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

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 t...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2016-12, Vol.63 (12), p.7876-7886
Main Authors: Ghanes, Malek, Trabelsi, Mohamed, Abu-Rub, Haitham, Ben-Brahim, Lazhar
Format: Article
Language:English
Subjects:
Adaptive control
Adaptive observer (AO)
Algorithms
Capacitors
Configuration management
Continuity (mathematics)
Engineering Sciences
flying capacitors inverter (FCI)
Inverters
Load modeling
model predictive control (MPC)
Observers
Predictive control
Real variables
robustness
Stability analysis
Switches
Voltage control
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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).
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2016.2606359