Studies on the fuzzy PID control method for Networked Control Systems with random delays

2008 ◽  
Author(s):  
Wenjuan Zhang ◽  
Lian-ming Wang ◽  
Yufen Deng ◽  
Hongwei Zhang
Keyword(s):  
Control Systems ◽  
Pid Control ◽  
Control Method ◽  
Networked Control Systems ◽  
Networked Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Random Delays

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.

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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