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Titel:

Model Optimization Strategy Based on Moving Horizon Estimation for Induction Motor

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
K. Zuo, F. Wang, K. Luo, L. He, R. Kenne, M. L. Heldwein
Abstract:
Getting a desired model for the controlled objective under a complex environment is worth constant exploration as the upper limit of control performance depends on the used model. This paper presents a generalized model optimization method to strengthen the robustness of drive systems and achieve improved performance. The proposed strategy designs a decoupled feedback structure for rotor flux and stator current, and then limited horizon correction methods are formulated by considering the charac...     »
Zeitschriftentitel:
IEEE Transactions on Energy Conversion
Jahr:
2023
Jahr / Monat:
2023-11
Quartal:
4. Quartal
Monat:
Nov
Heft / Issue:
( Early Access )
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1109/TEC.2023.3334342
WWW:
https://ieeexplore.ieee.org/document/10323195
Verlag / Institution:
IEEE
Print-ISSN:
0885-8969
E-ISSN:
1558-0059
Hinweise:
Funding Agency: National Natural Science Foundation of China (Grant Number: 52277070) China Postdoctoral Science Foundation (Grant Number: 2023M730598) Science and Technology Program of Fujian Province (Grant Number: 2022T3070, 2021I0039 and 2022HZ028010) Science and Technology Program of Fujian Province (Grant Number: 2021T3062 and 2022T3061) Science and Technology Program of Quanzhou City (Grant Number: 2023C001R)
Copyright Informationen:
IEEE
Semester:
WS 23-24
TUM Einrichtung:
Lehrstuhl für Hochleistungs-Umrichtersysteme
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