Fuzzy PID Control of Materials Testing Machine Electrical Hydraulic Servo System

2013 ◽  
Vol 765-767 ◽  
pp. 1873-1876
Author(s):  
Xiu Juan Liu ◽  
Yan Chun Liu ◽  
Yue Ming Yang ◽  
Kai Zhao ◽  
Yi Zhu
Keyword(s):  
Pid Control ◽  
Testing Machine ◽  
Servo System ◽  
Good Effect ◽  
Materials Testing ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Load Disturbance ◽  
Hydraulic Servo ◽  
Hydraulic Servo System

Material experiment system of hydraulic servo system is subject to load disturbance and load disturbance is a function of standard mechanical parameters of rock samples. Rock mass is very discrete, anisotropy, composition is not single and inelastic[. Traditional tester can't get the complete stress-strain curve of rock[ material, in order to solve the shortage of the traditional hydraulic servo system, in this paper, the fuzzy PID control is successfully applied to the hydraulic servo system, through the experiments and get good effect.

Modeling and Simulation Research of NC Machine Servo System Based on Fuzzy PID Control

2012 ◽  
Vol 214 ◽  
pp. 924-928
Author(s):  
Mao Yao Ao
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Servo System ◽  
Response Speed ◽  
Quick Response ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Simulation Research ◽  
Fuzzy Pid Controller ◽  
Nc Machine

Traditional PID control has not been able to meet the control requirements. This paper has designed one type of Fuzzy PID controller to use in NC Machine Servo System. Simulate the response of Fuzzy PID controller and traditional PID controller by Simulink in MATLAB. The simulation results indicated that the Fuzzy PID controller had quick response speed, strong robustness, high precision and non-overshoot etc. It improved the whole control performance of NC Machine Servo System.

The Development of ESP Control System Based on the Fuzzy-PID Control Strategy

2011 ◽  
Vol 130-134 ◽  
pp. 1907-1910
Author(s):  
Liang Mo Wang ◽  
Li Hua An ◽  
Li Tan ◽  
Zhi Lin Wu ◽  
Li Li
Keyword(s):  
Control System ◽  
Pid Control ◽  
Good Effect ◽  
Joint Control ◽  
Longitudinal Motion ◽  
Control Analysis ◽  
Lane Change ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Matlab Simulink

In this paper, the author primarily established the vehicle dynamics model with seven degrees of freedom by MATLAB / Simulink, which could reflect the longitudinal motion, lateral motion and yaw of the vehicle. Under the environment of MATLAB/Simulink, the Fuzzy PID control system based on yaw and sideslip angle is integrated to the 7-DOF vehicle model. With this model, two kinds of emergency double lane change steering condition of the joint control analysis are carried out to check the effects of the control system on the emergency lane change, passing, avoiding obstacles. The results showed that the vehicle stability control system designed can improve vehicle handling and stability, assisting the driver to adapt to various roads and driving conditions, achieve a good effect on the active control, and greatly improve the driving safety.

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