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Title:

Accurate Self-identification of Inverter Nonlinear Effects in AC Drives

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Wiedemann, S.; Kennel, R.
Abstract:
This paper presents novel self-identification methods which characterise accurately the nonlinear voltage distortions of a voltage source inverter without additional test equipment. The proposed methods are compared with a conventionally used identification method. The results have shown an improved measurement accuracy over the conventional method which makes it together with its simplicity particularly suitable for high performance industrial applications.
Book / Congress title:
Proceedings of PCIM Europe 2018
Date of congress:
5 – 7 June 2018
Year:
2018
Quarter:
2. Quartal
Year / month:
2018-06
Month:
Jun
Reviewed:
ja
Language:
en
Semester:
SS 18
TUM Institution:
Lehrstuhl für Elektrische Antriebssysteme und Leistungselektronik
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