Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/141589
Title: Feedback linearization-based current control strategy for modular multilevel converters
Authors: Yang, Shunfeng
Wang, Peng
Tang, Yi
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2017
Source: Yang, S., Wang, P., & Tang, Y. (2018). Feedback linearization-based current control strategy for modular multilevel converters. IEEE Transactions on Power Electronics, 33(1), 161-174. doi:10.1109/TPEL.2017.2662062
Journal: IEEE Transactions on Power Electronics
Abstract: Modular multilevel converters (MMCs) are multi-input multi-output (MIMO) nonlinear systems. The control systems for MMCs are required to simultaneously achieve multiple control objectives, e.g., output current regulation, submodule capacitor voltage control, and circulating ripple currents suppression. Existing cascaded control strategies for MMCs achieve those control objectives with relatively complex controllers, and the controller parameter design is normally difficult for such nonlinear systems with highly coupled states. In view of this, a feedback linearization-based current control strategy is proposed for an MMC system in this paper. The nonlinear state function model of the MMC is presented and transformed to a linearized and decoupled form with the help of the input-output feedback linearization technique. Based on the linearized system, simple linear controllers are employed to regulate the output and inner differential currents of the MMC, which significantly reduces the difficulty in controller design. The stability of the proposed control strategy is analyzed. The experimental verification results show that, compared to the conventional cascaded control strategies for MMCs, the proposed feedback linearization control strategy is able to achieve improved steady-state and dynamic performances. The robustness of the proposed control strategy against parametric uncertainties is experimentally investigated.
URI: https://hdl.handle.net/10356/141589
ISSN: 0885-8993
DOI: 10.1109/TPEL.2017.2662062
Rights: © 2017 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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