Paper

Design and Implementation of Position Control System for Brushless DC Motor Based on Fuzzy Adaptive PID Control


Authors:
Dayong Geng; Wenge Ma; Shaocheng Tong
Abstract
In this paper, a kind of fuzzy adaptive proportional-integral-derivative (PID) controller is designed and applied in position control of Brushless DC motor (BLDCM). According to the parameters of the control system, the controller adopts fuzzy adaptive control theory to adjust the PID parameters. So, higher precision position control is achieved. The simulation results show that fuzzy adaptive PID control method has fast response, strong coupling and robustness, and the dynamic and static characteristics are superior to the conventional PID control method. At last, the paper presents an increased performance position control system using the TMS320F243 digital signal processor (DSP) produced by Texas Instruments as microprocessor and BLDCM as executor.
Keywords
BLDCM; Fuzzy Adaptive Proportional-Integral-Derivative (PID) Control; Position Control; Simulation; DSP
StartPage
569
EndPage
575
Doi
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