Development of a crystal oscillator taming module based on PID control algorithm

2021 ◽  
Author(s):  
Ming Yan ◽  
Shengnan Zhang ◽  
Fucheng Yin ◽  
Tianshu Wei ◽  
Nuo Li
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Crystal Oscillator

Automation of Process Control in Chemical Plant

2015 ◽  
Vol 2 (1) ◽  
pp. 6-12
Author(s):  
Agus Sugiarta ◽  
Houtman P. Siregar ◽  
Dedy Loebis
Keyword(s):  
Process Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Chemical Engineering ◽  
Chemical Plant ◽  
Raw Material ◽  
Flow Rates ◽  
Material Supply ◽  
Wide Range ◽  
Inherent Problem

Automation of process control in chemical plant is an inspiring application field of mechatronicengineering. In order to understand the complexity of the automation and its application requireknowledges of chemical engineering, mechatronic and other numerous interconnected studies.The background of this paper is an inherent problem of overheating due to lack of level controlsystem. The objective of this research is to control the dynamic process of desired level more tightlywhich is able to stabilize raw material supply into the chemical plant system.The chemical plant is operated within a wide range of feed compositions and flow rates whichmake the process control become difficult. This research uses modelling for efficiency reason andanalyzes the model by PID control algorithm along with its simulations by using Matlab.

The Research about the Wind Turbines Pitch Control

2013 ◽  
Vol 773 ◽  
pp. 87-90
Author(s):  
Chen Wang ◽  
De Zhou Meng ◽  
Xu Fang Bo
Keyword(s):  
Wind Power ◽  
Pid Control ◽  
Control Algorithm ◽  
Uneven Distribution ◽  
Pitch Control ◽  
Experimental Platform ◽  
Simulation Results ◽  
Pitch System ◽  
Fan Blade ◽  
Variable Pitch Control

Based on the background of wind power, considering the wind blade sweep area on the uneven distribution, this paper is using the PID control algorithm to control the pitch system. At the same time, this paper is using Siemens SCL to programming, simulating on the experimental platform. Simulation results show the validity of the theory and the feasibility of the system, realizing variable pitch control of fan blade.

Robust Control Method Based on Machine Learning for Boiler Combustion System

2014 ◽  
Vol 685 ◽  
pp. 368-372 ◽  
Author(s):  
Hao Zhang ◽  
Ya Jie Zhang ◽  
Yan Gu Zhang
Keyword(s):  
Robust Control ◽  
Intelligent Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Support Vector ◽  
Control Performance ◽  
Fuzzy Pid Control ◽  
On Line ◽  
Control Output

In this study, we presented a boiler combustion robust control method under load changes based on the least squares support vector machine, PID parameters are on-line adjusted and identified by LSSVM, optimum control output is obtained. The simulation result shows control performance of the intelligent control algorithm is superior to traditional control algorithm and fuzzy PID control algorithm, the study provides a new control method for strong non-linear boiler combustion control system.

The research on visual industrial robot which adopts fuzzy PID control algorithm

2017 ◽  
Author(s):  
Yifei Feng ◽  
Guoping Lu ◽  
Lulin Yue ◽  
Weifeng Jiang ◽  
Ye Zhang
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Industrial Robot ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control

scholarly journals Smooth Tracking Trajectory Generation of Large Antenna

2016 ◽  
Vol 53 (1) ◽  
pp. 24-33 ◽  
Author(s):  
S. Upnere ◽  
N. Jekabsons ◽  
U. Locans
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Case Analysis ◽  
Control Algorithms ◽  
Control Methods ◽  
Antenna Feed ◽  
Feed Forward Control ◽  
Order Polynomial ◽  
Smooth Tracking ◽  
Tracking Trajectory

Abstract The current paper presents an engineering approach for studies of the control algorithm designed for a mechanically robust large antenna. Feed-forward control methods with the 3rd-order polynomial tracking algorithm are supplemented to the original feed-back PID control system. Dynamical model of the existing servo system of 32m radio telescope has been developed to widen a case analysis of observation sessions and efficiency of the control algorithms due to limited access to an antenna. Algorithms along with the results from the system implemented on a real antenna as well as model results are presented.

The Improved Design of Test Machine Linear-Velocity Closed-Loop Control Circuit

2013 ◽  
Vol 365-366 ◽  
pp. 874-877
Author(s):  
Chang Hai Li ◽  
Yuan Tao Yu ◽  
Shi Yang Ma ◽  
Yan Chun Liu
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Response Speed ◽  
Test Machine ◽  
Static Error ◽  
Loop Control ◽  
Improved Design ◽  
Value Changes ◽  
The Given ◽  
Control Accuracy

Incremental PID has its shortcomings: great integral truncation effect, static error and spillover affect. In the control system, the controller system is required having a quick response speed, and also a certain anti-interference ability. When adopting the improved differential PID control algorithm, only the output differential is made, instead of the given values. So, when a given value changes, the output will not change, and the controlled quantity change is usually mild, in which case the control accuracy is improved, and the system dynamic characteristics is greatly improved.

scholarly journals Research on Intelligent Control System of Thermal Print Head Based on FPGA

2021 ◽  
Author(s):  
Yang Xu ◽  
Sheng Wang ◽  
Ying Peng
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Print Quality ◽  
Fuzzy Pid ◽  
Single Chip ◽  
Fuzzy Pid Control ◽  
Print Head ◽  
Field Programmable ◽  
Time Required

Thermal print head heating realtime temperature fluctuations are too large, often causing damage to the print head heating point, resulting in poor print quality and unsatisfactory print results. Therefore, in order to improve the stability of the thermal print head during printing, and at the same time solve the inefficiency of the traditional single chip microcomputer control of the thermal print head heating method, a field programmable gate array (FPGA) based thermal print head heating control method is proposed. In order to control the core, the intelligent fuzzy PID control algorithm is used to ensure that the temperature of the print head can be stabilized quickly. Through simulation and experimental verification, it is shown that the intelligent fuzzy PID control algorithm greatly improves the temperature stabilization effect, and the time required to reach stability short, not only improve the printing accuracy, but also extend the life of the print head.

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