A Singular Value Decomposition based Space Vector Modulation to Reduce the Output Common-Mode Voltage of Direct Matrix Converters
Author(s) -
Quanxue Guan,
Ping Yang,
Quansheng Guan,
Xiaohong Wang,
Qinghua Wu
Publication year - 2016
Publication title -
journal of power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.23
H-Index - 33
eISSN - 2093-4718
pISSN - 1598-2092
DOI - 10.6113/jpe.2016.16.3.936
Subject(s) - space vector modulation , control theory (sociology) , common mode signal , converters , matrix (chemical analysis) , modulation (music) , singular value decomposition , voltage , overhead (engineering) , mathematics , topology (electrical circuits) , engineering , computer science , algorithm , electronic engineering , pulse width modulation , physics , artificial intelligence , materials science , control (management) , digital signal processing , combinatorics , acoustics , analog signal , electrical engineering , composite material
Large magnitude common-mode voltage (CMV) and its variation dv/dt have an adverse effect on motor drives that leads to early winding failure and bearing deterioration. For matrix converters, the switch states that connect each output line to a different input phase result in the lowest CMV among all of the valid switch states. To reduce the output CMV for matrix converters, this paper presents a new space vector modulation (SVM) strategy by utilizing these switch states. By this mean, the peak value and the root mean square of the CMV are dramatically decreased. In comparison with the conventional SVM methods this strategy has a similar computation overhead. Experiment results are shown to validate the effectiveness of the proposed modulation method.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom