Robust adaptive flatness based control for non-ideal boost converter in fuel cell electric vehicles

Qian Li, Yigeng Huangfu, Liangcai Xu, Dongdong Zhao, Fei Gao

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

In this paper, an innovative robust dual loop control strategy for the non-ideal Boost converter subject to load resistance disturbances and input voltage variation is successfully developed and implemented. By converting the power losses of non-ideal Boost converter into serial and parallel resistance, the equivalent circuit and its mathematical model are established. Then, for the outer voltage loop, a flatness based control incorporated with a parameters estimation technique used to estimate the unknown input voltage and output current is designed to assure tight reference voltage tracking under the extern disturbances. Meanwhile, a rigorous stability proof based on the Routh-Hurwitz criteria is given. Moreover, for the inner current loop, a simple PI controller is employed to achieving the reference current tracking. Finally, the validity and robustness of the proposed control scheme and parameters estimation accuracy are verified through numerical simulation.

Original languageEnglish
Pages1707-1712
Number of pages6
DOIs
StatePublished - 2019
Event2019 IEEE International Conference on Industrial Technology, ICIT 2019 - Melbourne, Australia
Duration: 13 Feb 201915 Feb 2019

Conference

Conference2019 IEEE International Conference on Industrial Technology, ICIT 2019
Country/TerritoryAustralia
CityMelbourne
Period13/02/1915/02/19

Keywords

  • dual loop control
  • flatness based control
  • Non-ideal Boost converter
  • parameters estimation

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