Journal of System Simulation
Abstract
Abstract: The algorithm of conventional space vector PWM for three-phase four-switch fault-tolerant APF chooses different coordinate transformation control algorithm based on the fault location selection of phase A, phase B, phase C. The calculation process involves a lot of coordinate operation, and, is not conducive to the fault switching. A unified SVPWM for three-phase four-switch Fault-tolerant active power filter based on inductor current is presented. The traditional SVPWM control needs complex coordinate transformations. The simplified algorithm takes the inductor current change as the control target, doesnot complicated coordinate transformation calculation, and the form of the calculation is unified, which is easy to the fault switching. At the same time, the calculation of three-phase four-switch active power filter is reduced effectively, and the harmonic compensation accuracy of the three-phase four-switch APF is improved. The simulation results verify the effectiveness of the proposed algorithm.
Recommended Citation
Yang, Jianfeng; Hui, Jiang; and Zhou, Tianqi
(2019)
"Control method of unified SVPWM for three-phase four-switch Fault-tolerant APF based on inductor current,"
Journal of System Simulation: Vol. 31:
Iss.
10, Article 16.
DOI: 10.16182/j.issn1004731x.joss.17-0429
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol31/iss10/16
First Page
2103
Revised Date
2017-11-03
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.17-0429
Last Page
2111
CLC
TM71
Recommended Citation
Yang Jianfeng, Jiang Hui, Zhou Tianqi. Control method of unified SVPWM for three-phase four-switch Fault-tolerant APF based on inductor current[J]. Journal of System Simulation, 2019, 31(10): 2103-2111.
DOI
10.16182/j.issn1004731x.joss.17-0429
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons