Toggle Main Menu Toggle Search

Open Access padlockePrints

The design of a position-based repetitive control for speed ripple reduction in PMLSMs

Lookup NU author(s): Dr Shafiq OdhanoORCiD

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

© 2017 IEEE. Periodic speed errors can occur in permanent magnet linear synchronous machines for two reasons: 1) a periodic reference signal; 2) cogging force and friction. For reducing such periodic errors, iterative learning control or repetitive control approaches, used in conjunction with more common control actions, can be strongly effective. However, the design of the stability filter, robustness filter and other parameters for a traditional repetitive controller can be a complex task and may need to be adjusted when the frequency of such periodic error varies. Existing solutions tend to develop more adaptive tuning methods for repetitive controller to enhance the whole control system. This paper shows that the performance of a traditional speed loop can be enhanced with a repetitive controller without complicating the tuning of the repetitive controller. Consequently, a position-based repetitive control combined with deadbeat current control method is proposed. Simulation results show that the proposed method is effective for reducing speed ripple at difference frequencies without necessarily adjusting its parameters.


Publication metadata

Author(s): Tang M, Formentini A, Odhano S, Zanchetta P

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017)

Year of Conference: 2017

Pages: 3688-3692

Online publication date: 18/12/2017

Acceptance date: 02/04/2016

Publisher: IEEE

URL: https://doi.org/10.1109/IECON.2017.8216626

DOI: 10.1109/IECON.2017.8216626

Library holdings: Search Newcastle University Library for this item

ISBN: 9781538611272


Share