Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/918694
- Title
- Capacitor voltage estimation for predictive control algorithm of flying capacitor converters
- Author/Creator
-
Aguilera, Ricardo P.;
Quevedo, Daniel E.
- Institution
- The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
- Description
- Multilevel converters have emerged as a promising alternative to traditional two level converters, especially flying capacitor converters because of the fact that this topology requires only a main DC-link voltage and presents a easy way to increase the output voltage levels by increasing the number of cells. Unfortunately, a balancing of capacitor voltage is required. Recently, predictive control algorithms have been presented in order to control not only the output current but also to achieve good performance in the balancing of the capacitor voltages. For this purpose, it is necessary to know the state of these voltages generally taking a measurement of them, therefore the number of sensors required will be increased regarding the output voltage levels desired. This paper presents an estimation of the capacitor voltages using a discrete Kalman filter. This algorithm is employed to determinate correctly the system state and thus provides this information to the predictive controller in order to determinate the best switching combination to be applied in the next sample period.
- Relation
- IEEE International Conference on Industrial Technology, 2009 (ICIT 2009). Proceedings of the 2009 IEEE International Conference on Industrial Technology, ICIT 2009 (Churchill, Vic. 10-13 February, 2009)
- Publisher Link
- http://dx.doi.org/10.1109/ICIT.2009.4939741
- Date
- 2009
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Keyword(s)
-
DC link voltages;
capacitor voltage estimations;
discrete Kalman filters;
flying capacitor converters;
multilevel converters;
predictive control algorithms
- Resource Type
- conference paper
- Rights
- Copyright © 2009 IEEE. Reprinted from the Proceedings of the 2009 IEEE International Conference on Industrial Technology, ICIT 2009. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- Identifier
- http://hdl.handle.net/1959.13/918694
- Identifier
- ISBN:97814240435067
- Reviewed
- Full Text
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