Design methodology and self-turning velocity control for high-speed slim sensorless brushless direct current motors with self-lubricated bearings. (February 2015)

• Record Type: Journal Article
• Authors: Yu, Hsing-Cheng; Jang, Chau-Shin; Peng, Wen-Yang
• Is Part Of: Mechanism and machine theory. Volume 84(2015:Feb.)
• Page Start: 134
• Page End: 144
• Publication Date: 2015-02
• Subjects: Adaptive control -- Fuzzy logic control -- PID control -- Radial-flux -- Sensorless commutation -- Velocity control; Machine theory -- Periodicals; Machinery -- Periodicals; Machines -- Périodiques; Génie mécanique -- Périodiques; Machine theory; Machinery; Periodicals; 621.81
• DOI: 10.1016/j.mechmachtheory.2014.06.001
• Languages: English
• ISSNs: 0094-114X

Abstract

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. Highlights: We present a motor design methodology for the slim sensorless BLDC motors. A novel sensorless driving method can detect precise optimal commutation points. A prototype has been manufactured and verified the motor design methodology. Adaptive fuzzy self-tuning PID control law can improve the dynamic performance efficiently.