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Lookup NU author(s): Dr Maher Al-Greer,
Dr Matthew Armstrong,
Dr Mohamed Ahmeid,
Professor Damian Giaouris
This is the authors' accepted manuscript of an article that has been published in its final definitive form by IEEE, 2019.
For re-use rights please refer to the publisher's terms and conditions.
IEEE System identification is fundamental in many recent state-of-the-art developments in power electronic such as modelling, parameter tracking, estimation, self-tuning and adaptive control, health monitoring, and fault detection. Therefore, this paper presents a comprehensive review of parametric, non-parametric, and dual hybrid system identification for DC-DC Switch Mode Power Converter (SMPC) applications. The paper outlines the key challenges inherent with system identification for power electronic applications; speed of estimation, computational complexity, estimation accuracy, tracking capability, and robustness to disturbances and time varying systems. Based on literature in the field, modern solutions to these challenges are discussed in detail. Furthermore, this paper reviews and discusses the various applications of system identification for SMPCs; including health monitoring and fault detection.
Author(s): Al-Greer M, Armstrong M, Ahmeid M, Giaouris D
Publication type: Article
Publication status: Published
Journal: IEEE Transactions on Power Electronics
Pages: 6973 - 6990
Print publication date: 01/07/2019
Online publication date: 10/10/2018
Acceptance date: 02/04/2018
Date deposited: 31/10/2018
ISSN (print): 0885-8993
ISSN (electronic): 1941-0107
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