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Model predictive Direct Flux Vector Control of multi three-phase induction motor drives

Rubino, S.; Bojoi, R.; Odhano, S.A.; Zanchetta, Pericle

Authors

S. Rubino

R. Bojoi

S.A. Odhano



Abstract

A model predictive control scheme for multiphase induction machines, configured as multi three-phase structures, is proposed in this paper. The predictive algorithm uses a Direct Flux Vector Control scheme based on a multi three-phase approach, where each three-phase winding set is independently controlled. In this way, the fault tolerant behavior of the drive system is improved. The proposed solution has been tested with a multi-modular power converter feeding a six-phase asymmetrical induction machine (10kW, 6000 rpm). Complete details about the predictive control scheme and adopted flux observer are included. The experimental validation in both generation and motoring mode is reported, including post open-winding fault operations. The experimental results demonstrate the feasibility of the proposed drive solution.

Citation

Rubino, S., Bojoi, R., Odhano, S., & Zanchetta, P. (2017). Model predictive Direct Flux Vector Control of multi three-phase induction motor drives. In Proceedings of the 2017 IEEE Energy Conversion Congress and Exposition (ECCE), Cincinnati, Ohio, USA, 1-5 October 2017. https://doi.org/10.1109/ECCE.2017.8096644

Conference Name 2017 IEEE Energy Conversion Congress and Exposition (ECCE)
Start Date Oct 1, 2017
End Date Oct 5, 2017
Acceptance Date May 1, 2017
Online Publication Date Nov 7, 2017
Publication Date Oct 1, 2017
Deposit Date Mar 16, 2018
Publicly Available Date Mar 16, 2018
Peer Reviewed Peer Reviewed
Book Title Proceedings of the 2017 IEEE Energy Conversion Congress and Exposition (ECCE), Cincinnati, Ohio, USA, 1-5 October 2017
DOI https://doi.org/10.1109/ECCE.2017.8096644
Keywords multiphase induction machines; multiphase drives;model predictive control; fault-tolerance; direct flux vector control
Public URL http://eprints.nottingham.ac.uk/id/eprint/50466
Publisher URL http://ieeexplore.ieee.org/document/8096644/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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