Robust Adaptive Control of Interleaved Boost Converter for Fuel Cell Application

Shengrong Zhuo, Liangcai Xu, Yigeng Huangfu, Arnaud Gaillard, Damien Paire, Fei Gao

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

In this article, a robust adaptive controller based on active disturbance rejection control algorithm is proposed for interleaved dc-dc Boost converter for fuel cell application. The unknown load power and parametric variations are regarded as part of the total disturbance, which is estimated by extended-state-observer (ESO), and then canceled in the control law. Within the proposed controller, the parameter {b_0} is adapted in real-time to reduce the estimation burden of ESO. It is shown that compared with the conventional controller, the proposed controller can achieve significant improvement in terms of robustness, the strong antidisturbance performance can be maintained with the varied number of active phases. Finally, simulation and experimental results validate the effectiveness and superiority of the proposed controller.

Original languageEnglish
Pages (from-to)6603-6610
Number of pages8
JournalIEEE Transactions on Industry Applications
Volume57
Issue number6
DOIs
StatePublished - 2021

Keywords

  • Antidisturbance
  • dc-dc power converter
  • fuel cell (FC) application
  • interleaved converter
  • robustness

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