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Titel:

Torque Disturbance Observer Based Model Predictive Control for Electric Drives

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Xuezhu Mei, Xiaoquan Lu, Alireza Davari, Elnaz Alizadeh Jarchlo, Fengxiang Wang, Ralph Kennel
Abstract:
Model predictive control (MPC) based electric drive systems has faster dynamics and can achieve similar performance as field oriented control (FOC) and direct torque control (DTC) based systems though much smaller control frequency is applied. In this work, model inverse deadbeat based MPC is applied, which maintains the fast dynamics of the model forward finite control set MPC (FCS-MPC) and has even simpler structure. However, since it still keeps the outer speed proportional-integral (...     »
Kongress- / Buchtitel:
Proceedings of the 2018 9th Annual Power Electronics, Drives Systems and Technologies Conference (PEDSTC)
Ausrichter der Konferenz:
AmirKabir university of technology (Tehran Polytechnic)
Datum der Konferenz:
February 13-15, 2018
Jahr:
2018
Quartal:
1. Quartal
Jahr / Monat:
2018-02
Monat:
Feb
Reviewed:
ja
Sprache:
en
Semester:
WS 17-18
TUM Einrichtung:
Lehrstuhl für Elektrische Antriebssysteme und Leistungselektronik
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