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

Maher Al-Greer, Matthew Armstrong, Jin Xu

Research output: Contribution to conferencePaper

Abstract

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.
Original languageEnglish
Publication statusPublished - 25 Jun 2018
EventIEEE 19th Workshop on Control and Modeling for Power Electronics - University of Padova, Padua, Italy
Duration: 25 Jun 201828 Jun 2018
http://sites.ieee.org/compel2018/

Conference

ConferenceIEEE 19th Workshop on Control and Modeling for Power Electronics
Abbreviated titleCOMPEL
CountryItaly
CityPadua
Period25/06/1828/06/18
Internet address

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  • Cite this

    Al-Greer, M., Armstrong, M., & Xu, J. (2018). Coordinate Descent Auto-Tuning Architecture for Multi Rail DC-DC Switch Mode Power Converters. Paper presented at IEEE 19th Workshop on Control and Modeling for Power Electronics , Padua, Italy.