Weighting Factor Design in Model Predictive Control of Power Electronic Converters: An Artificial Neural Network Approach

This paper proposes the use of an artificial neural network (ANN) for solving one of the ongoing research challenges in finite set-model predictive control (FS-MPC) of power electronics converters, i.e., the automated selection of weighting factors in cost function. The first step in this approach i...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on industrial electronics (1982) Vol. 66; no. 11; pp. 8870 - 8880
Main Authors:	Dragicevic, Tomislav, Novak, Mateja
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.11.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Artificial neural network (ANN) Artificial neural networks Automatic control Business metrics Computer simulation Converters Cost function Design factors finite set-model predictive control (FS-MPC) Fitness Harmonic distortion Measurement Neural networks Performance measurement Power electronics Predictive control Simulation Switches Switching frequency Uninterruptible power supplies Uninterruptible power systems voltage source converter (VSC) weighing factor design Weighting
ISSN:	0278-0046, 1557-9948
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!