控制系统（NCSs）中，网络诱导时延变化显著且往往大于一个采样周期。

In networked control systems ( NCSs ) over IP networks , the network-induced delay often varies dramatically and might be longer than a sampling period .

定量研究M/T法测速采样周期Ts和光码盘P值对系统控制精度、动态特性的影响及对策。

This paper analyzes the influence of M / T measuring speed sampling period TS and pulse light generator on the accuracy of the system control and the dynamic characteristics and proposes their game .

提出了利用DOS操作系统的时间系统，通过软件变成适合于不同采样周期时间系统的方法。

It also put forward an effective method to utilize time system of DOS operated system to produce time system of different sample period by means of softwares .

在假设NCS的被控对象是一个时延系统，网络时延是随机的且小于一个采样周期的情况下，将此类NCS模型化为一个混合系统。

Supposed that the network induced delay is random and less than the sampling period , the plan with delay is modeled as a hybrid system .

综合各方因素，最终选定采样周期为40μs，并给出了基于matlab函数进行频率预畸变的离散化方法。

Considering the combined impact of all kinds of factor , the sampling period is chosen to be 40 ^ s. And the discretization method with frequency prewarping is presented based on a MATLAB function in the thesis .

针对实际控制系统中，特别是采用Microsoftwindows平台的计算机控制系统，普遍存在采样周期不稳定问题，详细讨论了该问题中系统采样周期扰动的鲁棒边界。

The robust bound to linear discrete systems is expounded owing to the disturbances of sampling periods , which is generally in practical digital control system , especial in which are with the Microsoft Windows as the operation system .

该模型通过周期地采集系统的工作状态，并以此为根据调整任务在下一个采样周期内的运行属性，达到在满足任务的QoS的前提下，提高系统的并发程度的目的。

Through sampling the system states periodically , and adjusting the service attributes to change the resource utilization in the next sampling period , this model guarantees the basic QoS requirement , improves the resource utilization and concurrency .

随着交通流采样周期的缩短，其混沌效应愈加明显，基于最大lyapunov指数的预报模型的优势将会更加明显。

Shorten the sampling period with the traffic flow , the chaotic effect is even more obvious , and the advantages of the forecasting model based on the largest lyapunov exponent will become more pronounced .

该方法基于空间矢量调制SVPWM（SpaceVectorPulsewidthModulation），可以精确调节逆变器中性点电压，使其在每个采样周期结束时都能回到平衡点，仿真结果验证了该方法的正确性。

This method is based on SVPWM ( Space Vector Pulse Width Modulation ), and can accurately adjust the neutral point potential of the inverter , so that at the end of each sampling period it can be returned to the equilibrium point .

仿真实验时，一台PC机以固定的采样周期通过RS232接口向DSP芯片传输敏感器测量数据，DSP在接收到所需数据后驱动导航算法进行实时的解算处理。

When simulation experimentation is in operation , one computer transmit sensor data to DSP chip through RS232 interface in fixed sampling period . After receiving the needed data , DSP run on-board program and do real-time navigation operation .

提出了一种相控阵雷达目标跟踪系统性能评估指标体系，给出了自适应采样周期下的指标评估公式，Monte-Carlo仿真统计结果表明了其可行性。

A performance evaluation framework of multi-target tracking system of phased array radar is proposed , the performance evaluation formulae under adaptive sampling are given , and the Monte-Carlo simulation results show its feasibility .

最后建立了励磁系统的数学模型，通过MATLAB仿真分析了PID调节参数及采样周期对系统稳定性影响，为调节器参数整定提供了理论指导。

At last , the math model of excitation system is founded and through MATLAB simulation , the effect of PID parameters and sampling cycle on the stability of excitation system is analyzed , which can be used in the setting of regulator parameters .

本文提出的相容性条件为，闭环Euler近似模犁误差的绝对值不大于某个系数乘以采样周期平方与状态模长的乘积。

The consistency condition is that the absolute value of the error of the Euler approximation is no more than some coefficient times the product of the square of sample period and the norm of states .

在对几种基于固定结构IMM的自适应采样周期算法介绍的基础上，针对传统递推法的不足提出了改进算法。

Several adaptive update interval algorithms based on fixed structure IMM are introduced , and a modified algorithm is proposed to overcome the shortage of recursive adaptive update interval method .

硬件技术的成熟使得采样周期T可以很小，但当T→0时，Z变换将导致极大的计算误差，而Δ变换描述的离散模型收敛于连续系统，更适于高精度控制。

But if T → 0 , Z transform leads to large computational error . However , a discrete system described by Δ transform converges to the actual continuous counter part . So Δ transform is more propitious to high precision control .

从多轴CNC系统联动的实时性出发，提出了一步步长的NC代码段的分段式CNC体系结构，该体系结构解决了插补数据不能在采样周期内实时计算的问题。

Segmented CNC architecture with one step feed length 's NC data block is presented for realtime control of the CNC system with multi-axis control . The problem that interpolating data can 't be real-time ready in a sampling time is overcome by the method .

Madwed与Boxer-Thaler离散化方法中采样周期的选择

Sampling Period Selection of Madwed and Boxer Thaler Discretization Methods

该算法利用控制误差动态调节回路的采样周期，同时根据误差绝对值积分（IAE）分配回路的优先级。

The sampling period is adjusted dynamically using the control error via the proposed algorithm , and the priority is allocated according to IAE .

在纸浆浓度调节中，由于传输滞后及执行器的惯性，尤其是动刀式浓度变送器采样周期长，采用数字PID调节将产生严重的滞后效应，难以收到令人满意的结果。

In the process of pulp consistency control , digital PID regulating will bring serious lag effect , because of the transmission lag , the actuator 's inertia , especially the long sampling period of the moving blade consistency transmitter . It 's difficult to achieve satisfactory result .