A Dual Reference Frame Multistep Direct Model Predictive Current Control with a Disturbance Observer for SPMSM Drives

Xinyue Li, Qifan Yang, Wei Tian, Petros Karamanakos, Ralph Kennel

Tutkimustuotos: ArticleScientificvertaisarvioitu

6 Lataukset (Pure)

Abstrakti

The parameter mismatch problem has a great impact on the control performance of model predictive control, which is however unavoidable during the operation. In order to improve the system robustness against the parameter mismatches and disturbances, an improved direct model predictive current control with a disturbance observer is proposed in this paper, where the disturbance observer is realized by an incremental moving horizon estimator. Moreover, another concern raised from the applications of direct model predictive current control is the computational burden, especially for the long-horizon implementations. Therefore, a dual reference frame solution for the surface permanent magnet synchronous motor (SPMSM) is proposed in this paper to allocate a great proportion of heavy computations required for the optimization problem to the offline preparation, which can reduce the computational burden by almost <formula><tex>$50\%$</tex></formula> on average for a prediction horizon of five time steps. Besides, the parameter mismatch effects of individual electrical parameters on the control performance of the model predictive direct current control method are investigated and quantified via simulations. A five-step direct model predictive current control is implemented on a dSPACE system with a sampling frequency of <formula><tex>$\SI{20}{\kilo\hertz}$</tex></formula> to validate the effectiveness of the proposed scheme with a SPMSM drive system.

AlkuperäiskieliEnglanti
Sivut2857-2869
JulkaisuIEEE Transactions on Power Electronics
Vuosikerta37
Numero3
Varhainen verkossa julkaisun päivämäärä2021
DOI - pysyväislinkit
TilaJulkaistu - 2022
OKM-julkaisutyyppiA1 Alkuperäisartikkeli

Julkaisufoorumi-taso

  • Jufo-taso 3

!!ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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