Brushless DC Motor Speed Control System Based on Fuzzy PID Controller

Author(s):  
Guoqiang Cheng
2013 ◽  
Vol 432 ◽  
pp. 472-477
Author(s):  
Wei Fan ◽  
Tao Chen

This paper presents a robust fuzzy proportional-integral-derivative (PID) controller for brushless DC motor (BLDCM) control system. The hardware circuit of the BLDCM control system is designed and implemented using a digital signal processor (DSP) TMS320LF2407A and a monolithic BLDCM controller MC33035 as the core. Furthermore, a fuzzy PID controller, which combines the advantages of good robustness of fuzzy controller and high precision of conventional PID controller, is employed in the hardware system, thereby yielding a digital, intelligent BLDCM control system. Experimental results have shown that the control system can run steadily and control accurately, and have convincingly demonstrated the usefulness of the proposed fuzzy PID controller in BLDCM control system.


Automatika ◽  
2017 ◽  
Vol 58 (3) ◽  
pp. 321-335 ◽  
Author(s):  
Huang Jigang ◽  
Wang Jie ◽  
Fang Hui

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.


2014 ◽  
Vol 644-650 ◽  
pp. 179-183
Author(s):  
Ya Juan Chen ◽  
Yue Hong Zhang

In this paper, an adaptive fuzzy PID controller based on genetic algorithm is designed. Brushless DC motor uses double closed loop control system. The adaptive fuzzy PID controller based on genetic algorithm is applied to outer ring speed ring, and PI controller is applied to inner ring. The simulation results show that, the designed brushless DC motor control system based on genetic algorithm optimization has a short rise time and no overshoot, small steady-state error and other advantages. And the system has strong robustness and adaptability.


Sign in / Sign up

Export Citation Format

Share Document