Robust Adaptive Observer-Based Model Predictive Control for Multilevel Flying Capacitors Inverter

Malek Ghanes, Mohamed Trabelsi, Haitham Abu-Rub, Lazhar Ben-Brahim

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

This paper presents an adaptive observer (AO)-based model predictive control (MPC) for a multilevel flying capacitors inverter (FCI). The proposed system consists of a midpoint dc-link three-cell four-level FCI feeding an RL load. Using the actual load current, the proposed AO estimates accurately the capacitors' voltages, which are fed to the MPC algorithm by means of a hybrid model considering both discrete and continuous variables. For real-time constraints, sufficient conditions are given to guarantee the practical stability of the proposed AO-based MPC. Theoretical analysis and experimental results are given to show that the proposed method is stable for all system configurations and has good performances even during disturbances (load change, input change, and parameters variations).

Original languageEnglish
Pages (from-to)7876-7886
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Volume63
Issue number12
DOIs
Publication statusPublished - 1 Dec 2016

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Keywords

  • Adaptive observer (AO)
  • flying capacitors inverter (FCI)
  • model predictive control (MPC)
  • robustness
  • stability analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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