串级控制

锅炉汽包水位系统的免疫PID&免疫P串级控制

Immune PID-Immune P Cascade Control for Water Level System of Boiler Drum

模糊PID串级控制在磨矿浓度实时监控中的应用

Application of fuzzy PID cascade control on grinding concentration real-time control

基于鲁棒H∞优化高精度导弹舵机串级控制研究

High-precision Electromechanical Actuator Cascade Control Based on Robust H_ ∞ Optimization

从而提出了主环采用PID校正、副环采用P控制的串级控制方法。

Put forwards the method which use PID in main loop and Pin subloop .

deltaV系统中串级控制的实现

The Implementation of the Cascade Control in the Delta V System

制粒湿度模糊自整定PID串级控制

Fuzzy Self-tuning PID Cascade Control for the Granulating Humidity Craft

用于串级控制的模糊自调整PID控制

Fuzzy Self-adjusting PID Control Applied to Cascade Control System

串级控制系统的PID参数自动整定算法

Auto - tuning PID Method for Cascade Control Systems

基于模糊PID串级控制的航迹保持方法

Track-keeping method based on fuzzy self-tuning PID cascade control

基于DSP快速原型的淀粉生产线串级控制系统

Application of Cascade Control System in Starch Production-line Based on Rapid Prototyping of DSP

火电厂主汽温控制系统的免疫PID串级控制

Immune PID Cascade Control of Fresh Steam Temperature Control System in Fossil-fired Power Plant

微反应槽PCR芯片阵列前馈-串级控制系统

Feedforward-Cascade Control System for the Array of Micro-reactor Polymerase Chain Reaction ( PCR ) Chips

DMC－PID串级控制及其应用研究

The research on DMC PID cascade control algorithm and its application

用RBF网络整定的火电厂主汽温PID串级控制系统

PID Cascade Control System of Power Plant Main Steam Temperature with RBF Network Tuning

同时，针对复杂控制系统中应用最为广泛的串级控制系统与前馈控制系统，提出了与其相适应的PID参数自整定策略；

Meanwhile , the auto-tuning strategies focused on cascade and feedforward control systems are put forward as well .

一种利用神经元PID改进DMC控制性能的串级控制算法

A Cascade Control Method Using Neuron PID to Improve Control Capability of DMC

建立了双容水箱系统的数学模型，采用串级控制方案对双容水箱液位系统进行控制，控制算法采用数字PID。

The mathematical model of the double-tank is developed , the cascade control-scheme and digital PID algorithm have been adopted in this system .

结合了2者的优点，仿真结果表明，该串级控制系统在控制品质、鲁棒性等方面明显优于常规PID控制系统。

Simulation results show that the control quality and the robustness of this system apparently are superior to those of the general PID system .

与PID串级控制和单一模型控制的仿真结果对比，证实了本控制策略的有效性。

The effectiveness of this control strategy is being confirmed by a comparison with simulation results of PID cascade control and single model control .

软件采用DMC（动态矩阵控制）－PID串级控制。

The controller uses the method of Dy - namic Matrix Control ( DMC ) - PID cascade control .

控制算法及其参数整定是DCS核心，论文中分别对单回路控制、串级控制、比值控制、选择控制、前馈控制等进行了较为深入的研究。

The control arithmetic and paraments tuning were the core of DCS , some control arithmetic were lucubrated in this paper .

基于Profibus-DP的前馈-串级控制实验设计

Design of Feed Forward-Cascade Control Experiment Based on Profibus-DP

实际使用证明该方案比传统的PID串级控制系统具有更好的品质，取得了较高的经济、社会效益。

The practice shows that the system has better control quality than conventional PID series control system and it has achieved a great economic and society benefit .

基于VB6.0的双容水箱液位串级控制系统设计

Design of Double-capacity Water Tank Liquid Level Cascade Control System Based on VB 6.0

蒸汽压力控制，以蒸汽压力为主控参数的PI串级控制系统。

Steam pressure part uses the PI cascade control system , in which steam pressure is primary control parameter and hearth temperature is subsidiary parameter ;

GPC-PID串级控制及其在DCS中的应用

GPC PID cascade control and its application in DCS

仿真结果表明，Fuzzy-PID复合串级控制系统具有更好控制品质。

The results of the simulation indicate that Fuzzy - PID composite cascade control system will have better qualities .

该虚拟智能设备在实际工程中投入应用，结果表明该控制系统比传统的PI串级控制系统具有更好的品质，控制效果较好。

The application of the intelligent virtual device to the project proves that the control system offers better control quality than conventional PID series control system .

Matlab仿真结果表明，新的串级控制系统对模型的不确定性和外扰均有较强的适应性和鲁棒性，其控制品质远优于常规的串级控制系统。

The Matlab simulation shows that the new serial control system compared with general cascade control has excellent control performance , outstanding adaptability and robustness against model uncertainties and external disturbances .

仿真结果表明，本控制策略比PID串级控制、二维PD型模糊控制和单神经元自适应控制具有更好的控制效果。

The simulation results show that the new control method has better performance than that of the traditional PID control system , fuzzy control system and neuron self-adaptive control system .