On-line parameter estimation of non-minimum phase switch mode power DC-DC boost converters

Ruisheng Li, Matthew Armstrong, Shady Gadoue, Chen Wang

Research output: Chapter in Book/Report/Conference proceedingConference publication

Abstract

Time varying parameters, such of passive components within the circuit and load elements, can significantly impact on the control and voltage regulation of power electronic systems, such as switch mode power converters (SMPC). Therefore, there is increasing interest in parametric system identification and adaptive control techniques to optimize system performance. Most literature focuses on the DC-DC buck converter. However, unlike the DC-DC buck converter, the boost converter has two left half-plane poles (LHP) and one right half-plane (RHP) zero in its mathematical model. The existence of a RHP zero in the s-domain transfer function causes a zero to be outside of the unit cycle in the discrete model. As a result, system identification of the boost converter is much more difficult in comparison to the buck converter. The paper sets out to illustrate the RHP zero problem in detail and propose a novel method to resolve this problem.

Original languageEnglish
Title of host publication8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016)
PublisherIET
ISBN (Print)978-1-78561-188-9
DOIs
Publication statusPublished - 21 Apr 2016
Event8th IET International Conference on Power Electronics, Machines and Drives, PEMD 2016 - Glasgow, United Kingdom
Duration: 19 Apr 201621 Apr 2016

Conference

Conference8th IET International Conference on Power Electronics, Machines and Drives, PEMD 2016
CountryUnited Kingdom
CityGlasgow
Period19/04/1621/04/16

Keywords

  • Dc-Dc converter
  • Non-minimum phase system
  • Right half plane zero
  • System Identification

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    Li, R., Armstrong, M., Gadoue, S., & Wang, C. (2016). On-line parameter estimation of non-minimum phase switch mode power DC-DC boost converters. In 8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016) IET. https://doi.org/10.1049/cp.2016.0172