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TUTCRIS

Long-horizon direct model predictive control with active balancing of the neutral point potential

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)
KustantajaIEEE
Sivut89 - 94
Sivumäärä6
ISBN (elektroninen)978-1-5386-0507-3
DOI - pysyväislinkit
TilaJulkaistu - syyskuuta 2017
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics -
Kesto: 1 tammikuuta 1900 → …

Conference

ConferenceIEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics
Ajanjakso1/01/00 → …

Tiivistelmä

In this paper we present modifications to the sphere decoder initially introduced in [1] to include the control of the neutral point (NP) potential of a three-level neutral point clamped (NPC) inverter. By linearizing the system model, the nonlinearities introduced by the dynamics of the NP potential are discarded. As a result, the optimization problem underlying direct model predictive control (MPC) can be formulated as an integer least-squares (ILS) one, and solved in a computationally efficient manner with a refined sphere decoding algorithm. As shown, thanks to the utilization of long prediction horizons, the system performance can be significantly improved. This is demonstrated with a variable speed drive consisting of a three-level NPC inverter and a medium-voltage induction machine.

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