Model Predictive Control for Space Vector Modulation of a Three-Level ANPC Inverter for Efficient Loss Distribution and Neutral Point Balancing

This paper presents an efficient loss distribution and Neutral Point (NP) balancing method for a grid-connected Three-Phase Three-Level Active Neutral Point Clamped (3L-ANPC) inverter. A Finite Control Set Model Predictive Control (FCS-MPC) technique is used to select the optimum redundant active vo...

Full description

Saved in:
Bibliographic Details
Published in2019 21st European Conference on Power Electronics and Applications (EPE '19 ECCE Europe) pp. 1 - P.10
Main Authors Rauf, Umar, Schutt, Michael, Eckel, Hans-Gunter
Format Conference Proceeding
LanguageEnglish
Published EPE Association 01.09.2019
Subjects
Aerospace electronics
Europe
IGBT
Insulated gate bipolar transistors
Inverters
Legged locomotion
Modulation
Modulation strategy
Multilevel converters
Optimal control
Predictive control
Thermal stress
Online AccessGet full text

Cover

More Information
Summary:This paper presents an efficient loss distribution and Neutral Point (NP) balancing method for a grid-connected Three-Phase Three-Level Active Neutral Point Clamped (3L-ANPC) inverter. A Finite Control Set Model Predictive Control (FCS-MPC) technique is used to select the optimum redundant active voltage vectors and redundant zero voltage vectors during the Space Vector Modulation (SVM). A direct discrete loss model is designed for the IGBT switches of the 3L-ANPC inverter, to calculate the junction temperature T j of the IGBT switches for each sampling point, using information about conduction and switching losses, and thermal properties of the housing and cooling. To evaluate the performance of FCS-MPC, a T j comparison is held out with a reference from literature. This reference utilizes a decision table based on an energy loss model. Furthermore, the performance of the FCS-MPC technique for loss distribution is analyzed during steady state. The FCS-MPC technique for NP balancing is evaluated during steady and transient states.
DOI:10.23919/EPE.2019.8915514