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Model predictive control for a dual active bridge inverter with a floating bridge

Chowdhury, Shajjad; Wheeler, Patrick; Gerada, C.; Patel, Chintan

Authors

Shajjad Chowdhury eexsc12@nottingham.ac.uk

Chintan Patel ezzcp@exmail.nottingham.ac.uk



Abstract

This paper presents a Model Predictive Control technique applied to a dual active bridge inverter where one of the bridges is floating. The proposed floating bridge topology eliminates the need for isolation transformer in a dual inverter system and therefore reduces the size, weight and losses in the system. To achieve multilevel output voltage waveforms the floating inverter DC link capacitor is charged to the half of the main DC link voltage. A finite-set Model Predictive Control technique is used to control the load current of the converter as well as the floating capacitor voltage. Model predictive control does not require any switching sequence design or complex switching time calculations as used for SVM, thus the technique has some advantages in this application. A detailed analysis of the converter as well as the predictive control strategy is given in this paper. Simulation and experimental results to validate the approach are also presented.

Citation

Chowdhury, S., Wheeler, P., Gerada, C., & Patel, C. (2016). Model predictive control for a dual active bridge inverter with a floating bridge. IEEE Transactions on Industrial Electronics, 63(9), https://doi.org/10.1109/TIE.2016.2564949

Journal Article Type Article
Acceptance Date Apr 12, 2016
Online Publication Date May 9, 2016
Publication Date Sep 1, 2016
Deposit Date Aug 12, 2016
Publicly Available Date Aug 12, 2016
Journal IEEE Transactions on Industrial Electronics
Print ISSN 0278-0046
Electronic ISSN 0278-0046
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 63
Issue 9
DOI https://doi.org/10.1109/TIE.2016.2564949
Keywords Dual inverter, model Predictive control, open end winding induction motor, floating bridge
Public URL http://eprints.nottingham.ac.uk/id/eprint/35837
Publisher URL http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7466846
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works

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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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