scholarly journals A Hybrid of Fuzzy and Fuzzy Self-Tuning PID Controller for Servo Electro-Hydraulic System

Author(s):  
Kwanchai Sinthipsomboon ◽  
Issaree Hunsacharoonroj ◽  
Josept Khedari ◽  
Watcharin Po-ngaen ◽  
Pornjit Pratumsuw
2013 ◽  
Vol 310 ◽  
pp. 518-523
Author(s):  
Zhi Qiang Chao ◽  
Xin Ze Li ◽  
Ai Hong Meng

In recent years, hydraulic simulation has become an important means to research hydraulic system, in order to enable the single degree platform vibration curve with better traceability and reach the requirement of the test, this paper represent single degree system platform stimulated by simulation software AMESim, taking the Single degree freedom vibration hydraulic system as an example, MATlab/simulink is applied to the design of the vibration platform system fuzzy PID controller. Through the comparison between the simulation test and traditional PID controller, the designed self-tuning fuzzy controller can control the platform better, with smaller overshoot, faster response, shorter adjusting time, as well as fulfill the permissible accuracy.


Author(s):  
Kwanchai Sinthipsomboon ◽  
Issaree Hunsacharoonroj ◽  
Joseph Khedari ◽  
Watcharin Pongaen ◽  
Pornjit Pratumsuwan

2014 ◽  
Vol 614 ◽  
pp. 207-210
Author(s):  
Jin Xia Huang ◽  
Hai Bo Zhou ◽  
Jun Fa Wang ◽  
Yan Hou

According to the operator experiences, the variable rate fertilization system based on the fuzzy self-tuning PID controller is researched in this paper, which is driven by electrically and hydraulic system. This system solves the problem that the parameters adjustment of the traditional PID is difficult. The system model is presented and is simulated by using MATLAB/ SIMULINK toolbox. The simulation results shows that the fuzzy self-tuning PID control could obtain better dynamic response and achieve the expected control effects. In order to verify this control system performance, many experiments are carried on in the lab. The experiments results show that the variable rate fertilization system based on fuzzy self-tuning PID control has high control accuracy and could meet the control requirements of the variable rate fertilization in precision agriculture.


2019 ◽  
Vol 139 (4) ◽  
pp. 356-363
Author(s):  
Yoichiro Ashida ◽  
Shin Wakitani ◽  
Toru Yamamoto

Author(s):  
Shaymaa Mahmood Mahdi ◽  
Karam Samir Khalid ◽  
Shakir Mahmood Mahdi

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