@inproceedings{e02d431b4b4e4500bfec52107bcc08e3,
title = "Self-healing model predictive controlled cascaded multilevel inverter",
abstract = "This work presents a modified model predictive control (MPC) with open-circuit fault-detection and fault-tolerance capabilities for grid-connected multilevel inverters. The proposed self-healing model predictive control (SMPC) approximates the error in the inverter output voltage, and executes a diagnostic algorithm if this error exceeds a pre-defined tolerance. This diagnostic algorithm determines the switch with an open-circuit failure in a duration less than one fundamental period. After an open-circuit failure is detected, the controller will reduce the set of permissible control actions, allowing the inverter to retain healthy operation. Unlike the existing methods, the proposed SMPC combines fault-detection techniques with the direct application for corrective actions for fast fault clearness. The theoretical analysis and case studies verify the functionality of the proposed self-healing MPC scheme for a grid-tied seven-level cascaded multilevel inverter (CMI).",
keywords = "Fault-detection, Fault-tolerance, Model predictive control, Open-circuit fault, Smart inverter",
author = "Mitchell Easley and Matthew Baker and Ahmad Khan and Shadmand, \{Mohammad B.\} and Haitham Abu-Rub",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 ; Conference date: 29-09-2019 Through 03-10-2019",
year = "2019",
month = sep,
doi = "10.1109/ECCE.2019.8913011",
language = "English",
series = "2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "239--244",
booktitle = "2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019",
address = "United States",
}