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Surface Permanent-Magnet Machine Self-Sensing at Zero and Low Speeds Using Improved Observer for Position, Velocity, and Disturbance Torque Estimation.

Surface Permanent-Magnet Machine Self-Sensing at Zero and Low Speeds Using Improved Observer for Position, Velocity, and Disturbance Torque Estimation.

Authors :
Yang, Shih-Chin
Lorenz, Robert D.
Source :
IEEE Transactions on Industry Applications. Jan2012, Vol. 48 Issue 1, p151-160. 10p.
Publication Year :
2012

Abstract

This paper proposes an improved method for the estimation of position, velocity, and disturbance torque in a surface permanent-magnet (SPM) machine self-sensing (position sensorless) drive that uses high-frequency (HF) voltage injection. SPM machines traditionally do not have enough position-dependent signals because their symmetric rotors result in near-zero spatial saliency. A separate disturbance observer and a saliency-tracking observer with speed-varying bandwidth (BW) tuning are used together to improve the disturbance rejection performance while maintaining the accuracy of self-sensing position and velocity estimation. According to the experimental evaluation, the proposed estimation method can achieve higher BW for the disturbance estimation and decoupling which can increase the stiffness of SPM machine closed-loop self-sensing control. This paper includes experimental comparative evaluation of closed-loop encoder-based versus closed-loop self-sensing-based operation of a SPM machine drive. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00939994
Volume :
48
Issue :
1
Database :
Academic Search Index
Journal :
IEEE Transactions on Industry Applications
Publication Type :
Academic Journal
Accession number :
71538993
Full Text :
https://doi.org/10.1109/TIA.2011.2175472