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Title: Closed-loop analytic filtering scheme of capacitor voltage ripple in multilevel cascaded H-bridge converters
Authors: Rodriguez, Ezequiel Ramos
Farivar, Glen Ghias
Beniwal, Neha
Townsend, Christopher David
Dehghani Tafti, Hossein
Vazquez, Sergio
Pou, Josep
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2020
Source: Rodriguez, E., Farivar, G. G., Beniwal, N., Townsend, C. D., Dehghani Tafti, H., Vazquez, S., & Pou, J. (2020). Closed-loop analytic filtering scheme of capacitor voltage ripple in multilevel cascaded H-bridge converters. IEEE Transactions on Power Electronics, 35(8), 8819-8832. doi:10.1109/TPEL.2020.2966305
Journal: IEEE Transactions on Power Electronics 
Abstract: This article proposes a closed-loop analytic filtering scheme for the low-frequency capacitor voltage ripple in cascaded H-bridge converters. Although this technique can be applied to a number of cascaded converter applications, this article focuses particularly on the low-capacitance cascaded H-bridge static compensator. Filtering of capacitor voltage signals is particularly important in this application, due to the presence of large low-frequency harmonic voltage ripple. The main novelty of the proposed algorithm in this article is the estimation of the capacitance value of each H-bridge. The closed-loop capacitance estimation method reduces steady-state error in estimated voltage ripple magnitude and phase, which is otherwise present in the available open-loop filters in the literature. Furthermore, fast dynamic response is achieved compared to filtering schemes based on low-pass and bandstop filters. Therefore, the proposed solution optimizes the tradeoff between filtering accuracy and transient response. It also mitigates parametric uncertainties, time delays, and harmonic contamination in the outer voltage control loop. Furthermore, the estimated capacitance is also useful to track the state of health of the dc-link capacitors. Experimental results on a seven-level 1-kVA cascaded H-bridge prototype are presented to demonstrate the comparative performance of the proposed filtering scheme and traditional approaches.
ISSN: 0885-8993
DOI: 10.1109/TPEL.2020.2966305
Rights: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at:
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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