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Coordinate Descent Auto-Tuning Architecture for Multi Rail DC-DC Switch Mode Power Converters

Lookup NU author(s): Dr Maher Al-Greer, Dr Matthew Armstrong, Jin Xu

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Abstract

© 2018 IEEE. This paper proposes a new architecture for auto-tuning control of independent multi rail DC-DC power converters. The presented architecture is based on a low computational complexity parameter estimation and system identification technique using a Leading Coordinate Descent (CD) algorithm. A single system identification algorithm is used to estimate all the parameters of a multi rail DC-DC converter system and then determine optimal PID coefficients for each individual converter. An Equation Error (QE), Infinite Impulse Response (IIR) adaptive filter is used alongside the CD algorithm to model the Switch Mode Power Converter (SMPC). The presented results demonstrate the effectiveness and robustness of the proposed architecture, in terms of computation complexity, accurate estimation, and high performance dynamic response for all DC-DC converters present.


Publication metadata

Author(s): Al-Greer M, Armstrong M, Xu J

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2018 IEEE 19th Workshop on Control and Modeling for Power Electronics, COMPEL 2018

Year of Conference: 2018

Online publication date: 13/09/2018

Acceptance date: 25/06/2018

Publisher: Institute of Electrical and Electronics Engineers Inc.

URL: https://doi.org/10.1109/COMPEL.2018.8459940

DOI: 10.1109/COMPEL.2018.8459940

Library holdings: Search Newcastle University Library for this item

ISBN: 9781538655412


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