Artificial Intelligence-Based Weighting Factor Autotuning for Model Predictive Control of Grid-Tied Packed U-Cell Inverter

Artificial Intelligence-Based Weighting Factor Autotuning for Model Predictive Control of Grid-Tied Packed U-Cell Inverter

The tuning of weighting factor has been considered as the most challenging task in the implementation of multi-objective model predictive control (MPC) techniques. Thus, this paper proposes an artificial intelligence (AI)-based weighting factor autotuning in the design of a finite control set MPC (F...

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Bibliographic Details
Main Authors: Mostefa Mohamed-Seghir, Abdelbasset Krama, Shady S. Refaat, Mohamed Trabelsi, Haitham Abu-Rub
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Energies
Subjects:
artificial intelligence
packed U-cell (PUC) inverter
weighting factor autotuning
model predictive control
Online Access:https://www.mdpi.com/1996-1073/13/12/3107

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https://www.mdpi.com/1996-1073/13/12/3107

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