DocumentCode
3602447
Title
Self-Commissioning of Inverter Dead-Time Compensation by Multiple Linear Regression Based on a Physical Model
Author
Bedetti, Nicola ; Calligaro, Sandro ; Petrella, Roberto
Author_Institution
Gefran S.p.a., Gerenzano, Italy
Volume
51
Issue
5
fYear
2015
Firstpage
3954
Lastpage
3964
Abstract
Dead-time and switch voltage drops represent the most important sources of distortion of the (average) output voltage in pulsewidth modulation inverters. Their effect is a function of the parameters of the drive system and of the operating conditions and is often intolerable in many drives applications, thus requiring a proper compensation strategy. Many techniques are implemented in industrial drives and reported in the literature, even very recently. Differently from standard approaches, the proposed methodology is based on a detailed physical model of the power converter (including output capacitance), described by a small set of parameters. A novel self-commissioning identification procedure is introduced, adopting multiple linear regression. The technique is tested on a commercial drive in comparison with state-of-the-art techniques. In addition, back electromotive force estimation improvements in a permanent-magnet synchronous motor sensorless drive system are shown to provide additional validation of the method.
Keywords
PWM invertors; permanent magnet motors; power convertors; regression analysis; synchronous motor drives; back electromotive force estimation; industrial drives; inverter dead time compensation; multiple linear regression; permanent magnet synchronous motor; physical model; power converter; pulsewidth modulation inverters; self-commissioning identification procedure; sensorless drive system; Capacitance; Delays; Insulated gate bipolar transistors; Inverters; Mathematical model; Phase distortion; Switches; Capacitive effects; dead-time compensation; inverter nonlinearities; multiple linear regression; pulsewidth modulation inverters; self-commissioning;
fLanguage
English
Journal_Title
Industry Applications, IEEE Transactions on
Publisher
ieee
ISSN
0093-9994
Type
jour
DOI
10.1109/TIA.2015.2436882
Filename
7112110
Link To Document