The Research for Electro-Hydraulic Servo Control System Based on Fuzzy PID

2011 ◽  
Vol 337 ◽  
pp. 209-213
Author(s):  
Bao Quan Jin ◽  
Yan Kun Wang ◽  
Fan Tian
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Uncertain System ◽  
Response Speed ◽  
Fast Response ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
Hydraulic Servo ◽  
High Control

Electric-hydraulic servo system is a nonlinear and uncertain system with time-varying parameters and interference. The fuzzy PID control algorithm is used,which not only keep the flexible characteristic of fuzzy control algorithm but also inherit the traditional PID control algorithm advantages of high control precision. Research shows that fuzzy PID control has the character of fast response speed, rising fast, small lag, small overshoot, anti-interference, do not depend on the accurate model.

scholarly journals A method to solve the problem of low precision of micro stabilized platform caused by frame coupling - Based on Fuzzy PID

2021 ◽  
Vol 284 ◽  
pp. 04008
Author(s):  
Dongwen Yan
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
Position Signal ◽  
High Control ◽  
Stabilized Platform ◽  
Yaw Angle

Aiming at the problem of low control efficiency of small stable platform due to frame coupling, an intelligent control algorithm (fuzzy-PID) combining fuzzy controller with traditional PID is designed. The fuzzy PID controller is added to the position closed loop of the stable platform control system, and the motor position signal is collected and analyzed. Compared with the traditional PID control algorithm, the fuzzy PID control algorithm has the advantages of small overshoot, high control precision and strong anti-interference ability. The simulation test in Simulink environment shows that the overshoot of the system is reduced under the algorithm σ, which can be controlled within 1% and the adjusting time t is controlled within 0.5s, which can realize the stable control of the yaw angle, pitch angle and roll angle of the stabilized platform.

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.

Electronic Tension Control of High-Speed and Active Sending Line Based on Fuzzy PID Control

2011 ◽  
Vol 338 ◽  
pp. 677-684 ◽  
Author(s):  
Jun Pan ◽  
Xiao Yun Wang ◽  
Wen Hua Chen ◽  
Shi Wei Xu ◽  
Hong Bin Shen ◽  
...  
Keyword(s):  
Pid Control ◽  
High Speed ◽  
Control Algorithm ◽  
Small Diameter ◽  
Tension Control ◽  
Fuzzy Pid ◽  
Motor Speed ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
Working Principle

In the case of small diameter( 10000 r/min)winding, high-speed initiative electronic tension control for sending line was designed to solve the problem that the winding motor speed changes at the start and down state and increasing the size of the coil wound level lead to tension fluctuation. The structure, working principle and the factors that affect the tension fluctuation were discussed in detail. The transfer function of this system was deduced, and the Fuzzy PID control algorithm was also introduced to the system. The model of the Fuzzy PID control algorithm and the conventional PID control algorithm were established using MATLAB/SIMULINK tool, The simulation results show that the fuzzy PID control is better than the conventional PID control in improving the dynamic response of the tension controller, furthermore, the control precision and in terms of robustness is showed.

The Controller Design for DC Motor Speed System Based on Improved Fuzzy PID

2012 ◽  
Vol 466-467 ◽  
pp. 1246-1250 ◽  
Author(s):  
Bin Ma ◽  
Qing Bin Meng ◽  
Feng Yu ◽  
Zhong Hua Han ◽  
Chang Tao Wang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Controller Design ◽  
Fast Response ◽  
Dc Motor ◽  
Fuzzy Pid ◽  
Motor Speed ◽  
Fuzzy Pid Control ◽  
Fuzzy Control Algorithm

In this paper, a controller is designed based on improved fuzzy PID to solve the problem that the dc motor performance of speed and dynamic is poor when using the conventional PID controller for the lack of adaptive capacity of the controller parameters. The improved fuzzy control algorithm is used for the tuning of PID controller to get good speed performances, which automatically adjust the parameter of PID controller according to the motor speed. The simulation results show that the improved fuzzy PID control with the advantages of fast response, small overshoot and strong anti-interference capability can effectively improve the dynamic characteristics and steady state accuracy.

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.

Study on the Simulating for Temperature Control System of the First Station of Heat Exchanger for Heating Network Based on Fuzzy PID of Double S7-200PLC

2012 ◽  
Vol 580 ◽  
pp. 338-341
Author(s):  
Zhuang Ma ◽  
Hao Miao Zhou ◽  
Yi Yang Zhang
Keyword(s):  
Control System ◽  
Heat Exchanger ◽  
Control Algorithm ◽  
Temperature Control System ◽  
Outlet Temperature ◽  
Fuzzy Pid ◽  
Matlab Simulation ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
High Control

This paper takes the first station of heat exchanger for heating network as an example. Because of the properties of nonlinear, large inertia, pure time – delay, it is controlled by the master slave control system based on double S7-200PLC. The accurate control of the outlet temperature of heat exchanger was realized by fuzzy PID control algorithm. The MATLAB simulation results show that the system has high control precision that it can be satisfied with the demands.

Application Research of CMAC-PID Control in Photovoltaic Tracking System

2011 ◽  
Vol 383-390 ◽  
pp. 687-691
Author(s):  
Jun Ming Xiao ◽  
Ling Yun Jiao ◽  
Hai Ming Zhu ◽  
Fan Kai Xiao
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Tracking System ◽  
Basic Structure ◽  
Fast Response ◽  
Optical Tracking ◽  
Solar Panels ◽  
Fuzzy Pid Control ◽  
Automatic Tracking ◽  
High Control

In order to improve the generated energy of PV array and adding the utilization ration of solar energy, the photovoltaic tracking system adapts electro-optical tracking techniques which making the solar panels always perpendicular to sunlight. This paper mainly introduces the basic structure of photovoltaic automatic tracking system and the control strategy of the stepper motor. The theories of cerebellum model articulation controller and conventional PID control are also described. And combined with the characteristics of PID control, the compound control based on the cerebellum model articulation controller and conventional PID was applied to photovoltaic automatic tracking system and compared with fuzzy PID control algorithm. The simulation result shows that the cerebellum model articulation controller and conventional PID parallel control algorithm has the advantage of small overshoot, high robustness, fast response, high control accuracy, and so on.

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.

The research on visual industrial robot which adopts fuzzy PID control algorithm

2017 ◽  
Author(s):  
Yifei Feng ◽  
Guoping Lu ◽  
Lulin Yue ◽  
Weifeng Jiang ◽  
Ye Zhang
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Industrial Robot ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control
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