scholarly journals IMPLEMENTATION OF SELF-TUNING FUZZY PID CONTROL APPLIED ON BRUSHLESS DC MOTOR

2016 ◽  
Vol 11 (41) ◽  
pp. 1311-1320
Author(s):  
Aml Eid ◽  
Mohamed Shamseldin ◽  
R Darwish ◽  
W Refaey ◽  
A Abdel Ghany
2012 ◽  
Vol 588-589 ◽  
pp. 1650-1653
Author(s):  
Yu Hao Qian

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.


2011 ◽  
Vol 305 ◽  
pp. 173-176
Author(s):  
Jian Bo Cao ◽  
Ming Qiang Mao ◽  
Wan Lu Xu ◽  
Jia Ji ◽  
Jia Jiang ◽  
...  

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.


2014 ◽  
Vol 989-994 ◽  
pp. 3172-3176
Author(s):  
Yi Hui Zhang ◽  
Le Peng Song

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.


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