DocumentCode
2032751
Title
A novel SVM algorithm for multilevel three-phase converters
Author
Peng, Dengming ; Lee, Fred C. ; Boroyevich, Dushan
Author_Institution
Bradley Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Volume
2
fYear
2002
fDate
2002
Firstpage
509
Abstract
Space vector modulation (SVM) is widely used in three-phase converters. The goal of an SVM algorithm is to find the appropriate switching combinations and their duty ratios according to certain modulation scheme. This paper presents a new, novel SVM algorithm that is very fast and very simple to implement. It is developed from the basis of vector synthesis and applicable to all three-phase converters with any number of levels. With this algorithm, switching vectors needed to synthesize the reference vector can be easily identified and their duty ratios be obtained straightforwardly without complicated sector identification and duty cycle calculations that would normally involve trigonometric function calculations or look-up tables as with conventional SVM algorithms. All the benefits of this algorithm are gained from choosing an appropriate coordinate system. This paper first gives the derivation of the algorithm and the steps of implementation. Simulation and experimental results are then presented to verify the effectiveness of the algorithm.
Keywords
PWM power convertors; switching; switching circuits; SVM algorithm; duty cycle calculations; look-up tables; multilevel three-phase power converters; sector identification; space vector modulation; switching combinations; trigonometric function calculations; vector synthesis; Electromagnetic interference; Gold; Harmonic distortion; Power electronics; Power quality; Pulse width modulation; Signal processing algorithms; Support vector machines; Topology; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics Specialists Conference, 2002. pesc 02. 2002 IEEE 33rd Annual
Print_ISBN
0-7803-7262-X
Type
conf
DOI
10.1109/PSEC.2002.1022504
Filename
1022504
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