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

Tang, Mi; Formentini, Andrea; Odhano, Shafiq A.; Zanchetta, Pericle

Abstract

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.

Citation

Tang, M., Formentini, A., Odhano, S. A., & Zanchetta, P. (2017). The design of a position-based repetitive control for speed ripple reduction in PMLSMs. . https://doi.org/10.1109/IECON.2017.8216626

• Conference Name: IECON 2017 43rd Annual Conference of the IEEE Industrial Electronics Society
• End Date: Nov 1, 2017
• Acceptance Date: Jul 15, 2017
• Publication Date: Dec 18, 2017
• Deposit Date: Mar 21, 2018
• Publicly Available Date: Mar 21, 2018
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1109/IECON.2017.8216626
• Keywords: repetitive control, deadbeat control, speed ripple; reduction, permanent magnet linear synchronous machine
• Public URL: https://nottingham-repository.worktribe.com/output/900523
• Publisher URL: http://ieeexplore.ieee.org/abstract/document/8216626/
• Related Public URLs: http://iecon2017.csp.escience.cn/dct/page/1
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