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.

Fuzzy PID Control and Simulation of Wind Power Generation Yaw System

2014 ◽  
Vol 953-954 ◽  
pp. 353-356 ◽  
Author(s):  
Fan Yang ◽  
Tong Yang ◽  
Xiao Hong Yang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Time Performance ◽  
System A ◽  
Self Tuning ◽  
Simulation Results ◽  
The Stability

Aimed at the high inertia and non-linear characteristics of yaw system, a parameter self –tuning fuzzy PID controller is designed. The controller can adjust the PID parameters based on the wind direction variation, and make the turbines track the coming wind timely to obtain maximum power output. Simulation results show that the controller has good real-time performance and robustness compared with the traditional PID control. It can lower the fluctuation and overshoot, and improve the stability of the yaw system significantly.

Variable Universe Fuzzy PID Control for Minimally Invasive Operation Robotic Catheter System

2014 ◽  
Vol 618 ◽  
pp. 470-474
Author(s):  
Jing Bo Shi
Keyword(s):  
Minimally Invasive ◽  
Pid Control ◽  
Control Method ◽  
Response Speed ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fast Tracking ◽  
Variable Universe ◽  
Control Precision ◽  
Minimally Invasive Operation

Robotic catheter minimally invasive operation requires control system of quick response, strong anti-jamming and real-time tracking of target trajectory. The contradiction between fuzzy PID control precision and its response speed limits its application in master-slave minimally invasive operation. The paper adopted variable universe fuzzy PID method to improve fuzzy PID method’s control precision without reducing the speed of response. The simulation results show that variable universe fuzzy PID control method has fast tracking performance and strong robustness, and it has feasibility and practicability in robotic catheter minimally invasive operation.

Missile Autopilot Design Based on Fuzzy Self-Tuning Immune PID Control

2013 ◽  
Vol 739 ◽  
pp. 550-554 ◽  
Author(s):  
Xu Sheng Gan ◽  
Xue Qin Tang ◽  
Jian Guo Gao
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Variable Parameter ◽  
Feedback Mechanism ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
System A ◽  
Self Tuning ◽  
Better Than

A design of the fuzzy self-tuning immune PID controller is proposed. The controller, which combines immune feedback mechanism and fuzzy PID control, executes the self-tuning of PID parameters in the control system. A simulation experiment is presented in light of a tactical missile autopilot transfer function. Simulation result shows that the performance of fuzzy self-tuning immune PID controller is better than that of fuzzy PID controller, especially in its robust performance for variable parameter system.

Intelligent Car Direction Control Based on Fuzzy PID

2012 ◽  
Vol 466-467 ◽  
pp. 1320-1324 ◽  
Author(s):  
Guo Liang ◽  
Hong Li Gao ◽  
Xiao Cheng Zhang
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Response Speed ◽  
Control Model ◽  
Intelligent Vehicle ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Pid Algorithm ◽  
Direction Control ◽  
Control Response

Direction control is the decisive factors in intelligent car race. This paper used OV7620-CMOS as sensor, with steering gear as direction ac-tuators. Put forward intelligent car direction control model based on fuzzy PID algorithm. Experimental results show that fuzzy PID control algorithm is to improve the operation of the intelligent vehicle direction control response speed and the accuracy is very effective.

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.

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 Research on Fuzzy PID Control for Transmission Shaft Rolling Control System

2014 ◽  
Vol 543-547 ◽  
pp. 1355-1359
Author(s):  
Jin Ying Meng ◽  
Xi Bin Wang ◽  
Zhi Qiang Liang ◽  
Jia Jie Pei ◽  
Tian Feng Zhou
Keyword(s):  
Control System ◽  
Pid Control ◽  
Dynamic Performance ◽  
Response Speed ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Simulation Research ◽  
Nonlinear Properties ◽  
Fuzzy Pid Controller ◽  
Transmission Shaft

The transmission shaft rolling control system is characterized by time-varying and nonlinear properties. To improve the system's dynamic performance and of anti-interference ability, fuzzy PID control is proposed to apply to transmission shaft rolling control system. The mathematical model of the control system is built and a fuzzy PID controller is designed based on the fuzzy control theory. By using MATLAB/Simulink tool for comparison, the simulation results show that the fuzzy PID control compared with the conventional PID control, has improved the system's dynamic response speed by 0.04s. By amplitude 1 interference effect, the system's maximum overshoot is reduced by 3.4%.

The Simulation of Adaptive Fuzzy PID Control System on the New Test Power Source System of Small Locomotive

2011 ◽  
Vol 103 ◽  
pp. 240-245
Author(s):  
Zheng Mei Cheng ◽  
Xiao Ding Guo ◽  
Xiao Ke Chen ◽  
Jing Xin Deng
Keyword(s):  
Pid Control ◽  
Response Speed ◽  
Power Source ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Test Power ◽  
Adaptive Fuzzy ◽  
Fuzzy Pid Controller ◽  
Adaptive Fuzzy Pid Control

The voltage stability of test power source system about small locomotive is poor, and the response speed is slow. The theory of adaptive fuzzy PID control used in the small locomotive test power source system was proposed. The design of adaptive fuzzy PID controller and the effect of simulation were detail described. The control effect of adaptive fuzzy PID control and the traditional PID control is compared. The application value of adaptive fuzzy PID control on small locomotive test power source system has been proved.

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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