不完全微分

采用不完全微分PID算法实现电解电流的闭环控制，并且应用人工神经网络技术建立系统的施电模型。

The inexact differential PID algorithm is adopted to implement the closed loop control of the electro chemical dissolution current . The current distribution model on artificial neural network is established .

设计了基于不完全微分PID算法的可控电解珩磨电流闭环控制方法，研制了电解电流获得、放大以及计算机采集通道，并编制相应的控制程序。

Design the specific machining way of EC current closed-loop control technology on inexact differential PID algorithm , develop the EC current acquirement , amplification and the computer real time collecting passageway , and design relevant controlling program .

不完全微分型PID算法在化工行业中的应用

Application of No Complete Differential PID Algorithm in Chemical Industrial Field

基于不完全微分PID算法的神经网络控制

The Neural Network Control based on Incomplete Differential PID Algorithm

二自由度不完全微分PID控制器

A Two Degrees of Freedom PID Controller with Incomplete Derivative

不完全微分PID算法在纯滞后系统中的应用

Application of PID Algorithm with Incomplete Derivation in Time-delay System

不完全微分PID控制的FPGA的研究

The Research of Incomplete Differential PID Controller Based on FPGA

一类不完全微分PID控制的实现方法

Realization of a class of incomplete derivative PID control

不完全微分PID控制自动调速系统仿真

The Simulation of the Control over an Automatic Speed Regulating System with Incomplete Differentiation PID

经过对比分析，采用不完全微分PID控制策略。

Compared to different PID strategies , the incomplete derivative PID control strategy was adopted .

不完全微分型PID控制的神经元实现

Neuron Realization of Incomplete Derivative PID Control

在研究模糊技术与PID控制相结合的基础上，提出了微分剥离法和将不完全微分引入法这两种参数模糊自整定PID控制器，并设计出一种参数模糊自整定PID控制器。

On the basis of this , work out a parameters ' fuzzy auto-tuning PID controller .

但在参数整定方法上，不完全微分型PID控制器却没有现成的方法可循。

However , it has no established method can be followed in the method of parameter setting .

本篇论文还着重论述了标准PID位置式和增量式PID控制算法数字化过程，并针对其在励磁调节规律中存在的弊端，进一步论述了不完全微分PID控制策略。

This paper also lay stress on discussing a digital process of standard position PID and increment PLO .

以蚁群系统和蚁群算法为基础，提出了一种新的具有不完全微分的最优PID控制器的设计方法。

A new designing method for the optimal PID controller with incomplete derivation is proposed based on ant system and ant algorithm .

论文建立了电磁轴承轴向的数学模型，介绍了几种传统的不完全微分PID控制算法。

Secondly , the math model of AMB in this paper is built and several kinds of incomplete derivative PID algorithms are introduced .

论文给出了一种基于蚁群算法的不完全微分PID控制器对炉温进行控制的方案。

This thesis puts forward a new method for furnace temperature which is controlled by incomplete derivative PID based on ACA ( Ant Colony Algorithm ) .

神经网络与不完全微分的PID算法相结合应用于神经网络控制，其中神经网络使用的是BP网络和神经元。

In this paper the authors combine the incomplete differential PID algorithm with the neural network that uses the BP network and neuron for neural network control .

提出了一种新的最优模糊PID控制器，它由两部分组成，即在线模糊推理机构和带有不完全微分的常规PID控制器。

A new kind of optimal fuzzy PID controller is proposed , which is composed of an on_line fuzzy inference mechanism and a conventional PID controller with incomplete derivation .

具有不完全微分的Fuzzy-GAPID控制器及其在智能仿生人工腿中的应用

Fuzzy-GA PID controller with incomplete derivation and its application to intelligent bionic artificial legs

位置环采用变结构控制的方式，按照位置偏差值的大小分别对位置环进行全速控制、模糊控制、不完全微分PID控制。

The position loop adopted variable structure control method , according to the value of the position deviation , full speed control , fuzzy control and incomplete differential PID were adopted in the position loop .

即在轴承的线性范围内采用不完全微分PID算法，该算法具有动态响应快、调节时间短和无静差等优点，通过仿真发现控制参数与系统性能之间的关系；

In the linear scope the non-complete PID algorithm was adopted to eliminate the static error and improve the dynamic performance . The relationship of the controller 's parameters and the system performance was simulated .

本文阐述了二自由度系统的类型及应用价值，推出了基本运算为不完全微分PID的滤波型二自由度控制算法，它具有结构简单、参数整定容易、比常规PID控制器性能优越等特点。

The types of the two degree-of-freedom system and its value of application are described in this paper . A control algorithm for two degree-of-freedom PID controllers is given . The operation uses incomplete derivative PID .

有关神经网络PID控制的文献中使用的大都是PID的一般控制算法，而性能相对优于一般PID控制算法的不完全微分PID算法则很少用于神经网络控制中。

In literatures about neural network PID control , mostly the ordinary PID algorithm is adopted , while the incomplete differential PID algorithm which is much better than the ordinary PID algorithm has not been often used .

为了说明神经网络与不完全微分PID算法相结合的可行性，以及对控制效果可能产生的影响，在第三章中进行了尝试。

In order to illustrate the feasibility of combination between the neural net including the BP-neU neural cell , and the incomplete differential PID algorithm , and the effect to the controlling result , I attempted in the chapter three .

将神经网络理论结合不完全微分PID控制应用于热网均衡供热的控制中，不仅提高了系统的响应速度还保证了控制的精确性。

The temperature of circulating pump and backwater is controlled by neural network and incomplete differential PID control scheme to adjust heat balance of the heat-supply network . It can not only keep the control accuracy but also enhance the response speed .

之后，简要回顾了多年以来PID控制算法的改进，尤其着重介绍了两种不完全微分PID算法，并通过仿真实验指出其控制效果要略优于一般的PID控制。

Then briefly reviewing the modification to the PID algorithm for these years , especially introduces two kinds of the incomplete differential PID algorithm , and points out that its controlling result is superior to the ordinary PID control throught the imitation test .

依据模型，以不完全微分PID控制算法来消除结构谐振的不稳定影响，采用线性功率放大驱动方式，可使控制带宽超过其结构谐振频率，实现高带宽控制。

Relying on the model , the unstable influence of the structure resonance is eliminated with an incomplete differential PID control algorithm . The control bandwidth can surpass its structure resonance frequency and wide bandwidth control can be realized through applying linear power amplifier .

系统采用双速率控制策略和分布式控制方式，机器人运动控制运用粒子群优化算法定时寻优PID参数，使其随着系统参数的变化而实时更新，实现最优不完全微分PID控制。

Twain velocity control strategy and distributed control mode are adopted , the parameters of PID control is optimized by particle swarm optimization algorithm in the motion control of robot , makes it realtime update with change of system 's parameters , implements the optimal PID control with incomplete derivation .

根据该系统的特点和模型，还设计了一种不完全微分PID+干扰观测器的控制方式。

By the characteristics of the system and the model , a control method of uncompleted differential PID + disturbance observer was proposed .