scholarly journals Intelligent Pasture Cloud Management System Based on Fuzzy Mathematics PID Control

2018 ◽  
Vol 53 ◽  
pp. 03026
Author(s):  
Jianbo Wu ◽  
Song Chai
Keyword(s):  
Intelligent Control ◽  
Pid Control ◽  
Management System ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Pasture Management ◽  
Control Module ◽  
Management Platform ◽  
Cloud Management ◽  
Cloud Server

In current China, especially in western provinces, pasture management is largely backward and has low level of automation, and intelligent pasture systems are urgently needed to improve efficiency of management process and reduce operating cost. An intelligent pasture cloud management system based on fuzzy PID control algorithm is proposed in this paper, which consists of management platform software, transmission equipment, intelligent control module and information acquisition module. The sensors acquisition environment parameters are uploaded to the cloud server, fuzzy PID control is performed on the cloud server, and the control parameters are delivered to the intelligent control module for reasonable and effective environmental regulation, such as the temperature and humidity of the pasture. Pasture administrators can check pasture status at any time for remote pasture management, and the pasture environment can be automatically and intelligently regulated. After simulation experiments, we prove that our system is effective.

Research on Intelligent Control Technology of PV Grid-Connected Inverter

2014 ◽  
Vol 672-674 ◽  
pp. 135-139 ◽  
Author(s):  
Yun Bo Zhang
Keyword(s):  
Intelligent Control ◽  
Control Strategy ◽  
Pid Control ◽  
Physical Simulation ◽  
Digital Simulation ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Pv System ◽  
Grid Connected Inverter ◽  
Pv Grid

Based on the mathematical model of the three-phase two-stage PV grid inverter, the fuzzy-PID control strategy is applied in the grid connected control of PV system in this paper. The purpose of the intelligent control of photovoltaic grid connected inverter has been achieved. The digital simulation and physical simulation show that the fuzzy-PID control strategy can improve the PV system grid control dynamic process and get the smooth connection of the PV system with the power grid. At the same time, the harmonic pollution on the grid has been significantly reduced.

Design and Research of Air-Compressor Control System Based on Fuzzy PID Control

2011 ◽  
Vol 121-126 ◽  
pp. 773-777 ◽  
Author(s):  
Gong Fa Li ◽  
Si Qiang Xu ◽  
Guo Zhang Jiang ◽  
Po Gao ◽  
Jian Yi Kong ◽  
...  
Keyword(s):  
Control Systems ◽  
Intelligent Control ◽  
Pid Control ◽  
Control Method ◽  
Air Separation ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Air Compressor ◽  
Separation Systems

According to the requirements and characteristics of air compressor control systems in the process of air separation, an intelligent control method based on the fuzzy PID was proposed. Through simulating the designed control method, it is concluded that the control effect was extraordinarily satisfactory. It can offer a certain meaning of guidance and reference for the control of other equipment in air separation systems.

Intelligent Information of TS Fuzzy PID Control System of BLDCM

2013 ◽  
Vol 846-847 ◽  
pp. 313-316 ◽  
Author(s):  
Xiao Yun Zhang
Keyword(s):  
Control System ◽  
Dynamic Model ◽  
Pid Control ◽  
Control Method ◽  
Design Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
Simulation Results ◽  
Intelligent Information

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.

Simulation Analysis of Electro-Pneumatic Proportional Fuzzy-PID Control System Based on AMESim/Simulink

2014 ◽  
Vol 945-949 ◽  
pp. 2568-2572
Author(s):  
Si Yuan Wang ◽  
Guang Sheng Ren ◽  
Pan Nie
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Simulation Analysis ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Proportional Control ◽  
Fuzzy Pid Controller ◽  
Design Requirements ◽  
Set Up

The test rig for hydro-pneumatic converter used in straddle type monorail vehicles was researched, and its electro-pneumatic proportional control system was set up and simulated based on AMESim/Simulink. Compared fuzzy-PID (Proportion Integral Derivative) controller with PID controller through fuzzy logic tool box in Simulink, the results indicate that, this electro-pneumatic proportional control system can meet design requirements better, and fuzzy-PID controller has higher accuracy and stability than PID controller.

The Application of Adaptive Fuzzy PID in the Liquid Level Cascade Control System

2013 ◽  
Vol 846-847 ◽  
pp. 321-324 ◽  
Author(s):  
Le Peng Song ◽  
Hua Bin Wang
Keyword(s):  
Control System ◽  
Pid Control ◽  
Cascade Control ◽  
Liquid Level ◽  
Water Tank ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Adaptive Fuzzy ◽  
Cascade Control System ◽  
Self Adaptive

As liquid level cascade system has the character the issue of non-linearity ,time variability and the overshoot,tradition PID control can not meet the requirement of precise molding system. So devise a self-_ adaptive fuzzy PID control .A self-_ adaptive fuzzy PID control combined PID to control calculate way and faintness to control the advantage of method, this text permits water tank to carry on mathematics model to design the double permit a water tank liquid misty PID string class control system. Matlab/Simulink and fuzzy logic toolbox are simulated to the single loop PID control system,the cascade control system and the cascade control system based on fuzzy self-tuning PID were simulated with Simulink. The analysis and simulation results indicate that the character issue of non-linearity ,time variability and the overshoot of the liquid level cascade control system based on a self-_ adaptive fuzzy PID controller are superior to previous of two methods.

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
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