Predictive current control and DC-link capacitor voltages balancing for four-leg NPC inverters

V. Yaramasu, B. Wu, M. Rivera, J. Rodriguez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Scopus citations

Abstract

This paper presents a finite control set model predictive strategy to control the three-phase four-leg neutral-point-clamped (NPC) inverters. The four-leg NPC inverter delivers power to the unbalanced/nonlinear three-phase loads, and it can produce three output currents independently. The proposed method uses the discrete-time model of the inverter and load to predict the load current and capacitor voltages behavior for each valid switching state of the inverter. The control method chooses a state which generates the minimum error between the output currents and their references and also between the capacitor voltages. The neutral-leg switching frequency reduction algorithm is also proposed to improve the efficiency of the converter. Through computer simulations, the feasibility of the proposed predictive control scheme is verified; it performs well, showing a clear capacity to compensate disturbances while balancing the DC-link capacitor voltages and reducing the average switching frequency.

Original languageEnglish (US)
Title of host publication2013 IEEE International Symposium on Industrial Electronics, ISIE 2013
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 IEEE 22nd International Symposium on Industrial Electronics, ISIE 2013 - Taipei, Taiwan, Province of China
Duration: May 28 2013May 31 2013

Publication series

NameIEEE International Symposium on Industrial Electronics

Conference

Conference2013 IEEE 22nd International Symposium on Industrial Electronics, ISIE 2013
Country/TerritoryTaiwan, Province of China
CityTaipei
Period5/28/135/31/13

Keywords

  • Diode-clamped
  • Four-leg converters
  • NPC inverter
  • Predictive control
  • Three-level converters

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

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