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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/36960

Title: Design Methodology and Self-turning Velocity Control for High-speed Slim Sensorless BLDC Motors with Self-Lubricated Bearings
Authors: Hsing-Cheng Yu;Chau-Shin Jang;Wen-Yang Peng
余興政
Contributors: NTOU:Department of Systems Engineering and Naval Architecture
國立臺灣海洋大學:系統工程暨造船學系
Keywords: Adaptive control;Fuzzy logic control;PID control;Radial-flux;Sensorless commutation;Velocity control
Date: 2015-02
Issue Date: 2015-05-20T01:32:49Z
Publisher: Mechanism and Machine Theory
Abstract: This study presents the motor design methodology and adaptive fuzzy self-tuning proportional–integral–derivative (PID) velocity closed-loop control of slim sensorless brushless direct current (BLDC) motors with self-lubricated bearings that operate at a high speed of 14,000 rpm. Moreover, the novel sensorless commutation method includes a mask-based phase shift detector to detect precise optimal commutation points. A prototype of the slim sensorless radial-flux BLDC motor with a self-lubricated bearing for use in the blowers of vacuum cleaners was manufactured and the motor design methodology was verified. The damping interaction caused by the self-lubricating hydrodynamic bearings, shafts, and blades of blowers was also considered, together with a multi-physics analysis. The velocity control experiment used a adaptive fuzzy self-tuning PID control algorithm that has been proven to improve the dynamic performance of the slim sensorless BLDC motors in the blowers of vacuum cleaners. The settling time converged within 1 s, that is, the vacuum cleaners rapidly switched to different speeds, and the control approach exhibited robustness and precision in a steady state.
Relation: (84), pp.134-144
URI: http://ntour.ntou.edu.tw/handle/987654321/36960
Appears in Collections:[系統工程暨造船學系] 期刊論文

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