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

Chowdhury, Shajjad and Wheeler, Patrick W. and Gerada, C. and Patel, Chintan (2016) Model predictive control for a dual active bridge inverter with a floating bridge. IEEE Transactions on Industrial Electronics, 63 (9). 5558 -5568. ISSN 0278-0046

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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.

Item Type: Article
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
Keywords: Dual inverter, model Predictive control, open end winding induction motor, floating bridge
Schools/Departments: University of Nottingham UK Campus > Faculty of Engineering > Department of Electrical and Electronic Engineering
Identification Number: https://doi.org/10.1109/TIE.2016.2564949
Depositing User: Burns, Rebecca
Date Deposited: 12 Aug 2016 15:15
Last Modified: 20 Oct 2016 05:15
URI: http://eprints.nottingham.ac.uk/id/eprint/35837

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