Comparisons of FCS-MPC schemes and conventional PI-based methods for electrical drive systems

Haotian Xie, Ralph Kennel, Fengxiang Wang, Marcelo Lobo Heldwein, Jose Rodriguez

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

2 Zitate (Scopus)

Abstract

Model predictive control (MPC) has gained increasingly popularities in the field of power electronics and electrical drive systems. In MPC, the control objectives are evaluated in the cost function within a certain number of prediction horizon. Compared with conventional PI-based methods, MPC shows the merits of simple concept, straightforward implementation, fast dynamic response, flexible inclusion of constraints and ability to handle multi-objective nonlinear system. Finite control set MPC (FCS-MPC) is one of the common-used MPC schemes. In this work, the comparisons of FCS-MPC schemes and the conventional PI-based method, e.g., direct torque control (DTC) and fiel-doriented control (FOC) are carried out. It is validated that FCS-MPC methods achieves a better control performance at both the steady state and transient state.

OriginalspracheEnglisch
Titel2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9798350396867
DOIs
PublikationsstatusVeröffentlicht - 2023
Veranstaltung2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 - Wuhan, China
Dauer: 16 Juni 202319 Juni 2023

Publikationsreihe

Name2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023

Konferenz

Konferenz2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023
Land/GebietChina
OrtWuhan
Zeitraum16/06/2319/06/23

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