CROSS-COUPLING SYNCHRONOUS CONTROL OF DOUBLE BRUSHLESS DC MOTOR BASED ON VARIABLE DOMAIN FUZZY PID

2021 ◽  
Vol 49 (1) ◽  
Author(s):  
Daode Zhang ◽  
Chuanyou Sun ◽  
Xinyu Hu ◽  
Jie Zhang
Keyword(s):  
Cross Coupling ◽  
Dc Motor ◽  
Variable Domain ◽  
Brushless Dc Motor ◽  
Fuzzy Pid ◽  
Synchronous Control ◽  
Brushless Dc

Design and Implementation of Fuzzy PID Controller for Brushless DC Motor Control System

2013 ◽  
Vol 432 ◽  
pp. 472-477
Author(s):  
Wei Fan ◽  
Tao Chen
Keyword(s):  
Control System ◽  
Digital Signal Processor ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Digital Signal ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Fuzzy Pid ◽  
Brushless Dc ◽  
Fuzzy Pid Controller

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.

The Brushless DC Motor Adaptive Fuzzy PID Servo Controller Design

2012 ◽  
Vol 246-247 ◽  
pp. 838-841
Author(s):  
Gong She Shi ◽  
Lei Huang ◽  
Wei Hu
Keyword(s):  
Pid Controller ◽  
Control Object ◽  
Parameter Tuning ◽  
Dc Motor ◽  
Servo Control ◽  
Brushless Dc Motor ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Adaptive Fuzzy ◽  
Brushless Dc

The brushless DC motor (BLDCM) non-linear and the complexity of the working conditions are likely to cause the conventional PID servo control performance is not satisfactory. In order to improve the performance of the BLDCM servo control system and PID parameter tuning efficiency, this paper designs an adaptive fuzzy PID controller. Fuzzy logic PID controller parameters Kp, Ki, Kd are adjusted online real time to achieve the effect of optimal control, the BLDCM speed is as to the control object, and in the Matlab of Simulink toolbox simulation is used to achieve speed closed loop of BLDCM. According to comparative analysis of the conventional PID and adaptive fuzzy PID of Dynamic response curve, adaptive Fuzzy PID quick start for brushless DC motors, anti-disturbance has better control effect.

Sign in / Sign up

Export Citation Format

Share Document