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Modulated model predictive control for a 7-level cascaded h-bridge back-to-back converter

Tarisciotti, Luca; Zanchetta, Pericle; Watson, Alan James; Bifaretti, Stefano; Clare, Jon C.


Luca Tarisciotti

Pericle Zanchetta

Alan James Watson

Stefano Bifaretti

Jon C. Clare


Multilevel Converters are known to have many advantages for electricity network applications. In particular Cascaded H-Bridge Converters are attractive because of their inherent modularity and scalability. Predictive control for power converters is advantageous as a result of its applicability to discrete system and fast response. In this paper a novel control technique, named Modulated Model Predictive Control, is introduced with the aim to increase the performance of Model Predictive Control. The proposed controller address a modulation scheme as part of the minimization process. The proposed control technique is described in detail, validated through simulation and experimental testing and compared with Dead-Beat and traditional Model Predictive Control. The results show the increased performance of the Modulated Model Predictive Control with respect to the classic Finite Control Set Model Predictive Control, in terms ofcurrent waveform THD. Moreover the proposed controller allows a multi-objective control, with respect to Dead-Beat Control that does not present this capability.

Journal Article Type Article
Publication Date Jan 14, 2014
Journal IEEE Transactions on Industrial Electronics
Print ISSN 0278-0046
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 61
Issue 10
Institution Citation Tarisciotti, L., Zanchetta, P., Watson, A. J., Bifaretti, S., & Clare, J. C. (2014). Modulated model predictive control for a 7-level cascaded h-bridge back-to-back converter. IEEE Transactions on Industrial Electronics, 61(10), doi:10.1109/TIE.2014.2300056
Keywords Multilevel Converters; Predictive Control; Smart Grid
Publisher URL
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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AM - Accepted Manuscript

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