Research on Fuzzy PID Control for Power-Train MR Mount System

2013 ◽  
Vol 397-400 ◽  
pp. 1304-1308
Author(s):  
Dao Yuan Pan ◽  
Xiang Gao ◽  
Chang Gao Xia ◽  
Hao Cai
Keyword(s):  
Pid Control ◽  
Vibration Isolation ◽  
Control Method ◽  
Simulation Analysis ◽  
The Body ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Isolation System ◽  
Power Train ◽  
Fuzzy Pid Controller

In view of automotive power-train magnetorheological (MR) mount system with nonlinearity and uncertainty, which is difficult to control, the fuzzy PID control method was proposed and studied. Based on the analysis of two-degree of freedom vibration isolation system model, the fuzzy PID controller for the control model of MR semi-active mount was designed and its simulation analysis was carried out. The simulation results indicate that MR mount combined with the fuzzy PID control method can effectively reduce the body acceleration and the force transferred to the frame. This research provides a reference for further research and development of MR mount.

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.

Application of Active Mount Engine Vibration Isolation to Fuzzy Control Systems

2013 ◽  
Vol 341-342 ◽  
pp. 1023-1027
Author(s):  
Hui Guo ◽  
Guo Chun Sun ◽  
Min Fan
Keyword(s):  
Control Systems ◽  
Pid Control ◽  
Vibration Isolation ◽  
The Body ◽  
Fuzzy Pid Control ◽  
Power Train ◽  
Engine Vibration ◽  
Control Scheme ◽  
Self Tuning ◽  
Piezoelectric Stack Actuator

An automobile power-train active mount system with a piezoelectric stack actuator is introduced. The influence caused by power-train to the body of the car is analyzed by means of parameter self-tuning fuzzy PID control, on which the simulating results are based. It turns out that this control scheme can restrain the influence better caused by power-train to the body of the car.

Dynamic Performance Experiment and Fuzzy PID Control Method Study on MRF Engine Mount

2012 ◽  
Vol 542-543 ◽  
pp. 675-678
Author(s):  
Suo Jun Hou ◽  
Wen Ku Shi ◽  
Mao Yang ◽  
Hai Sheng Li
Keyword(s):  
Pid Control ◽  
Degrees Of Freedom ◽  
Engine Speed ◽  
Control Method ◽  
Dynamic Performance ◽  
Low Frequency ◽  
The Body ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Engine Mount

A MRF fluid engine mount with controlled annular access, inertia track and decoupler is designed. Through the experiment it can be seen that the low frequency performance of the mount is greatly improved. Then the dynamic low frequency performance of the mount using the fuzzy PID control method of two degrees-of-freedom system in different engine speed is simulated and the results show that the fuzzy PID control method is effective to reduce the body acceleration.

Research on Intelligent Vehicle Steering System via Improved Fuzzy-PID Control Method Based on RSDA

2012 ◽  
Vol 220-223 ◽  
pp. 958-963 ◽  
Author(s):  
Hui Fen Dong ◽  
Feng Li ◽  
Qing Ji Gao ◽  
Bao Lei Dong
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Response Speed ◽  
Steering System ◽  
Intelligent Vehicle ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
System A ◽  
Control Accuracy

In order to improve the control accuracy and response speed of the intelligent vehicle steering system, a DC-motor controlled steering system using an IPC (Industrial personal computer) is designed. The hardware of the system is developed by analyzing the dynamic steering model. A new control method of Fuzzy-PID controller with RSDA (Rough Set Data Analysis) is proposed. Experimental results using the proposed control strategy show better performance and robust properties than the ordinary Fuzzy-PID.

scholarly journals Design and Analysis of a Drive System for a Series Manipulator Based on Orthogonal-Fuzzy PID Control

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 1051 ◽  
Author(s):  
Zhou ◽  
Chen ◽  
Zhou ◽  
Liu
Keyword(s):  
Motion Control ◽  
Pid Control ◽  
Control Method ◽  
Simulation Analysis ◽  
Drive System ◽  
Test Method ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Orthogonal Test Method

Because the proportional–integral–derivative (PID) parameters selected by experience are random, the control effect of fuzzy PID cannot be optimized. In order to improve the accuracy and stability of robot motion control, an orthogonal-fuzzy PID intelligent control method is proposed. In this paper, the electric steering gear is used as the actuator, and the mathematical model of the servo motor joint drive system is established. The simulation analysis of the original control, PID control, fuzzy PID control, and orthogonal-fuzzy PID control of the manipulator joints in the Simulink software simulation environment and the motion control experiment of the manipulator show that using the orthogonal test method to adjust the PID parameters can quickly determine the appropriate PID parameters and greatly reduce the number of trials. The rise time, adjustment time, and overshoot of the system are significantly reduced by using fuzzy PID control, which can improve the adaptability of the system. By comparing and analyzing fuzzy PID and orthogonal-fuzzy PID control methods, it can be found that the system of orthogonal-fuzzy PID for optimal factor level combination (Kp = 0.1, Ki = 30 and Kd = 0.02) is the optimal system. The experiment results show that the orthogonal-fuzzy PID can further improve the accuracy of the system and reduce the oscillation process of the system near the steady state and make the motion more stable.

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.

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