
Proceedings Paper
A new method for speed estimation of magnetically suspended flywheel in low speed regionFormat | Member Price | Non-Member Price |
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Paper Abstract
It is very important to accurately detect rotor position and speed in brushless direct current motor (BLDCM). Aiming at
BLDCM which drives the magnetic suspended reaction flywheel (MSRFW), a novel scheme to estimate the low speed
of the BLDCM based on Hall sensors and Kalmam fliter is presented. The average speed over the previous sector is
achieved according to the outputs of the three hall sensors, then rotor position of the next sector is computed at the
sampling time. The electrical angle calculated can be used to estimate the transient speed with Kalman filter equation.
Simulation and experiment show that the proposed method is valid.
Paper Details
Date Published: 13 October 2008
PDF: 8 pages
Proc. SPIE 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration, 71292K (13 October 2008); doi: 10.1117/12.807726
Published in SPIE Proceedings Vol. 7129:
Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration
Jiancheng Fang; Zhongyu Wang, Editor(s)
PDF: 8 pages
Proc. SPIE 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration, 71292K (13 October 2008); doi: 10.1117/12.807726
Show Author Affiliations
Gang Liu, Beijing Univ. of Aeronautics and Astronautics (China)
Jianzhang Liu, Beijing Univ. of Aeronautics and Astronautics (China)
Jianzhang Liu, Beijing Univ. of Aeronautics and Astronautics (China)
Jianke Li, Beijing Univ. of Aeronautics and Astronautics (China)
Published in SPIE Proceedings Vol. 7129:
Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration
Jiancheng Fang; Zhongyu Wang, Editor(s)
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