A Direct Model Predictive Control Strategy with Optimized Sampling Interval

Qifan Yang, Petros Karamanakos, Tobias Geyer, Ralph Kennel

Tutkimustuotos: Conference contributionScientificvertaisarvioitu

Abstrakti

In this paper we present a direct model predictive control (MPC) scheme with time-varying sampling intervals. These sampling intervals are computed based on modulation (half-)cycles, which are obtained offline and stored in a look-up table. By utilizing the optimized modulation (half-)cycles and combining control and modulation in one computational stage, the proposed direct MPC scheme achieves lower current total harmonic distortion (THD) than conventional linear controllers with a dedicated modulator, and fast transient responses that characterize direct control methods. The effectiveness of the proposed control scheme is verified on a variable speed drive system consisting of a two-level voltage source inverter and an induction machine.

AlkuperäiskieliEnglanti
Otsikko6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
KustantajaIEEE
Sivut268-274
Sivumäärä7
ISBN (elektroninen)9781665425575
DOI - pysyväislinkit
TilaJulkaistu - 2022
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE International Conference on Predictive Control of Electrical Drives and Power Electronics - Jinan, Kiina
Kesto: 20 marrask. 202122 marrask. 2021

Julkaisusarja

NimiIEEE International Conference on Predictive Control of Electrical Drives and Power Electronics

Conference

ConferenceIEEE International Conference on Predictive Control of Electrical Drives and Power Electronics
Maa/AlueKiina
KaupunkiJinan
Ajanjakso20/11/2122/11/21

Julkaisufoorumi-taso

  • Jufo-taso 1

!!ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Energy Engineering and Power Technology
  • Control and Systems Engineering

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