Paper
Design and Implementation of Position Control System for Brushless DC Motor Based on Fuzzy Adaptive PID Control
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Authors:
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Dayong Geng; Wenge Ma; Shaocheng Tong
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Abstract
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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.
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Keywords
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BLDCM; Fuzzy Adaptive Proportional-Integral-Derivative (PID) Control; Position Control; Simulation; DSP
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StartPage
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569
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EndPage
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575
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Doi
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