A Novel Adaptive Control of Three-Phase Inverter for Standalone Distributed Generation System Using Modified Super-Twisting Algorithm with Time Delay Estimation

Mohamed Hamza Laraki, Brahim Brahmi, Ambrish Chandra, Kodjo Agbossou, Alben Cardenasgonzalez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Distributed Generation (DG) systems, such as renewable energy sources and fuel cells are widely used for standalone microgrids to complement fossil fuel generators. However, these systems still suffer from various problems such as dynamics uncertainties, external disturbances, and imprecision of the system parameters. In this paper, we present a new Integral super-twisting Terminal Sliding Mode Control incorporating Time Delay Estimation (STA-TDE) applied to Three-Phase Inverter for Standalone Distributed Generation System with dynamics uncertainties and unknown bounded disturbances. Unlike conventional adaptive approaches, the proposed Time Delay Estimation uses delayed one step only of the control input and outputs of the system to approximate the uncertain dynamics. A finite time of both selected sliding surface and estimation error simultaneous is achieved using an appropriate Lyapunov function. Numerical simulation results found to confirm the effectiveness of the proposed control.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages740-745
Number of pages6
ISBN (Electronic)9781728136660
DOIs
StatePublished - Jun 2019
Externally publishedYes

Publication series

NameIEEE International Symposium on Industrial Electronics
Volume2019-June

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Distributed Generation System
  • Lyapunov stability.
  • Super-Twisting control
  • Time Delay Estimation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

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