Please use this identifier to cite or link to this item:
https://dspace.upt.ro/xmlui/handle/123456789/7232
Title: | KF Filter Algorithm in Multilevel Inverter for Harmonics Reduction [articol] |
Authors: | Dhineshkumar, K. Subramani, C. |
Subjects: | KF Filter Multilevel inverter Harmonics Power quality |
Issue Date: | 2018 |
Publisher: | Timișoara : Editura Politehnica |
Citation: | Dhineshkumar,K.; Subramani,C.: KF Filter Algorithm in Multilevel Inverter for Harmonics Reduction. Timişoara: Editura Politehnica, 2018. |
Series/Report no.: | Journal of Electrical Engineering;Vol 18 No 3 |
Abstract: | This Paper approaches the showing and modernization of PV based 13-level multilevel inverter with less number of switches using Kalman filter. The current multilevel inverter contains the number of switches and voltage sources. A multilevel level inverter is a be understandable among the most gainful power converters for high power application and present day applications with reduced tune. Multilevel level inverter not simply fulfills high power output waveform and besides used as a piece of economical power sources using photovoltaic. The controller gives actual way day and age to switches through driver circuit using PWM methodology A Kalman Filter (KF) is introduced to improve the Performance and reliability of the inverter. The execution assessment of proposed multilevel inverter is checked using MATLAB/Simulink and prototype model implemented. This is the outstanding among other technique appeared differently in relation to all other existing systems.. The proposed LET-KF algorithm is compared with conventional KF based algorithms like KF, Ensemble Kalman Filter (En- KF) algorithms for harmonic estimation with the random noise values 0.001, 0.05 and 0.1. |
URI: | https://dspace.upt.ro/xmlui/handle/123456789/7232 |
ISSN: | 1582-4594 |
Appears in Collections: | Articole științifice/Scientific articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
BUPT_ART_Dhineshkumar_f.pdf | 462.08 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.