Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

Research on Ladder Wave - specific Harmonic Elimination Technology for Cascade H - bridge Converter

Authors
Suting Gao
Corresponding Author
Suting Gao
Available Online May 2017.
DOI
10.2991/msmee-17.2017.113How to use a DOI?
Keywords
least square method, Gauss - Newton method, dichotomy
Abstract

In this paper, the low-order harmonic elimination problem of H-bridge unit number 3 is explored with the cascade H-bridge converter. The initial value is calculated by using the method of vertical bisector reference sinusoidal signal, and then using the principle of least squares The Gauss-Newton method is iteratively solved, and the three switching angles are respectively, and the corresponding THD is 11.39%. Through the dichotomy to discuss the angle of the modulation ratio when the switching angle is resolved, the corresponding THD range is.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
978-94-6252-346-3
ISSN
2352-5401
DOI
10.2991/msmee-17.2017.113How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Suting Gao
PY  - 2017/05
DA  - 2017/05
TI  - Research on Ladder Wave - specific Harmonic Elimination Technology for Cascade H - bridge Converter
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 579
EP  - 582
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.113
DO  - 10.2991/msmee-17.2017.113
ID  - Gao2017/05
ER  -