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.

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.

Design of the Glass Matching-Material System Based on the Fuzzy-PID Control

2011 ◽  
Vol 268-270 ◽  
pp. 2024-2029
Author(s):  
Yan Chang Liu ◽  
Wei Zheng ◽  
Jia Zhang ◽  
Yu Kun Ma
Keyword(s):  
Expert System ◽  
Pid Control ◽  
Control Algorithm ◽  
Material System ◽  
Control Methods ◽  
Control Parameters ◽  
Fuzzy Pid ◽  
Coordination Control ◽  
Fuzzy Pid Control ◽  
Fuzzy Control Algorithm

In order to resolve the problems of low precision and bad real-time of traditional control methods of matching-material system, this paper has proposed the coordination control algorithm. This paper has designed a Glass matching-material system based on the Fuzzy-PID control by using of combining the traditional PID and the Fuzzy control algorithm. The system uses expert system and adjusts automatically the control parameters online learning to realize control of the best combination of precision and speed. The running result of the system has proved the feasibility and validity of the Fuzzy-PID coordination control.

Application of Improved Fuzzy PID Control Algorithm in Heating Furnace

2011 ◽  
Vol 383-390 ◽  
pp. 760-763
Author(s):  
Hong Jun Wang ◽  
De Xiong Li ◽  
Hui Juan Qi ◽  
Li Na Liu
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Gas Flow ◽  
Control Program ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Modeling And Control ◽  
And Control ◽  
Fuzzy Control Algorithm ◽  
Better Than

e furnace of steel plant is a complex controlled object and it has the properties of nonlinear, Time-varying and delay. Its modeling and control are very difficult. The temperature control of the furnace mainly depends on the control of gas flow. Therefore, the study of a reasonable gas flow control program is the key to increase the level of heating control. In this paper, an improved fuzzy PID control algorithm is proposed, in which, PID control algorithm and fuzzy control algorithm are integrated together, and its characteristics are improved according to feature of furnace. This made the algorithm to have good adaptability and Interference capability. The simulation results show that the improved control algorithm is better than traditional algorithm in overcoming the non-liner, delay of the object and the performance is excellent.

Multiple Models Fuzzy PID Controller Design in Air-Condition Temperature Control System

2013 ◽  
Vol 860-863 ◽  
pp. 1616-1619
Author(s):  
Hang Jiang ◽  
Xin Wang ◽  
Yi Hui Zheng ◽  
Li Xue Li ◽  
Yan Liu
Keyword(s):  
Temperature Control ◽  
Pid Control ◽  
Pid Controller ◽  
Controller Design ◽  
Temperature Control System ◽  
Multiple Models ◽  
Multiple Model ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller

This paper deals with the study of air-condition temperature control, which is a complex system of time varying, nonlinear, imprecise model and uncertain work environment. In this paper, a multiple models fuzzy PID controller is designed. Considering the air-condition temperature adjustment system to combat aircraft and the frequently changing external environment the multiple fuzzy PID controllers are estimated according to the temperature changing area. Each time, based on temperature tested, only one fuzzy PID Controller is chosen to improve the control precision. At the end, simulation results show that multiple model fuzzy PID control is superior to the single fuzzy PID control, which effectively improve the transient response of the system, the steady state accuracy and robustness, having good prospects for engineering applications.

Designing a Fuzzy PID Controller for Brushless DC Motor

2012 ◽  
Vol 588-589 ◽  
pp. 1650-1653
Author(s):  
Yu Hao Qian
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Adaptive Fuzzy ◽  
Brushless Dc ◽  
Fuzzy Pid Controller ◽  
Self Adaptive

Based on the mathematical model of the brushless DC motor (BLDCM), a self-adaptive fuzzy PID controller is designed to achieve high-precision speed control of motor by adopting fuzzy control principle, simulation is conducted in MATLAB /SIMULINK, the result shows that the controller can work well with quick response, no overshoot output and high control precision, has strong robustness under the circumstances of various disturbances and parameter variations, whose static and dynamic performance with the self-adaptive fuzzy PID control are both better than conventional PID control.

scholarly journals Design and implementation speed control system of DC Motor based on PID control and matlab simulink

2020 ◽  
Vol 11 (1) ◽  
pp. 127
Author(s):  
Salman Jasim Hammoodi ◽  
Kareem Sayegh Flayyih ◽  
Ahmed Refaat Hamad
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Speed Control ◽  
Dc Motor ◽  
Motor Speed ◽  
Matlab Simulink ◽  
Dc Motors ◽  
Electronic Controller

<span>In this paper, we first write a description of the operation of DC motors taking into account which parameters the speed depends on thereof. The PID (Proportional-Integral-Derivative) controllers are then briefly described, and then applied to the motor speed control already described , that is, as an electronic controller (PID), which is often referred to as a DC motor. The closed loop speed control of a Brush DC motor is developed applying the well-known PID control algorithm. The objective of this work is to designed and simulate a new control system to keep the speed of the DC motor constant before variations of the load (disturbances), automatically depending to the PID controller. The system was designed and implementation by using MATLAB/SIMULINK and  DC motor.</span>

Brushless DC Motor Speed Control System Based on Fuzzy PID Control

2014 ◽  
Vol 989-994 ◽  
pp. 3172-3176
Author(s):  
Yi Hui Zhang ◽  
Le Peng Song
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Method ◽  
Speed Control ◽  
Dc Motor ◽  
Fuzzy Pid ◽  
Motor Speed ◽  
Fuzzy Pid Control ◽  
Brushless Dc ◽  
Speed Control System

Brushless DC mo tor speed control system is a multivariate, strong coupling, non linear, time-varying complex system, but adopting traditional PID control method to carry ou t control is difficult to achieve good control effect A kind of PID controller with fuzzy algorithm setting on-line PID parameters automatically was designed and applied in brush less DC motor speed control system, using the voltage , speed and torque equation of brush less DC motor, according to the parameters of the mo tor, the controler adopts fuzzy theory to adjust the PID parameters, in order to obtain high-precision speed control Results of simulation experiment show that the fuzzy PID control method compared with normal PID control is with better control performance, non overshoot quick velocity response, higher control precision and good rubustness, which is insensitive to the parameter chattering and many disturbances.

Research on the Fuzzy PID Controller Based on PLC Applied in the Cold Pellet Production

2013 ◽  
Vol 284-287 ◽  
pp. 2291-2295
Author(s):  
Man Chen Xiong ◽  
Ling Long Wang ◽  
Yi Heng Jiang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Temperature Control System ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Drying System

Parameter self-setting fuzzy PID control algorithm for control drying temperature is proposed to improve the problem about big fluctuations in temperature and high pellet broken rate of traditional control on Cold pressure ball drying system in this paper, and the controller create intelligence temperature control system through combine fuzzy control and PID control. We establish fuzzy controller, preparation of fuzzy look-up table in PLC and combined with PID control module to realize fuzzy PID control algorithm, through the computer simulation to analyze the fuzzy PID controller control effect.

Study on Control of Brushless DC Motor for Electric Vehicle

2011 ◽  
Vol 305 ◽  
pp. 173-176
Author(s):  
Jian Bo Cao ◽  
Ming Qiang Mao ◽  
Wan Lu Xu ◽  
Jia Ji ◽  
Jia Jiang ◽  
...  
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Tracking Error ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Brushless Dc ◽  
Fuzzy Pid Controller ◽  
State Tracking

To deal with the control problem of brushless DC motor (BLDCM), based on analyzing the work principle of BLDCM, the fuzzy-PID control was studied, and the fuzzy-PID controller of BLDCM was designed. The experimental results show that the fuzzy-PID controller is superior to the PID controller at steady-state tracking error. Additionally, the current and torque undulation of BLDCM were also improved.

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