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Position based iterative learning control to minimize torque ripple for PMSMs

Yeo, Kheng C., Heins, Greg and De Boer, Friso G. (2011). Position based iterative learning control to minimize torque ripple for PMSMs. In: IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society, Melbourne, Vic., Australia, 7-10 November 2011.

Document type: Conference Paper

IRMA ID CDU0002xPUB33
Author Yeo, Kheng C.
Heins, Greg
De Boer, Friso G.
Title Position based iterative learning control to minimize torque ripple for PMSMs
Conference Name IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference Location Melbourne, Vic., Australia
Conference Dates 7-10 November 2011
Conference Publication Title IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Place of Publication United States of America
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Publication Year 2011
ISBN 978-1-61284-969-0   (check CDU catalogue open catalogue search in new window)
ISSN 1553-572X   (check CDU catalogue open catalogue search in new window)
Start Page 4727
End Page 4732
Total Pages 6
HERDC Category E1 - Conference Publication (DIISR)
Abstract Torque ripple minimisation is achieved by an adaptive feedforward control for mass produced permanent magnet synchronous motors. Torque ripple, a major problem for such motors can be reduced using appropriate estimation scheme from speed information. The proposed method employs online zero phase filtering which can effectively minimise all torque harmonics at low speed operation. Experimental results validate the proposed scheme reducing the torque ripple factor from 6.87% to 1.28% using the proposed method. The adaptation scheme make use of PD type iterative learning control scheme which has the advantage of fast convergence compared to the more commonly used P type iterative learning control. The PD-ILC scheme is also quite robust to an initial error in the estimation of the parameter J.
Additional Notes 10.1109/IECON.2011.6119995
Description for Link Link to conference paper
URL http://ieeexplore.ieee.org/xpl/articleDetails.jsp?&arnumber=6119995
 
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Created: Fri, 17 Jan 2014, 00:16:32 CST