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Torque Ripple Estimation and Minimisation Independent of Sensor Type

Hill, Damien J., Heins, Greg, De Boer, Friso G. and Saunders, Benjamin (2011). Torque Ripple Estimation and Minimisation Independent of Sensor Type. In: IEMDC11:2011 IEEE International Electric Machines and Drives Conference (IEMDC), Niagara Falls, ON, Canada, 15-18 May 2011.

Document type: Conference Paper

IRMA ID CDU0002xPUB27
Author Hill, Damien J.
Heins, Greg
De Boer, Friso G.
Saunders, Benjamin
Title Torque Ripple Estimation and Minimisation Independent of Sensor Type
Conference Name IEMDC11:2011 IEEE International Electric Machines and Drives Conference (IEMDC)
Conference Location Niagara Falls, ON, Canada
Conference Dates 15-18 May 2011
Conference Publication Title 2011 IEEE International Electric Machines and Drives Conference (IEMDC)
Place of Publication United States of America
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Publication Year 2011
ISBN 978-1-4577-0060-6   (check CDU catalogue open catalogue search in new window)
Start Page 463
End Page 468
Total Pages 6
HERDC Category E1 - Conference Publication (DIISR)
Abstract Torque ripple exists at the output of permanent magnet synchronous motors (PMSMs) as a result of current error, non-sinusoidal back-EMF and cogging torque. Since part of the cogging torque component is based on manufacturing error, motor design may not eliminate all torque ripple. One possible method for reducing torque ripple is by injecting the inverse of a torque ripple estimate to the current controller. Torque estimators that include cogging torque rely on feedback from different sensors such as vibration sensors and accelerometers, microphones, speed and torque sensors. This paper outlines a control method that can utilize any sensor with a linear transfer function between the torque and the sensor input. The method determines an estimate of the torque ripple for a number of harmonics simultaneously, as well as the transfer function between the torque and the sensor. Experimental results show different sensor types provide similar estimates of the torque with less than 2% variation in magnitude for the sensor types used. Experimental results show that regardless of which sensor type is used, critical torque harmonics are reduced by at least a factor of 3.
Additional Notes 10.1109/IEMDC.2011.5994639
Description for Link Link to conference paper
URL http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5994639
 
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